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Review

Intensification of Photo-Assisted Advanced Oxidation Processes for Water Treatment: A Critical Review

by
Jorge Rodríguez-Chueca
1,
Jaime Carbajo
2,* and
Patricia García-Muñoz
1
1
Department of Industrial Chemical & Environmental Engineering, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, Calle José Gutiérrez Abascal 2, 28006 Madrid, Spain
2
Chemical and Materials Engineering Department, Universidad Complutense de Madrid, Pl. de las Ciencias, 2, 28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
Catalysts 2023, 13(2), 401; https://doi.org/10.3390/catal13020401
Submission received: 29 December 2022 / Revised: 3 February 2023 / Accepted: 8 February 2023 / Published: 13 February 2023

Abstract

:
In recent decades, ultraviolet-assisted advanced oxidation processes (UV-AOPs) have been successfully applied to remove a wide range of contaminants from polluted water. Despite this, their extended use on an industrial scale is still far from being a reality, largely limited by the operational costs that these processes still entail. In recent years, many researchers have been working to increase UV-AOP efficiency and reduce capital and operating costs. This work aims to review different strategies devoted to the intensification of UV-AOPs. Firstly, the optimization of operational parameters, such as catalyst loading, pH, temperature, or oxidant concentration, has been reviewed as a strategy to augment the efficiency of the photocatalytic processes and reduce reagent consumption and/or treatment time. The review also discusses the development of photocatalytic materials to intensify the UV-AOPs process, and finally, the combination or integration of different UV-AOPs for the treatment of pollutants is also examined.

1. Introduction

In recent decades, sustained and ubiquitous emission of persistent organic pollutants (i.e., pharmaceuticals, pesticides, personal hygiene products, among others) into the environment has triggered the demand for more efficient wastewater treatment technologies. In this regard, advanced oxidation processes (AOPs) have emerged as promising alternatives to conventional treatments [1]. The advantages of these processes include rapid and non-selective reactions of HO with pollutants, the capability of hydroxyl radicals to mineralise organic pollutants into stable inorganic compounds such as water, carbon dioxide and salts, and mild operating conditions. Furthermore, when AOPs are assisted or mediated by UV light (UV-AOPs), the ability to treat persistent pollutants or provide efficient disinfection is enhanced by increasing the efficacy of oxidant agents (H2O2, S2O82−, O3, etc.) conversion into active free radicals (HO, SO4•−).
There is a wide spectrum of UV-AOPs treatments which may be classified as homogeneous or heterogeneous, as shown in Figure 1. Photo-assisted homogeneous or heterogeneous Fenton (H2O2/Fe2+/UV) uses UV–Vis irradiation for the photolysis of Fe3+ complexes by regenerating Fe2+, which subsequently decompose H2O2 into active HO. In heterogeneous photocatalysis (TiO2/UV), the absorption of a photon with energy equal to or higher than the band-gap of the semiconductor leads to the formation of electron–hole pairs (e/h+) and subsequently to hydroxyl radicals. For their part, O3- or H2O2-based AOPs can also be combined with UV to form active hydroxyl radicals (O3/UV; O3/H2O2/UV or H2O2/UV). In addition, UV-AOPs can use sulfate radicals (SO4•−) as powerful oxidants with a high redox potential of 2.6 V (approximate to HO (2.8 V)) [2] by activating potassium/sodium persulfate (PS) or potassium peroxymonosulfate (PMS) salts.
Despite the undeniable advantages of UV-AOPs already described, there are significant limitations to the implementation of these processes on an industrial scale. Perhaps, the latter may be explained by the relatively high operating costs (light energy, chemical reagent consumption, etc.) and capital costs (photo-reactors design complexity, even when solar light is employed). Other specific limitations may also be cited, such as optimisation requirements of oxidant dosage to avoid excessive HO formation, the acidic conditions and iron removal requirements in photo-Fenton processes, or design photoreactor limitations, as UV light penetration is strongly attenuated by turbidity [3]. Therefore, full-scale UV-AOPs application is very limited, and their implementation is still far from being a reality [4,5].
In this context, intensification of UV-AOPs (i.e., setting innovative improvements in the process to increase efficiency or lower capital and operating costs [6]) is undoubtedly a promising avenue to improve the feasibility of these processes on an industrial scale. In recent years, many researchers have been working to increase the efficiency of UV-AOPs and reduce capital and operating costs. Nevertheless, currently, very few review works address effective strategies for improving or intensifying AOPs processes, and to the best of our knowledge, none of these reviews focus specifically on UV-assisted AOPs. Therefore, this review attempts to compile some of the main strategies that can be implemented to optimise UV-AOPs, including the optimisation of operation conditions, the employment of novel and bi-functional catalysts, and the synergistic combination of UV-AOPs.
One strategy to intensify the efficiency of UV-AOPs processes is to optimise operating conditions to reduce reagent consumption and minimise the time needed for pollutant removal and mineralisation. The efficiency of these processes is affected by different operational parameters such as catalyst loading, pH, temperature, and oxidant concentration. Many recent studies have focused on optimising these parameters to intensify the photocatalytic process. In the case of catalyst loading, increasing it can improve the pollutant removal rates, but exceeding the maximum optimal value can slow the rate of mineralisation. Different studies have found varying optimal concentrations for different catalysts and conditions, and some have developed models to better understand the dependence of reaction rates on catalyst loadings.
Another section is focused on the use of bifunctional catalysts used for the photocatalytic treatment of polluted water as a strategy for the process intensification. In recent years, much effort has been spent for developing photocatalytic materials to improve the process efficiency. This intensification has mainly been conducted in two directions: to reduce physical limitations of the reaction and to increase the overall yield of the treatment, which is also related to chemical limitations. The main approaches to augment the overall yield via photocatalysts can be divided into two main categories: design orientated to reduce mass and photon transfer limitations, and design of bifunctional catalysts that increase the generation of oxidising species. These latest, which are bifunctional catalysts, play a dual role in the process. A bifunctional catalyst can be considered for every non-consumed material with a double role in the reaction, i.e., bulk semiconductor nature and with surface catalytic sites, or the combination of a high adsorption and a photocatalytic role. These strategies are further discussed, including the main approaches found in the literature for each of them.
Finally, this review discusses the combination of different photo-assisted UV-AOPs, for the treatment of pollutants as intensification strategy. The combination of processes is often carried out with the aim of obtaining a positive synergistic effect [7], but this is not always the case, and antagonistic effects could be observed [8]. The text describes hybrid (or single-step combined process) and sequential (or two-step combined process) systems that combine AOPs with other technologies, for instance with other AOPs or with other kind of technologies (i.e., physical, chemical or biological). The combination of processes is often associated with a further step in the maturity of the technology and its proximity to application on a larger scale. It is for this reason that, throughout this section, a greater number of close-to-reality works using pilot scales are observed. However, more research is needed to understand the mechanisms of these combinations and to improve their applicability and efficiency at larger scales.

2. Intensification of Operational Conditions in UV-AOPs

Among all intensification strategies, probably one of the most obvious and effective is the optimization of operating conditions that aim to either reduce reagent consumption or minimize the time required to achieve the appropriate pollutant removal and/or mineralization. This section specifically covers recent approaches devoted to the optimisation of the most relevant operational conditions. In this regard, the efficiency of the UV-AOPs processes is severally affected by different operational parameters such as catalyst loading, pH, temperature and or oxidant concentration, among others [9]. In this section, we focus on those variables that can be intensified in operation, leaving aside those that are given by the nature of the effluent to be treated (pollutant load, presence of salts) or by the reaction system (reactor configuration, nature, and intensity of the irradiation). Many works have addressed new strategies for optimising these parameters in recent years to intensify the photocatalytic process, some of which are listed in Table 1, Table 2, Table 3 and Table 4. Furthermore, Figure 2 shows the key points to be considered for the optimisation of operating conditions in UV-AOPs.

2.1. Catalyst Loading

In catalytic processes, the increase in catalyst loading usually boosts the formation of active radicals, which is translated into higher pollutant depletion rates. Nevertheless, the catalyst load can only increase up to a certain maximum value in ultraviolet (UV) catalytic processes. Exceeding this optimum results in a shielding phenomenon in which a large part of incident radiation is reflected by scattering, preventing most photons from reaching the catalyst particles, causing the rate of mineralisation to slow down [10].
In UV-TiO2 processes, the optimum catalyst mass has usually been empirically fixed. In this regard, many works have optimised catalyst concentration for different reactor geometries and applications such as dyes (methylene blue) [11,12], emerging pollutants (caffeine) [13], pharmaceuticals (diclofenac, cefotaxime, ibuprofen) [14,15,16] or pesticides [17], among others. Similarly, optimal catalyst loadings have also been observed in other UV-activated heterogeneous catalytic systems, such as UV light-assisted persulfate activation by Cu0-Cu2O for the degradation of sulfamerazine [18] or persulfate activation by polymeric photocatalysts based on g-C3N4 [19]. As can be seen in Table 1, the optimum concentrations vary greatly (0.3 g/L to 2.5 g/L) depending on incident irradiation, path length, and type of catalyst. Optimal loading changes completely with different types of catalysts, such as TiO2 and ZnO, under the same conditions [15].
Finding the optimal concentration for each photocatalytic system is not a practical strategy for engineering purposes in the design and optimisation of large-scale photocatalytic reactors [20]. For this reason, some works have focused their efforts on the description of a model including, in an explicit way, the dependence of the reaction rate on the volumetric rate of photon absorption in catalyst suspensions. Therefore, Carbajo and Tolosana et al. [21,22] used reflectance measurements to obtain the extinction coefficients in the UV-A range and the radiation profiles inside the photoreactor to solve the radiative transfer equation (RTE). The corresponding kinetic parameters were well suited to optimise catalyst loadings for different morphological and hydrodynamic characteristics such as titanium dioxides P25, P25/20, and P90, which represents a significant step forward in the design and optimisation of large-scale photocatalytic reactors. For their part, Casado et al. [20] radiated TiO2 suspensions with concentrations between 0.005 and 5 g·L−1 to develop a model considering both computational fluid dynamics (CFD) and the resolution of the RTE. This approach includes not only the effect of fluid mechanics, mass transport and chemical reaction, but also radiation transfer, showing an optimum catalyst loading around 0.1–0.2 g·L−1. Li puma and co-workers [23,24] studied the radiative transfer phenomena in different reactor configurations (solar annular and rectangular channel flat reactors), by coupling a six-flux radiation absorption-scattering model to the Henyey–Greenstein scattering phase function (SFM-HG). The authors provide a new approach to measure the impact of catalyst loading and optical properties suspensions of two different photocatalysts as TiO2 (or modified Ag-TiO2) and goethite.
In UV/Fe/H2O2 processes, the amount of Fe also plays a crucial role in the production of active radicals. For example, a few mg/L of iron may be enough for the treatment of low concentrated wastewater containing emerging pollutants such as carbamazepine or 5-Fluorouracil [25,26], but catalyst loading could require up to hundreds of mg/L Fe when treating sour water from a refinery plant [27]. Although, generally speaking, increases in iron concentration always led to increases in disappearance kinetic rates, at a certain level, this improvement is residual and the efficiency decreases significantly due to the ineffective decomposition of H2O2 caused by excess iron, which can act as a scavenger of hydroxyl radicals, reducing process efficiency (see Equation (1)):
Fe2+ + HO → OH + Fe3+
Furthermore, excess Fe can severely limit the optical path in the photoreactor [9], reducing the efficiency of photon absorption inside the photoreactor. The influence of iron and irradiance level on pyrimethanil degradation by the photo-Fenton process was analysed by Cabrera Reina et al. [28]. The authors realised that the efficacy of the treatment clearly improved by increasing the dose of Fe from 8 to 20 mg·L−1; thus, iron was no longer the rate limiting factor as the process improves with irradiance, but another increase to 32 mg·L−1 caused severely inefficient H2O2 consumption, and similar degradation rates were observed due to the undesirable excess of radical production. Under the conditions of this study, the lowest costs values were found with 20 mg·L−1 of Fe, proving the ineffectiveness of increasing Fe doses beyond a certain point. Therefore, in UV/Fe/H2O2, the Fe dosage must be specifically balanced with the amount of H2O2 and the type of wastewater.
Table 1. UV-AOPs intensification by catalyst loading optimisation.
Table 1. UV-AOPs intensification by catalyst loading optimisation.
Photocatalytical SystemTarget
Pollutant
Catalysts Loading ConditionsRemarksExperimental
Remarks
Ref.
TiO2/UV-AMethylene Blue (Dye)[catalyst] = 0.5, 1, 1.5 g/LOptimum achieved at 1 g/L
(k = 0.0801 min−1)
MB0 = 60 mg/L; pH neutral; T = 20 °C, UV-A = 40 W/m2
Immersion Reactor, Ø = 76 mm
[11]
TiO2/SolarMethylene Blue, Dichloroacetic acid,
4-Chlorophenol
[catalyst] = 0.2, 0.25, 0.3, 0.35 g/L.Optimal photocatalyst loading 0.25 g/L.
99% MB degradation at 8000 J/m2.
[MB]0 = 10 ppm, flow rate = 24 L/min, pH = natural (7.45). Solar Pilot-scale Offset Multi Tubular Photoreactor (OMTP), Ø = 32 mm[12]
1% Mg-ZnO-Al2O3/UV-A/BCaffeine[catalyst] = 0.1–1.5 g/LOptimal photocatalyst loading 0.3 g/L (1% Mg-ZnO-Al2O3) Caffeine degradation was 98.9%[Caffeine] = 20 mg/L. Cylindrical Pyrex immersion photoreactor (2 L). UV Hg lamp (400 W). T = 25 °C[13]
TiO2/UV-ADiclofenac (DIC)[catalyst] = 0.1–2 g/Lkapp, (0.35 min−1) was optimal at a mass of catalyst of 1.0 g/L[DIC]0 = 8 mg/L. T = 293 K, pH = 6.
800 mL glass immersion photoreactor (Ø = 7.5 cm) TQ 150 mp Hg lamp (λexc < 366 nm)
[16]
TiO2/UVCefotaxime[catalyst] = 1.0–2.5 g/L≈84.2% of Cefotaxime removal
optimized at 2.3 g/L of TiO2
Sunlight sim. Xe lamp (300–800 nm) 250 W/m2
[Cefotaxime] = 20 mg/L, T = 35 °C
[15]
ZnO/UVand around 1.45 g L−1 of ZnO.
TiO2/UV-LEDIbuprofen (municipal and pharmaceutical spiked MWW)[catalyst] = 0.5–4 g/L100% removal of IBU and 55% removal of DOC. kapp, (0.024 min−1) was optimal at 2.5 g/LLab-scale photoreactor: 10 W UVhigh LEDs (λmax = 382 nm); V = 250 mL, IBUP (up to 213 mg/L)[14]
Na2S2O8/TiO2/SolarMixture of 8 pesticides in agro-phitosanitary wastewater[catalyst] = 100 to 500 mg/LThe degradation rate increases up to 300 mg/L of catalyst loading[Pesticides]: 0.21 mg/L (hexythiazox) to 5.97 mg/L (thiamethoxam) CPC photoreactor, Ø 14.6 cm, V = 180 L (75 L illuminate V)[17]
PS/Cu0-Cu2O/UVAsulfamerazine[catalyst] = 0.06 to 1 g/LSMZ removal increases to 0.2 g/L[SMZ]0 = 50 mg/L; [PS]0 = 0.8 g/L, λmax = 382 nm, initial; pH = 7, 25 °C; photo-reactor with Hg lamp (800 W)[18]
g-C3N4/PMS/Vis
system
Acid Orange 7 (AO7)[catalyst] = 0.05 to 1.2 g/LThe degradation rate increased with catalyst load to 0.8 g/L500 W xenon lamp, [PMS] = 0.4 g/L, [AO7] = 20 mg/L, T = 25 °C[19]
UV/TiO2MeOHRadiation field was simulated.
[TiO2] = 0.005–5 g/L
Maximum at 0.2 g/L
Radiative model was confirmed with MeOH oxidation experiments
Differential photoreactor (ODPR). V = 3.2 mL, quartz cell (Hellma QS-130), optical path = 1 cm; 36 UV-A LEDs (365 nm, Rad flux = 410 mW at 700 mA)[20]
P25, P25/20 and P90 (TiO2)/UVPhenol (Model)Radiation field was simulated.
[TiO2] = 0.1–1.5 g/L
P25 and P90 optimum catalyst load (0.25–0.50 g/L) was 2 times P25/20 (∼0.7–1.0 g/L)
The kinetic model was successfully validated by experimental data (phenol oxidation)
1L Pyrex slurry photoreactor (Ø = 76 mm), 15 W × 6 Black Light Blue lamps(15W) [phenol]0 = 50 mg/L, pH0 = 6.0, irradiance = 38.4 W/m2[21,22]
TiO2, Ag-TiO2, goethite/UV–Vis2-hydroxybenzoic acid (2-HBA)Initial rate of photon absorption
(IRPA) was correlated to optimum catalyst
Concentration
[TiO2] = 0.1–2 g/L
The apparent optical thickness: τapp = 4.1–4.4 provides optimum catalyst and reactor performance.
Intrinsic kinetic parameters of 2-HBA photocatalytic oxidation were determined.
Flat plane photo-reactor (thickness
L = 1 cm) or annular reactor (Ø int = 0.054 m), cylindrical lamp mounted axially
[2-HBA] = 0.2 mmol/dm3; T = 22; pH = 4.0
UVA to natural light (UVA up to 89.4 W/m2
[23,24]
Fe2+/H2O2/UV–Vis5-fluorouracil[Fe2+] = 0–100 mg/LPerformance increased to a ferric ion concentration of 4.5 mg/L
At higher concentrations, the degradation rate increases marginally
double-walled Pyrex glass reactor, thermostated in a solar with a
xenon lamp (1.5 kW, 500 W/m2)
100 mL of 5-FU solution (10 mg/L); pH = 3; H2O2 = 0–90 mg/L
[25]
Fe2+/H2O2/UV-BSourwater from petroleum refineries[FeSO4] = 0.13–0.4 g/LDOC removal was optimised with the highest amount of iron.2 reactors operating in continuous mode. Fenton (400 mL) and Photo-Fenton (1600 mL), with UV-B lamp (15 W)
[COD] = 850–1020 mg/L; [H2O2]0 = 4 g/L, [FeSO4]0 = 0.1–0.4 g/L.
[27]
Fe2+/H2O2/UVApyrimethanil[Fe2+] = 8, 20 and 32 mg/LAt 20 mg/L, the treatment always improved with irradiance (process was photo-limited). At 32 mg/L, the excess of iron was counter-productive.Lab-scale raceway photo-reactor in a SolarBox equipped with Xenon lamp (300–800 nm)
[H2O2] = 35 mM, pH = 2.8
[28]

2.2. pH

In heterogeneous photocatalysis, pollutant–photocatalyst interactions are directly linked with the charge of photocatalyst particles, its state of aggregation, and the speciation of pollutants; thus, photocatalytical performance is governed by pH modifications. For example, the point of zero charge (PZC) in TiO2 is usually in the range between 5.6 and 6.8 [29]; thus, when the pH is below the point of zero charge (pH < pHpzc), the catalytic surface is positively charged, while when the pH of the solution is higher (pH > pHpzc), the TiO2 surface becomes negatively charged (Equations (2) and (3)):
-Ti-OH + H+ ⇄ -TiOH2+
-Ti-OH + OH- ⇄ -TiO + H2O
Therefore, when possible, pH should be adjusted to: (i) avoid equal charges between catalyst and adsorbate, (ii) ensure a pH far from PZC, limiting particle aggregation, and (iii) drive the oxidation pathway to avoid highly toxic by-product formation. Many examples of these strategies are collected in Table 2. Seid and co-workers [30] studied the effect of pH in the treatment of several nitrosamines (nizatidine, trimebutine, and metoclopramide), finding that working at an initial pH ≥ 5.6 reduced by half the formation of carcinogenic nitrosamine by-products. For their part, Elhalil et al. [13] found that the photocatalytic degradation of caffeine using 1% Mg-ZnO-Al2O3 as the photocatalyst was significantly enhanced operating at pH above PZC, thus favouring the adsorption of the protonated caffeine molecule (pKa = 10.4) onto the negatively charged catalyst surface. Similarly, the importance of PZC identification was revealed when different TiO2 was tested during methylene blue degradation [31]; therefore, negatively charged TiO2 surfaces with TiO2 NP prepared at pH 7.0–10 clearly improved process efficacy favouring interaction with the cationic dye. Carbajo et al. [32] also analysed the effect of the chemical nature of different substrates on the degradation mechanism and observed that at pH 2.7, the interaction between titania catalysts (positively charged) and the dichloroacetate anion CHCl2COO (pKa = 1.26) favoured DCA photodegradation by direct attack of photogenerated holes (h+), while on the contrary, indirect attack OH appears to govern the removal of phenol (pKa = 9.9) at natural pH.
UV/Fe/H2O2 systems should usually operate in a narrow pH range (2.8–3.0) to optimize HO production [33]. At higher pH, catalyst precipitation occurs as iron hydroxide, while the consumption of HO radicals by protons is enhanced at pH < 2.5 according to Equation (4):
OH + H+ + e → H2O
For this reason, many works devoted to the treatment of different pollutants such as antineoplastic agents and cytostatics [34,35], antibiotics [36] or industrial wastewater [37,38] have chosen an acidic pH close to 3 as optimal conditions. Nonetheless, UV/Fe/H2O2 feasibility is severely limited by acid/base addition, which implies: (i) higher operational costs due to reagent’s consumption, (ii) more complex operation due to the requirement of a neutralization step prior to discharge, and (iii) the increases in conductivity in the final effluent [39].
Among all the strategies for the intensification of the UV//Fe/H2O2 process, one of the most effective is the use of iron complexes to increase the phototonic efficiency and maintain iron in solution, even at circumneutral pH. In this regard, iron–organic complexes (Fe3+-L) can maintain iron in solution at much higher concentrations at higher pH, and light can reduce Fe3+ to Fe2+ to form organic radicals (see Equation (5)), which can then participate in the formation of reactive radicals that favour pollutant degradation [40]:
Fe3+-L + UV → Fe2+ + L
Oxalic acid and citric are probably the most investigated iron ligands, as both present high quantum efficiencies and low toxicity [41]. However, these chelating agents leave moderately acidic conditions in the effluent; thus, other alternatives such as ethylenediamine-N,N’-disuccinic acid (EDDS) have emerged as a promising alternative. In this regard, Silva et al. [42] assessed the performance of photo-Fenton at neutral pH in the presence of different organic iron complexes using hydrogen peroxide or persulfate as oxidants for naproxen degradation. As a main conclusion, the best results were observed in the presence of Fe/EDDS (1:1), although the Fe-citrate complex with H2O2 was the most cost-effective.
Heterogeneous photo-Fenton can also be considered as a solution to avoid acidic conditions, and in this regard, a wide range of materials including iron oxides, carbon, clays, and perovskites have been satisfactorily employed at neutral conditions. Examples include the treatment of tetracycline at pH0 = 6 with ZnFe2O4 [43], the employment of Fe-g-C3N4/graphitized mesoporous carbon composite as an effective Fenton-like catalyst to treat Acid Red 73 in a wide pH range [44] or the employment of metallurgical slag as a Fenton-type photocatalyst for the degradation of diclofenac at pH 7 [45]. Obviously, working with heterogeneous systems is always a tricky situation, as several factors must be considered, i.e., mass transfer limitations, light penetration, catalyst stability, lower reaction rates, catalyst separation, etc.
Working at circumneutral pH can also be feasible using significantly low iron doses, even with natural iron present in wastewater, as the proposal of Buitrago et al. [46], who demonstrated that low amounts of iron, such as those typically found in natural surface or well water, are sufficient to remove amoxicillin operating the process at the initial pH ~ 7.0. Similarly, De la Cruz et al. [47], achieved removals of over 80% for 22 micropollutants in an effluent from a MWTP using Fe3+ concentration (1.6 mg·L−1) working at natural pH (unmodified pH remained between 6–7).
Table 2. Intensification of UV-AOPs by pH optimisation.
Table 2. Intensification of UV-AOPs by pH optimisation.
Photocatalytical SystemTarget
Pollutant
pH ConditionsRemarksExperimental RemarksRef.
1% Mg-ZnO-Al2O3/UV-A/BCaffeinepH = 3.5, 4.5, 9.5Photocatalytic activity was enhanced at pH of 9.5 and dramatically decreased at pH of 3.5
At pH > 8.41 (surface negatively charged), favours cationic adsorption
[Caffeine] = 20 mg/L. Cylindrical Pyrex immersion photoreactor (2 L). UV Hg lamp (400 W).
T = 25 °C
[13]
Immobilized TiO2/UVANitrosamines in MWTP, river or eutrophic matricespH = 3.0, 5.5, 7.0, 9.5Optimum pH highly dependent on the proportion and speciation of intermediates during oxidation of each nitrosamineUVA photocatalytic reactor (Blacklight λ = 315–400 nm) = 0.67 mW/cm2; T = 22 °C[30]
TiO2 NPs/UVAMethylene blueSynthesis pH = 1.6, 7.0 and 10Synthesis pH determined pHPZC photocatalyst
Optimum degradation (97%, k = 0.018 min−1) was achieved with TiO2 NPs prepared at pH 10
1 L photoreactor with 6W Lamp (365 nm)
The cell was filled with 0.6 L of 10 mg/L of MB and 100 mg/L of the photocatalyst; T = 25 °C
[31]
TiO2/SolarPhenol, dichloroacetic acid, pyrimethanilNatural pHAt pH 2.7, titania (positively charged) and CHCl2COO (pKa = 1.26) interaction favoured direct DCA degradation. Conversely, indirect ∙OH attack govern phenol removal (pKa = 9.9) at natural pHCPC (Compound Parabolic Collectors) tubes (3.2 m2 irradiated area) under turbulent flow conditions and solar light. VT = 35 L[32]
H2O2/Fe2+/UVAntibiotics (amoxicillin, ampicillin and cloxacillin)pH = 2.0, 2.5, 3.0, 3.5 and 4.Maximum degradation was achieved at pH 3600 mL Pyrex reactor equipped with a UV lamp (6 W) emitting at 365 nm.
[AMX, AMP, CLX]0 = ~100 mg/L, [COD] = 520 mg/L; [H2O2] = 16.25 mM
[36]
H2O2 or S2O82−/UV/Fe-complex (NTA, FeEDTA or FeCit, or FeOx)Naproxen in a wastewater effluent collected in a MWWTpH naturalPhoto-Fenton at neutral pH was efficient for naproxen degradation in the presence of all iron complexesVis Xe high-intensity discharge lamp (X-HID)
[NAP] = 1 μmol/L; [H2O2] = 16.3 mmol/L or [S2O82−] = 4.9 mmol;/Ligand [Fe3+] = 21.4 μmol/L, pH = 7.5 (natural pH).
[42]
ZnFe2O4/UV/H2O2Orange IIInitial at pH0 = 3, 6, 7 and 9Decolourization efficiency increased slightly with pH, optimum at pH = 6Xe high intensity discharge lamp (X-HID) (454 nm and 150 W) 50 mL glass beaker
[Orange II] = 100 mg/L, [H2O2] = 5 mM, [catalyst] = 0.5 g/L, T = 20 °C, pH0 = 6)
[43]
Metallurgical slag as a Fenton-type photocatalystDiclofenacNatural pH = 7Complete depletion and a partial mineralization were achieved with the COB/H2O2/sunlight system at pH 7[Diclofenac] = 500 mg/L, Sunlight simulator with Xe arc lamp (500 W/m2)
pH = 7, [H2O2]0 = 180 mg/L, 1:18 mass ratio of Fe/H2O2.
[45]
Fe3+/H2O2/UVDiuron and amoxicillinPollutants exhibited a strong degradation keeping the circumneutral pHPresence of anions (HCO32−, HCO3-, humic acids…) leads to photo-chemical reactions (dissolved ferric–humic acid complexes, colloidal iron…) at circumneutral pHSolar simulator (300 W/m2) [amoxicillin] = 10 mg/L
humic acids (HA) = 2.0 mg/L;
[carbonates] = 100 mg/L; [Fe3+] = 0.3 mg/L, [H2O2] = 15.2 mg/L, pH0 = 7.0
[46]
UV/H2O2 and neutral photo-Fenton22 micropollutants (including 15 pharmaceuticals) in MWTPNatural pHFe addition to the reactor did not improve the process; degradation was higher using uniquely the Fe present in water (1.6 mg/L)Continuous operation
Reactor 5 LP Hg lamps (254 nm, 150 W each); V = 37 L
[47]

2.3. Temperature

In general terms, because of the relatively low activation energy of photocatalytic reactions in contrast to other conventional reactions, the effect of temperature on reaction rate is not so significant. However, certain aspects must be considered, and many studies have analysed the effect of temperature for the optimisation of operating conditions in UV-AOPs (see Table 3). When temperatures are too high (above 80 °C), the adsorption capacity of the solid is reduced and the oxygen solubility in the solution decreases, while electron–hole recombination is preferred [10]. On the contrary, at low temperatures, desorption becomes the limiting step.
In any case, the temperature will increase the photodegradation within a certain range; thus, there is a certain margin for the boosting of heterogeneous photocatalytic processes by temperature. In this regard, Tambat and co-workers [48] studied Milling yellow photocatalytic degradation with a CeO2 catalyst; they observed that complete degradation was possible by increasing the temperature from 20 to 35 °C, while an only slightly increased degradation rate was observed heating up to 60 °C. Lin and co-workers [49] found similar behaviour in the decolourization efficiency of Red MX-5B dye by UV-A with a TiO2/Ag catalyst, where higher reaction rates were achieved, increasing the operating temperature to 40 °C, although at 50 °C, the process efficiency decreased slightly due to the acceleration of electron–hole recombination. Chen and Hsu [50] investigated the effects of reaction temperature on the photocatalytic activity of TiO2 with cocatalysts of Pd and Cu, concluding that when the reaction temperature is higher than 70 °C, the recombination of charge carriers will increase. For its part, the temperature on nitrate photoreduction with ilmenite was studied in the range of 20–80 °C by Silveira and co-workers [51]; in this case, the authors observed increases in reaction kinetics throughout the temperature range. Increasing temperature diminishes oxygen solubility, which could make photoreduction more feasible, avoiding the need to use inert gas flow to remove O2 in solution.
Jonathan Z. Bloh [52] argues that in UV/TiO2 systems, the temperature dependence becomes apparent only at high light irradiation intensities, but that under these conditions, the kinetic bottleneck at the particle occurs due to mass transfer and catalysis surface/or limitations. Thus, effective intensification towards the industrial implementation of UV/TiO2 at significantly high temperature could only take place by optimization of the photophysical properties of photo-absorber materials (i.e., avoid mass transfer limitations and optimizing substrate surface). However, to this day, in heterogeneous photocatalysis, temperatures of up to 50–80 °C can be considered the ideal temperature for photocatalytic optimisation [10,50].
For its part, in photo-Fenton and UV-Fenton-like processes, temperature plays an important role on reaction rate (see Table 3); thus, appropriate temperature selection may be used for intensification purposes [53]. Many works have reported the increase in reaction rate by temperature, including several applications such as industrial textile wastewater treatment [54,55], nitrophenol removal [56], alachlor degradation [57] or phenolic effluent treatment by heterogeneous photo-Fenton with a Fe2O3/Al2O3 catalyst [58]. Additionally, moderately high temperatures (up 65 °C) may contribute to synergistic treatment of industrial beverage effluent by the photo-Fenton process intensified by activation of persulfate [59].
Few authors have also observed adverse effects when the temperature increases above a certain value. In this regard, Zapata and co-workers [60] assessed the influence of temperature on photo-Fenton degradation to treat commercial pesticides, while increasing the temperature from 25 to 42 °C required a substantial extension of mineralisation (up to 70%) at shorter irradiation times with more efficient use of hydrogen peroxide, a dramatic decline in mineralisation of DOC was observed at 50 °C. The authors attributed this behaviour to a significant loss of iron by precipitation in the studied conditions.
In any case, a relatively limited number of papers have explored the effect of temperature beyond 50 °C, and it seems that further exploration of the intensification by temperature in photo-Fenton processes could be worthwhile. Thus, Carbajo and colleagues [61] studied the possibility of intensifying homogeneous photo-Fenton by increasing the temperature (up to 90 °C) to treat a real leachate effluent of landfill using the stoichiometric amount of H2O2 (2.12 g/g COD) and 10 mg·L−1 of Fe2+. The required irradiation time to achieve maximum TOC and COD removals (around 80%) was reduced from 180 to 45 min by increasing the temperature from 50 to 90 °C, and the irradiation efficiency increased four-fold within this temperature range. Furthermore, according to the authors, operating costs at high temperatures more than offset the costs due to wastewater heating; thus, working at 90 °C results in a three-fold reduction of the costs observed at 50 °C.

2.4. Oxidants

In UV/Fe/H2O2 processes, increasing the concentration of H2O2 concentration usually led to an increase in reaction rate. Although excess H2O2 may marginally increase the reaction rate and worsen the efficiency of H2O2 consumption, the last can be attributed to scavenging reactions where H2O2 competes for hydroxyl radicals, with organic matter producing less powerful radicals (see Equation (6)):
H2O2 + HO → HO2 + Fe3+
Working with poor hydrogen peroxide conditions may also be inappropriate, as it limits the degree of mineralisation and slows down the reaction rate. Therefore, as can be seen in Table 4, many authors have tried to optimise the use of the amount of oxidant to intensify the UV-AOPs processes.
Usually, the first approach to increase the efficiency of a particular process consists of testing the theoretical stoichiometric amount of H2O2 required to completely remove COD or TOC, which are found to be appropriate conditions in some cases [62], although many authors have found optimal conditions working below the stoichiometric conditions to minimise H2O2 consumption. For example, in complete degradation of persistent antidepressant sertraline in aqueous solution by solar photo-Fenton, TOC removal was achieved up to 90% with 40% of the stoichiometric amount of H2O2 [63]. In addition, substoichiometric amounts of H2O2 can be enough to increase the biodegradability of wastewater containing recalcitrant or inhibitory pollutants when photo-Fenton is used as a pretreatment before a biological process.
More typically, an over-stochiometric H2O2 dosage is expected when the characteristics of the wastewaters are required, for example, when parallel reactions and inefficiencies occur in the process due to typical ions present in real wastewaters such as Cl or CO32− which react with OH radicals to give less powerful radicals (Cl, CO3, …) [64,65,66]. Some examples are found in optimisation of the treatment of landfill leachate by photo-Fenton [67], where the use of stoichiometric excess H2O2 (up to 4, 5 times) was required to achieve a higher degree of mineralisation of acetylsalicylic acid, decreasing energy-related costs [68]. Similar assumptions have been reported for sulfonamide antibiotics derived from sulfanilamide [69], the degradation of antibiotic mixtures (amoxicillin, ampicillin, and cloxacillin) in aqueous solution, and the treatment of reverse osmosis retentate from a paper mill [64].
Optimization of UV/Fe/H2O2 can also be carried out by H2O2 dosing. In this regard, the sequential addition avoids high instantaneous concentrations of H2O2, minimising unproductive reactions (see Equation (5)) and increasing its consumption efficiency. In this context, the sequential addition of H2O2 along the reaction has been reported to improve mineralisation in several works [70,71,72]. Furthermore, continuous automatic dosage has also been studied with positive results [17], and recent work focusses on finding dosage models and methodologies to optimise hydrogen use [73] or employing (Yu et al., 2020) [68] indirect measurement of H2O2, such as evolution of O2 concentration, for continuous oxidant monitoring dosage [74]. In conclusion, the dose of H2O2 must be carefully balanced for each type of wastewater, the dose of iron, and the goal of decontamination in order to intensify the process, i.e., improve kinetics and maintain the best possible efficient oxidant consumption, which is by far the largest operational cost in solar photo-Fenton [75].
UV/Fe processes may also be intensified by the combination of or the use of alternate oxidants. A good example of this is the work of Devi et al. [76], where zero-valent metallic iron (Fe0) was employed in photo-Fenton methyl violet degradation comparing ozone, peroxymonosulfate (PMS) and peroxydisulfate (PDS) with classical hydrogen peroxide (HP). PMS was found to be a better oxidant compared to H2O2 and PDS under higher pH conditions. For its part, Silva et al. [42] concluded that naproxen removal in distilled water was faster in the presence of H2O2 compared to S2O82−; they believed that better performance of S2O82− was observed in sewage treatment plant effluent.
O2 acts as a low-cost acceptor for conduction band photogenerated e and is the most common oxidant in UV/TiO2 systems, as it can be adsorbed on titania from the liquid where it is dissolved following Henry’s law by simple aeration systems. However, the process of optimization of UV/TiO2 may include the use of alternative electron acceptors in the reaction to increase the number of trapped e inhibiting recombinations that form more powerful radicals [77]. For example, the introduction of persulfate into the TiO2 photocatalytic system can increase the separation of electron–hole pairs simultaneously generating sulfate radicals (SO4•−), characterised by high redox potential and longer half-life times [78]. Many works have explored this strategy, including elimination of sulfaclozine from water with SO4•− radicals [79], the degradation of ibuprofen by UVA-LED/TiO2/persulfate processes [80] or the visible-light activation of persulfate by TiO2/g-C3N4 photocatalyst in the degradation of micropollutants [81]. H2O2 has also been used satisfactorily as a powerful oxidising agent to inhibit e/h+ recombination. Good examples of this strategy are the dosage of H2O2 during the photocatalytic degradation of ethidium bromide with iron-doped TiO2 catalysts, where the authors observed a significant increase in the mineralisation of ethidium bromide due to the minimisation of self-scavenging reactions [82], or the heterogeneous photocatalytic degradation of pharmaceuticals in synthetic and real matrices using a tube-in-tube membrane reactor with radial addition of H2O2 [83].
Table 3. Intensification of UV-AOPs by temperature optimisation.
Table 3. Intensification of UV-AOPs by temperature optimisation.
Photocatalytical SystemTarget
Pollutant
Temperature
Conditions
RemarksExperimental RemarksRef.
TiO2/AgProcion red MX-5BR.T. to 50 °COperating temperature increased decolourization efficiency from R.T. to 40 °C but decreased at 50 °C as e/h+ recombination acceleratesPhotoreactor VT = 0.5 L; Lamp: 10-W UVA (0.7 μW/cm2); [MX-5B] = 30 ppm[49]
TiO2, Pd/TiO2 or Cu/TiO2Methylene blue0 to 70 °CAt 0–50 °C, TiO2 and Pd/TiO2 activity increased with temperature; at 70 °C, rate dropped slightly or became less effective due to recombination rate increaseUVC lamps (λ = 254 nm), TUV PL-L 18 W.
VT = 20 mL; [MB] = 10 mg/L
[50]
FeTiO3NO3 in saline waterrange of 20–80 °C73% total nitrogen reduction was reached at 420′
An increase in the temperature enhanced reaction kinetics. At high T, N2 bubbling to maintain inert conditions is avoided (lowering O2 solubility)
Set-up: Magnetically stirred glass jacketed batch reactor (VT = 700 mL). Lamp: 150 W M.P. Hg lamp (30 W/cm2)
Working at [C2O42−] = 180 mg/L, [FeTiO3] = 450 mg/L; [HCl] = 13 mM,)
[51]
UV–Vis/H2O2/Fe(II)Textile effluents25 to 70 °CTemperatures above 25 °C and up to 70 °C show a beneficial effect on organic load reductionLamps: 6 W Black-light and 250 W Xe and Solar light.[55]
Solar/H2O2/Fe(II)Alachlor20 to 50 °CAt best operating conditions (maximal iron concentration 2.6 mM, maximal temperature 70 °C) an increase reaction rate 5-fold by raising temperature from 20 to 50 °CPilot-plant CPC sunlight operated in batch mode. Collector (CF = 1): 20 Pyrex tubes (Øin = 46.4 mm). Acollector = 4.16 m2, Vi = 44.6 L[58]
Solar/H2O2/Fe(II)commercial pesticide mixture25 to 50 °CPhoto-Fenton efficiency gradually rose with temperature; nevertheless, at 50 °C, efficiency decreasesPilot-plant CPC with sunlight operated in batch mode. Collector (CF = 1): (Øin = 50.0 mm). Acollector = 1.04 m2 20 Pyrex tubes; Vi = 44.6 L
[DOC] = 200 mg/L (40 mg/L of each commercial pesticide); pH = 2.7–2.9; [H2O2] = 100 to 300 mg/L
[61]
UV/H2O2/Fe(II)Phenolic and landfill leachate wastewater25 to 90 °CTime to achieve maximum TOC and COD removals (80%) was reduced from 180 to 45 min from 50 to 90 °C. Irradiation efficiency increased 4-fold within this rangeimmersion-wall batch jacketed 1 L photoreactor; Lamp: 150 W MP Hg. pH = 2.7–2.9; [H2O2] = 100 to 300 mg/L; Fe2+ = 10 ppm[62]
Table 4. UV-AOPs intensification by oxidant usage optimization.
Table 4. UV-AOPs intensification by oxidant usage optimization.
Photocatalytical SystemTarget
Pollutant
Oxidant Type and ConditionsRemarksExperimental RemarksRef.
UV–Vis/H2O2/Fe(II)mixture of 6 emerging pollutantsStoichiometric H2O2 to mineralize mixture (146 mg/L)Data show that photo-Fenton in high-salinity wastewater at pH = 2.8 and pH = 5.0 was capable to remove all pollutants in 1 h50 W xenon lamp on open glass reactor; borosilicate glass
[Emerging pollutants] = 5 mg·L−1 each; [Fe] = 5 mg·L−1
[63]
UV–Vis/H2O2/Fe(II)sertraline[H2O2] = 10–100% Sub-stoichiometric amountTOC removal up to 90% was achieved at a hydrogen peroxide dose as low as 40% of the stoichiometric amount for mineralizationLamp: Xenon 550 W m−2 (300 to 800 nm).
Vr = 500 mL; [Sertraline] = 50 mgL−1. The [Fe2+] = 1–10 mgL−1; [H2O2] = 10–100% stoich amount
[66]
UV–Vis/H2O2/Fe(II)Acetylsalicylic acid[H2O2] = Up to 9-fold the stoichiometric AmountMineralization around 90% is reached at 10 min with 4.5-fold excess of H2O22 Parabolic tubular modules in series, Lamp: Black-light UVA (40 W)
[Fe2+] = 1.5 mM; [H2O2] = 45 Mm
[Acetylsalicylic acid]0 = 100 ppm
[69]
UV–Vis/H2O2/Fe(II)Orange II (OII)Continuous addition of H2O2H2O2 continuous dosage optimize photocatalytic efficiency (scavenger effect is minimized);
100% decolouration (95% TOC removal) with continuous addition of peroxide
Solar reactor (50 L); Ai = 2 m2 (CF = 1); 16 borosilicate-glass tubes (OD = 32 mm)
Fe(II) = 2 ppm; Orange II = 20 ppm,
[72]
H2O2 or S2O82−/UV/
Fe-complex
(NTA, FeEDTA or FeCit, or FeOx)
Naproxen in a sewage effluent collected at a MWWTH2O2 compared to S2O82−H2O2 best performed in ultrapure water, while S2O82− best performed with real WWLamp: Xe high int. discharge
[NAP] = 1 μmol/L; [H2O2] = 16.3 mmol/L or [S2O82−] = 4.9 mmol; Ligand [Fe3+] = 21.4 μmol/L, pH = 7.5 (natural pH).
[42]
TiO2/g-C3N4AcetaminophenPS dosage increases from 0.5 mM to 2 mMThe addition of PS greatly improved the degradation efficiency (5 mg/L AAP almost degraded; at 30 min; k = 0.061 min−1, XTOC = 82.5%)Lamp: Xe (300 W, 400 nm cutoff filter)
[TiO2/g-C3N4] = 500 mg/L, [AAP] = 5 mg/L
[PS] = up to 2 mM
[82]
TiO2/Fe-TiO2Ethidium bromide[H2O2] = 80–160 mg/L, 1–2-fold stoichiom, and continuous dosification was evaluated196 mg/L H2O2 addition was optimized throughout;
several dosages maintaining H2O2/TOC ratio; performance was maximized, raising 84% of TOC conversion
Pyrex photoreactor with a Hg
MP lamp (500 W); Vr = 1 L, [EtBr] = 20 mg/L, [Fe-TiO2] = 500 mg/L,
pHo = 3, [H2O2] Total = 196 mg/L
[83]

3. Catalysts Engineering

As part of photo-assisted process intensification, a solid/heterogeneous photocatalyst is commonly required to perform the oxidative treatment of polluted water matrices.
In an archetypical photocatalytic process, the semiconductor par excellence is the titania (TiO2) due to its properties (good stability and relevant optical and electronic properties). However, its employment has been reduced due to the necessity of UV light for excitation.
In this sense, in this part of the review, the catalysts devoted to act with a double role, thus named bifunctional catalysts, will be considered.
In recent years, many efforts have been made for the development of photocatalytic materials, a key piece for intensifying the entire process. Overall, optimisation has been carried out in two preferred directions, one mainly affecting the physical limitations of the reaction and the other affecting the overall yield of the treatment, also related to the chemical limitations. Until now, the main approaches performed for the intensification of the photocatalysts are globally divided into two elements (Figure 3):
(a)
Photocatalyst design is orientated to reduce the limitations in mass and photon transfer. This strategy can be achieved via three steps as follows:
  • Improving photocatalyst activation and preventing deactivation. This fact is related to the shift of the absorption edge from the ultraviolet to the visible range. This item has been extensively studied; thus, it will not be developed as a separate alternative in this review unless combined with other sorts of intensifications.
  • Promotion of the adsorption of reagent onto the catalyst surface: the initial step of a Langmuir–Hinshelwood model.
  • Promotion of the desorption of reactions products from the catalyst: The last step of a Langmuir–Hinshelwood model.
(b)
Design of bifunctional catalysts favouring the increase in oxidant species generation yield (mainly HOx·). In the same way, two steps have been performed for this purpose:
  • The combination of several single processes without oxidant addition.
  • The extra-addition of oxidant agent.
Those strategies are further detailed including the main approaches found in the bibliography for each one of them.

3.1. Design Oriented to Reduce the Physical Limitations

In this part, the mass and photon transfer limitations are meant to be overcome. As mentioned above, the photon absorption strategy will not be developed here due to the large number of works dealing with the visible-assisted photocatalysts existing in the literature. In terms of mass transfer, the issue proceeds with the obtention of photocatalysts characterised by a higher adsorption capacity. This combination favours the initial pre-stage of a Langmuir–Hinshelwood model, typically established in photo-assisted processes. Among the strategies chosen to increase the initial adsorption of the pollutants, the development of mesoporous materials has been elected as the preferred one, not only due to the diffusion of pollutants within the pores in some cases, but also associated with the anchorage of the active phase in the pores of a support, which leads to an inhibition of pollutant diffusion in some cases and therefore to improved photoactivity [84,85,86,87,88,89]. In addition, we can find works dealing with a direct increase in the surface of the support or works in which the surface has been chemically modified to promote this initial stage [90]. Some work has been reported following these approaches in which a true synergistic effect was demonstrated (Table 5).
Finally, the last and less used strategy consists of chemical modification of the material based on the Bronsted and Lewis acid sites to promote the catalyst–substrate interaction, as was obtained with the SO42−/Fe2−xZrxO3 catalyst for the photo-Fenton process. The conditions and processes involved are given in detail in Figure 4.
In one case, the active phases of the catalysts were immobilised onto surfaces established by a certain porosity. The authors achieved catalytic activities towards pollutant depletion that were higher than those in reactions in which the catalyst was nonsupported. The improvement was basically attributed to two effects: (i) an increase in the amount of adsorption itself and (ii) an enhancement in the transfer of photocharges. Several works have used LaFeO3 as active phase and zeolite [88], silica [87] and resin [91] materials as supported materials (Table 5). In the second case, the mesoporosity was created inside the photocatalyst itself, leading to the configuration of binary materials, e.g., heterojunction. In these cases, in addition to a favoured adsorptive attraction, a substantial increase in oxidation rates was observed. The development of the B/Bi2WO6, Au/TiO2, Fe2O3/TiO2 and Ga2O3/TiO2 mesopores follows with the improvement in charge transfer and the change of the absorption edge towards visible and infrared regions (Figure 3).
In terms of optimisation via the promotion of the product desorption from catalysts, there is evidence that the joint employment of AOP-ultrasound can benefit this step of the process, letting the active phase again be available to the new reactants. However, this combination has not been developed specifically to overcome this limitation. For that, the use of ultrasound will be explained in the following sections of this review.
Table 5. Catalyst used for combining adsorption and photo-assisted processes.
Table 5. Catalyst used for combining adsorption and photo-assisted processes.
CatalystProcesses
Involved
Light SpectraPollutantConversionsAdvantagesDisadvantagesRef.
B/Bi2WO6Adsorption/photocatalysisSolarRhodamine BB/Bi2WO6 = 8.8 k Bi2WO6
XRhB = 100% (180 min)
Mesoporous favours adsorption. B presence creates higher pore volume related to mesopores
B acts also as electron trap
No TOC[84]
LaFeO3/ZeoliteAdsorption/photo-FentonVisibleRhodamine B Higher adsorption and active sitesNo evaluation of TOC parameter[88]
LaFeO3/SilicaAdsorption/photo-Fenton Rhodamine B [87]
Mesoporous Au/TiO2Adsorption/photocatalysisVisibleAO7 (dye) [89]
SO42−/Fe2−xZrxO3Adsorption/photo-FentonVisible [90]
LaFeO3/ResinAdsorption/photo-Fenton/photocatalysisSolarCaffeine
(CECs)
80% removal caff in 3 h
60% TOC
Reusability until 6th cycleNot a complete mineralization[91]
Mesoporous Fe2O3-TiO2Adsorption/photo-Fenton/photocatalysisVisibleNorfloxacin antibiotic100% removal and 97% mineralization in 120 minGood reusability. New reactor designed with LED lightLow iron leached.[85]
Mesoporous Ga2O3-TiO2Adsorption/photocatalysisUVImazapyr pesticide98%removal in 180 min10 and 3 times more activity than Ga2O3 and UV100Loss of activity in 5 cycles[86]

3.2. Design of (Bifunctional) Catalysts Favouring the Increase in Oxidant Species Generation Yield (Mainly HOx)

This approach mainly focusses on the development of photoactive materials capable of demonstrating activity, leading to an increase in the generation of oxidising species and thus provoking higher reaction yields in terms of pollutant removal. In the literature, there exists numerous ways of classifying this part; nevertheless, all of them converge in the concept that the synergy is formed by a main process and another contribution that can be either a well-established process or the addition of an extra external oxidising agent.
The increase in the number of reactions devoted to the production of radicals and capable of depollating is the basis of this approach. There are diverse and varied combinations of techniques to promote radical generation: photocatalysis/photo-Fenton, photocatalysis/persulfate activation, photocatalysis/ozonation, or photocatalysis/ultrasound, etc. Among them, this review will focus on those processes in which the catalyst constitutes a key piece for the combination: microwave/photocatalysis, photo-Fenton/photocatalysis, and persulfate addition to photocatalysis.

3.3. Wave-Assisted Photocatalysis

Another approach for intensifying the role of a catalyst is using different kinds of waves. There have been two wave-types mainly reported that are characterised by a different nature and by a varied energetic level of them, and these are ultrasound and microwaves. In the case of ultrasound, the mechanical wave employed has an energy higher than 20 KHz, and in the case of microwaves, the electromagnetic waves are inside the range of 300 MHz to 300 GHz. Despite this important difference, the treatments are generally mentioned as a wave-irradiated process.
One of the first studies reporting the use of a heterogeneous photocatalyst, TiO2, for this dual process was carried out by the Gogate group [92]. The general basis consists of the creation of localised higher energy and uniform heating that leads to a reduction of the activation energy and bond cleavage of organic molecules. They studied the combination of several AOPs in addition to microwave implementation. The most active synergy resulted from the simultaneous application of microwave, photocatalysis, and H2O2 addition. Since microwave irradiation and photocatalysis act via a similar mechanism, their combination suggests a better performance in terms of efficiency. In this work, for the concrete case of microwave and photocatalysis, the reaction rate for the removal of pollutants increased from 6.2 × 10−3 to 3.88 × 10−3 min−1, meaning an improvement of 1.6 in terms of reactivity and passing from 15% to 67% of the oxidation percentage. In another work, a simple modification of a raw titania photocatalyst was developed by N doping to shift absorption spectra into the visible range [93]. Furthermore, titania was coupled to activated carbon and used for the removal of tetracycline antibiotics by a hybrid process [94]. A total synergetic effect was demonstrated with a pollutant removal of 93% and half the mineralisation of the effluent in 180 min of sonophotocatalytic reaction.
As an example of a ternary photocatalyst, CuO-TiO2/rGO in ultrasonic photocatalysis can be considered [95]. The gain in this case was 3.7 times. The catalyst was used for the removal of methyl orange dye under UV light with a 99% depletion of methyl orange in 90 min, but no TOC evaluation was performed. The last example of this combination deals with the use of a quaternary catalyst, Fe3O4/TiO2–N-GO for ultrasonic photocatalysis. The combination reports several advantages related to different effects. First, ultrasounds favour the catalyst dispersion and thus improve the mass transfer inside the reaction media. Second, ultrasound can generate extra HO due to a cavitation effect. Bubbles collapse, leading to high pressure and temperature conditions, provoking the breakdown of H2O or O2 molecules on oxidising radicals. These radicals can recombine and produce H2O2, which can be taken for a heterogeneous Fenton process. Thus, the Fe3O4/TiO2–N-GO catalyst allows one to take advantage of all the reasons mentioned above with efficiencies higher than 26% compared to the pure photocatalytic system [96]. Recently, another quaternary photocatalyst, N-Cu co-doped TiO2@CNTs, was developed and employed for the treatment of antibiotic-containing real pharmaceutical wastewater and under UV–visible light. In this case, total depletion of the pollutant was reached with great yields: 93% COD and 89% TOC [97]. The catalyst showed certain stability with a lifetime of more than five cycles of reaction. A full list of works can be found in Table 6.

3.4. Synergistic Effect: Photocatalysis/Photo-Fenton

Photocatalysis/photo-Fenton represents one of the first and most widely used combinations in AOP treatments. The reasons are that the combination provides the advantages of one process with respect to the drawbacks of the other. While photocatalysis allows for total mineralisation of the effluent as a final achievement, the Fenton process provides the drive-in reaction rate to be competitive with other nonadvanced processes. Furthermore, the combination provides a greater number of redox reactions that deal with the increase in the overall yield, not only due to the generation of a radical, but also associated with the capture of the photogenerated charges by H2O2 that leads to the inhibition of recombination of the charges, a highly requested issue for the enhancement of the photocatalyst activity.
A huge amount of new catalytic materials that increase the movement of charges have been developed in recent years, such as binary, doped, heterojunctions, or recently, network-substituted materials. The most representative photocatalysts and their reaction yields are shown in Table 7. As can be observed, by using this combination, higher depollution grades are obtained compared to the yields achieved by other hybrid processes. In all cases, removal percentages over 90% are reached for the main pollutant. In Table 5 are indicated the main catalysts that have been reported by their employment in the photocatalysis/photo-Fenton process. All of them are characterised by the presence of iron as the main active phase associated with the Fenton part of the process and by its implication as a visible light absorber for the photocatalysis part.
The preferred types of catalyst are heterojunction materials, probably because of the improved charge separation that enables higher reactivity. In this case, several binary and ternary junctions have been reported: FeVO4@BiOCl [98], LaFeO3/BiOBr [99], FeOOH/Bi2MoO6 [100], CQDs/FeOOH [101], TiO2/Graphene oxide/Fe3O4 [102] and Fe-Cu oxide/diamond [103]. Ilmenite is formed by two phases: FeTiO3 and rutile provoking a natural heterojunction ready to be used in this hybrid treatment [104]. As a second approach, the doped catalysts exist where graphene oxide remains as the main photocatalyst, and Fe2O3 and Fe3O4 are inserted into its network to activate H2O2 [105,106]. Recently, the last option used for the photocatalytic/Photo-Fenton process is the substitution of the network in the crystal structure, as in La1−xTixFeO3 [107,108] (Figure 5) and Zn1−1.5xFexS/g-C3N4 [109]. The complexity of the synthesis to control the percentage substitutions is the reason for the low number of works inside this approach.

3.5. Persulfate Addition to the Photo-Assisted Process

For the photo-assisted persulfate activation, single, binary, and ternary catalysts have been employed. Despite the substantial increase in mineralisation yield coming from the decomposition of persulfate into a hydroxyl radical and a sulfate anion, the strategy associated with the catalyst design also plays a key role in terms of process efficiency. In Table 8, the most relevant results taking place via catalyst are depicted [110].
For single-phase catalysts, two works have demonstrated an enhancement upon the activity. Zinc oxide and ilmenite (FeTiO3) mineral were used for the activation of the light of persulfate. In the first work, 92% TOC removal was achieved in 1000 min of irradiation under sunlight, while in the second, 96% in 180 min by using ultraviolet light. The main advantages were the improvement in the reaction rates and the final mineralisation degree, while the drawbacks were concerned with all persulfate-treated water and the presence of higher residual sulphate in the solution. In the case of Ilmenite FeTiO3, no leached iron was detected during the reaction time. When binary catalysts are used, the synergy is greatly increased in comparison to single materials. For example, TiO2/g-C3N4 achieved 13 times greater activity than in the absence of persulfate and Co-Bi2Fe4O9 more than 3 times compared to the doped catalyst. The last work involving a ternary material, Ag/AgBr/ZnFe2O4, obtained double reactivity towards the pollutant depletion with a value of 53% under visible light.
Table 7. Catalysts devoted to the combined photocatalytic-photo-Fenton processes.
Table 7. Catalysts devoted to the combined photocatalytic-photo-Fenton processes.
CatalystProcessesConditionsPollutantYieldAdvantagesDisadvantagesRef.
Fe2O3 doped-C3N4Photocatalysis-photo-FentonVisible lightDicamba pesticide LEDs lightNo TOC measured[106]
FeVO4@BiOClPhotocatalysis-photo-Fenton-sonophotocatalysisUV lightp-nitrophenol89% mineralization in 40 minAdditional OH· by the V5+/V4+ cycleStability decreased from the 6th cycle[98]
LaFeO3/BiOBrPhotocatalysis-photo-FentonSunlightRhodamine B99.6% removal RhB in 30 minKinetic constant rate is 21 times higher than LFOStable just until 4th cycle[99]
FeOOH/Bi2MoO6Photocatalysis-photo-FentonVisible lightPhenol100% removal phenol (3 h)Synergy: removal 1.54 higher than photocatalysis
1.33 higher than Fenton
O vacancies improved photocatalysis
After 5th cycle a step decrease in activity
Iron leached detected.
48% TOC removal
[100]
Carbon quantum dots/α-FeOOHPhotocatalysis-photo-FentonSunlighttetracycline94% removal in 60 minOxidation at different pH values;
Removal drastically higher than in separate processes
Less H2O2 consumption, but necessary for oxidation; stability decreases after 5th cycle[101]
TiO2-graphene oxide-Fe3O4Photocatalysis-photo-FentonVisible lightAmoxicillin antibiotic90% TOC pH = 3
50% TOC pH = 5 in 120 min
Magnetic recovery propertiesTOC degradation is kept constant until 5th run; leached iron detected in all runs (<1 mg/L)[102]
Fe-Cu oxide/diamondPhotocatalysis-photo-FentonVisible lightPhenol100% phenol removal in 120 min pH = 4Iron and copper cycle involved in Fenton reactionsNot good reusability; Expensive support[103]
Zn1−1.5xFexS/g-C3N4Photocatalysis-photo-FentonVisible lightp-nitrophenol96% removal and
55% TOC in 60 min
Incorporation of Fe in crystal lattice improves degradation ratesNot photocatalytic contribution;
Ow reusability of the catalysts
[109]
FeTiO3Photocatalysis-photo-FentonSolar light, visible lightPhenol and sulfonamides100% removal and 98% mineralizationSynergy between processes; low cost of catalyst.Small iron concentration leached[104,111,112]
FeTiO3Photocatalysis-photo-FentonUV–Vis; high temperatureReal hospital wastewater80% TOC in 300 minSynergy between processes; low cost of catalystSmall iron concentration leached[113]
La1−xTixFeO3Photocatalysis-photo-FentonUV, solar and visible light4-Cl-phenol100% and 100% mineralization in 120 minOne single-phase catalyst; the substitution lattice improved redox propertiesNo iron detected[107,108,114]
Graphene/Fe3O4Photocatalysis-photo-FentonUV lightMethyl orange99% removal of dyeSynergy with respect to Fe3O4Slight decrease in activity[105]
Table 8. Photocatalysts employed for persulfate activation.
Table 8. Photocatalysts employed for persulfate activation.
CatalystProcessesConditionsPollutantYieldAdvantagesDisadvantagesRef.
TiO2/g-C3N4PS/photocatalysisVis lightAcetaminophen100% removal in 30 min 86% TOC in 60 minPersulfate got 13 times activity than single photocatalystReduction of 5 percent of activity after 5 cycles[81]
ZnOPS/photocatalysisSunlightPesticides92% TOC in 1000 minImprovement reaction rateGeneration of big loads of sulphate in solution[115]
Ag/AgBr/
ZnFe2O4
PS/photocatalysisVisible lightCarbamazepine53% removal; double of activity with PS.LED light; magnetic separationWhen using H2O2 the Z-scheme was inhibited and a reduction of the degradation[116]
Co-doped Bi2Fe4O9PS/photocatalysisVisible lightLevofloxacin LED light; doped materials have 3.52 times higher than that non-doped;Iron and cobalt leaching[117]
IlmenitePS/photocatalysisUV lightAzo dye>95% of mineralizationimprovement reaction rate; no iron leachedGeneration of big loads of sulphate in solution[118]

4. Catalyst Immobilisation: Intensification of Reactor Design

Some of the main previous strategies have also been gathered into a further step for implementation of the photocatalytic process in a continuous mode, which inherently involves the immobilisation of the photoactive material onto solid media. In addition, immobilisation provokes a reduction of energy investment by a decrease in the number of process units. Globally, the support media must integrate some characteristics: (i) to allow high light transmission, (ii) to possess chemical and mechanical stability, and (iii) to have the ability to keep the solid photocatalyst attached to the surface during photoreactions [119].
Until now, there have been two kinds of supports that solve the problem of handling powdery catalysts and make catalyst replacement easier once the reaction is performed. Those are the multichannel monoliths and the open-cell alveolar ceramic foams. In the case of monoliths, they are the substitute of the packed-bed photocatalyst, but they suffer from poor light transmission in their inner parts and do not allow the photoreaction to proceed. While in the case of open-cell alveolar foams, they benefit from acting as a static mixer, which can work under low pressure drop, and they have higher light transmission on the entire surface. For them, works dealing with (β-)SiC, ZrO2 and metallic foams for attaching the photocatalyst have been reported. In this context, the main studies that report the use of media for photo-assisted wastewater photo-assisted treatment can be seen in Table 9.
Most works are devoted to a pure photocatalytic process in which titania is the supported photocatalyst par excellence [120,121,122,123], while only two works have been found in the literature dealing with the photo-Fenton process involving iron-based materials anchoring in a medium [124,125]. It must be highlighted that the works of Rico-Santacruz et al. [122,123] are not characterised by the attachment of the catalyst to the support unless by the one-step synthesis of the whole active phase/support, avoiding in this manner, the leaching of the active phase to the liquid solution. Some details are found in Table 9.
Table 9. Photocatalysts immobilised onto supports for water treatment of AOPs.
Table 9. Photocatalysts immobilised onto supports for water treatment of AOPs.
Catalyst/
Support
ConditionsAdvantagesDisadvantagesRef.
TiO2/β-SiCPesticide pyrimethanil
/photocatalysis
Titania coating optimized; no active phase release [121]
TiO2/β-SiCNanoplastic pollutants
/photocatalysis
Titania coating optimized; no active phase release [120]
TiO2/ZrO2CEC and disinfection
/photocatalysis
No evaluation of active phase release[126]
TiO2@β-SiCDiuron pesticide
/photocatalysis
Single unique phase; no separation between the active phase and the support.No active phase release[122,123]
Perovskite/monolithMethylparaben
/photo-Fenton
Photo-Fenton at pH0 = 7 [125]
TiO2-FeSO4/metallic foamMalachite green dye/photo-FentonLED employmentSmall amount of Fe leached[124]

5. Process Combination

This section offers investigations that reported the combination of processes, either because of a combination of different photo-assisted advanced oxidation processes (AOPs) or because of a combination of at least one AOP with another type of treatment. In the same way, this section will review and classify the combined treatments as those that are hybrid or single-step processes and sequential or two-step processes, as seen in Figure 6. During the latest years, the scientific community has focused on the study of technologies combination. However, most of these studies have been performed at the lab scale, with very low implementation on a pilot and real scale. Therefore, this section especially summarises the recent advances at the lab scale by combining technologies.
In this way, the combination of processes only has one objective: increasing the treatment capacity of the process, either by an accumulative effect as a consequence of the increase in the production of free radical species, or by a synergistic effect by the positive interaction of the individual processes [127]. The calculation of the synergistic effect has been reported by different authors in different ways. While Dewil et al. [127] reported the calculation following Equation (7), Spuhler et al. [128] followed Equation (8).
S = k c o m b i n e d 1 n k i k c o m b i n e d
S = k c o m b i n e d i n k i
It seems logical to think that a combination of treatments is carried out with the aim of obtaining a positive synergetic effect. However, this does not always happen, and sometimes, this combination does not necessarily have to be beneficial from the point of view of final performance. This effect may be more common when the combination of processes involves different AOPs and is a consequence of the excess of radical species generated, which can produce scavenger effects.

5.1. Hybrid/Integrated Systems including at Least One Photo-Assisted AOP

Therefore, in a first approach, we will describe the recent literature found about the combination processes as a hybrid or integrated system. Most of the research has been focused separately on photo-assisted advanced oxidation processes. However, hybrid or integrated systems are single-step processes that use the advantages of available treatment to overcome the challenges and limitations during the removal of pollutants. These hybrid systems can be divided by a combination of a photo-assisted AOP with other AOPs or with other kinds of technologies (physical, chemical, or biological).
Table 10 summarises a collection of recent hybrid treatments based on the combination of a photo-assisted AOP with other AOPs in a single step. Furthermore, in these combinations, the authors have proved the synergistic effect as a result of combination of two AOPs in a single step with respect to the effect of the different AOPs individually.
As can be observed in Table 10, there are many references exploring this combination of photo-assisted AOPs. In general, the combination comes from the mix of oxidants (O3, H2O2, peroxymonosulfate (PMS) or peroxydisulfate (PDS), etc.) with catalysts (TiO2, ZnO, Fe3O4 or other iron species, etc.) in the presence of different kinds of UV radiation (UV-C, UV-A, UV–Vis, solar radiation), or combined with electro or sono- AOPs. Although there is no clear trend, since for this combination of processes, researchers apply it both to the elimination of pathogens [146,147] and to the removal of micropollutants [129,130,131,132,133,134,135,136,138,139,140,141,142], most of the work focusses on the latter. When micropollutants are used as a target pollutant to test the synergy of the treatments, these are normally tested in ultrapure water matrices [130,131,132,133,134,136,138,140,141,142,146] with a very low influence of other substances present in water, ensuring very high performance (between 90 and 100% of removal), while when more complex aqueous matrices are used, such as natural water or real or simulated urban or industrial wastewater [129,133,134,135,137,139,147], the performance is lower or a higher reaction time is required to reach total removal. Most of these works are performed on a laboratory scale. The main reason is that AOPs are still emerging technologies without the maturity level necessary to be implemented on a full scale, and this coupling of AOPs in hybrid systems is one more step in the maturation process of this technology.
Therefore, it is worth highlighting the work carried out on complex water samples. For example, Pérez-Lucas et al. [129] studied the combination of different photo-assisted AOPs in a single step (O3/H2O2/UV-C; ZnO/Na2S2O8/UV-C and TiO2/Na2S2O8/UV-C) on the removal of two different herbicides (Fluroxypyr and Triclopyr) present in natural and leaching water. Under these operating conditions, 92 and 62% of removal of fluroxypyr and Triclopyr, respectively, was obtained after 120 min, being reduced to 66 and 13% in leaching water samples due to the complexity of these samples. Roccamante et al. [133] studied the removal of a mixture of four different micropollutants (Pentachlorophenol, Terbutryn, Chlorofenvinphos and Diclofenac) in different water matrices (simulated, natural and simulated wastewater) using solar-driven AOP (solar photo-Fenton, solar H2O2 and solar Fe(II)) in combination with ozonation. Under these operating conditions, Roccamante et al. reported an average removal of the mixture of micropollutants of 80% with an accumulated dose of radiation of 4 kJ/L when the treatments were applied over the simulated wastewater sample, which is the most complex sample of the three studied. Talwar et al. [139] described a 60% metronidazole after 15 min of treatment using a combination of solar photo-Fenton applied in a cylindrical parabolic collector (CPC) together with TiO2 as a photocatalyst. Moving to another field of application, Rodríguez-Chueca et al. [147] reported the simultaneous removal of microorganisms and 13 micropollutants with the PMS/solar photo-Fenton system in natural water samples. In this work, the total removal of E. coli was observed in 20 min of reaction, while 15 min was required to reduce the average concentration of more than 90% of the 13 micropollutants.
On the other hand, Table 11 summarises the combination of photo-assisted AOPs with other kind of technologies.
In this case, as observed in Table 10, different physical or chemical technologies are the most adequate to pair in the same step with these AOPs, especially the filtration steps, such as microfiltration, ultrafiltration or nanofiltration [148,149,150], adsorption with activated carbon [151] or hydrodynamic cavitation [152]. The combination of photo-assisted AOPs with a filtration system is particularly noteworthy. The maturity level of this system can be considered higher than the hybrid combination of AOPs shown in Table 10, especially in well-known photocatalytic membrane reactors or, in other words, in photocatalytic membrane reactors. This higher level of maturity is demonstrated in the greater application of these technologies over complex water matrices, such as simulated or real wastewater samples.
Rodríguez-Chueca et al. [148] reduced the microbial population in simulated wastewater samples using a photocatalytic membrane reactor, combining TiO2 with UV-C radiation and microfiltration. Under the reported operating conditions, 4-log units of E. coli, Enterococcus sp., and Candida albicans were reduced in simulated wastewater samples using a very short contact time. In a photocatalytic membrane reactor, Moslehyani et al. [150] reported the successful reduction in organic matter content in terms of COD and TOC (87.4 and 70%, respectively) in industrial wastewater, using ultrafiltration and TiO2 exposed to UV-A radiation. Similar to photocatalytic membrane reactors but working in a homogeneous phase, the combined system proposed by Aydiner et al. [149], in which photo-Fenton (with UV-A or UV-C radiation) was combined with ultrafiltration to reduce the content of organic matter (COD and TOC) in industrial wastewater samples, reached similar results to the reported by Moslehyani et al. with TiO2 [150]. In the same level of reduction of the organic matter content (87% of COD) in industrial wastewater are the results reported by Kakavandi and Ahmadi [151]; however, in this case, photo-assisted AOP was not combined with a filtration step, but also, a combination of activated carbon with sonication and H2O2/UV was used. Therefore, in general terms, it is clearly observed that hybrid systems combining AOPs with other technologies have proven to be mature enough to reduce organic content and organic micropollutants in complex water matrices, demonstrating the synergistic effect caused by the different treatments performed by separation.

5.2. Sequential or Two-Step Combination Processes

Not always is the combination of processes in a single step technically possible; even this combination should be the best one in terms of efficiency. For this reason, the combination of processes in sequential or two-step systems is also studied. This is also called a treatment chain or treatment train.
In the first approach, this section summarises those research reports where treatment trains combine different AOPs (with at least one photo-assisted). This information is shown in Table 12.
As can be seen in Table 10, the sequential combination of AOPs is not common in the literature. It is not clear, the reason to explain this, except to think that AOPs are such efficient treatments from a contaminant removal point of view, it does not seem to make much sense to combine more than one treatment in sequence. Normally, the combination of treatments in sequence aims to remove contaminants of a different nature (organic, inorganic, metals, microorganisms, etc.), and therefore, treatments of a different nature are used. However, the use of AOPs is exclusively focused on the chemical oxidation of organic and biological contaminants; thus, if these are reduced in great quantities in a first stage, it does not seem to make much sense to include a new subsequent stage with the same nature. However, Sun et al. [153] reported the removal of N,N-Diethyl-p- phenylenediamine sulphate, nitrobenzene and benzoic acid through a sequential combination of ozonation and different photo-assisted AOPs (such as H2O2/UV, S2O82−/UV and HClO/UV). Under the operating conditions reported by Sun et al. [153], acid benzoic was reduced by more than 90% in the O3/S2O82−/UV system, followed by O3/H2O2/UV with a yield of 80%. Ghanbari et al. [154] reported a reduction in organic matter in more than 90% (COD and TOC) in landfill leachate by sequential combination of electrocoagulation/electrooxidation and the CuFe2O4/PMS/UV system.
In addition, as mentioned above, it makes more sense to combine, in sequence, AOPs with other different technologies, in order to reach synergies and to maximise the removal of pollutants in water. In addition, AOPs are always considered the last step in a chain treatment because of their ability to remove organic micropollutants or pathogenic germs, and because the cleaner the water matrix, the more effective it is. Therefore, these AOPs may be coupled with biological treatments in order to reduce previously the content of organic matter, such as with coagulation–flocculation to reduce the colloidal matter in water, with adsorption, or with filtration systems to maximise the removal of a certain organic substance or a group of them. Table 13 summarises recent references in the literature studying this treatment train that include at least one photo-assisted AOP. These treatment trains are more focused on the treatment of real water samples, especially focused on the treatment of industrial or urban wastewater, and at a larger scale than those treatments shown in the previous tables.
As it has been previously mentioned and as seen in Table 13, these treatment trains are normally tested over real water samples, especially over samples with a higher complexity such as urban and industrial wastewater, due to the combination of mature technology (biological, coagulation–flocculation, adsorption or filtration systems) with an emerging technique such as AOPs. In addition, in this case, research is focused not only on the removal of emerging pollutants but also on the reduction of organic matter content or other parameters usually controlled for in regular wastewater treatment facilities, such as nitrogen, phosphorus, turbidity, total suspended solids, or even microorganisms. The works presented in Table 13 are not comparable with each other when analysing different water matrices, with different operating conditions, even with different types of unitary processes within the treatment chain. However, it can be concluded that the combination of processes is what increases the results of the elimination of the pollutants in question.

6. Concluding Remarks

In conclusion, UV-AOPs have been successfully applied to the removal of a wide range of contaminants from polluted water. However, their application at an industrial scale remains a challenge due to the high operational costs associated with these processes. To address this issue, intensifying UV-AOPs through optimisation of operating conditions and development of bifunctional catalysts is a promising approach for improving their feasibility and effectiveness on an industrial scale.
Recent research has focused on optimising different operational parameters, such as catalyst loading, pH, temperature, and oxidant concentration, to augment the photocatalytic process efficiency and reduce reagent consumption and treatment time. The efficiency of UV-AOPs is sensitive to these parameters, and while increasing catalyst loading can improve pollutant removal rates, exceeding the maximum optimal value can slow the rate of mineralisation. Different studies have found varying optimal concentrations for different catalysts and conditions, and some have developed models to better understand the dependence of reaction rates on catalyst loadings.
The review also discusses the development of photocatalytic materials for intensifying the UV-AOPs process. This optimisation has primarily been in two directions: to reduce the physical limitations of the reaction and to increase the overall yield of the treatment, which is also related to the chemical limitations. The main approaches to intensifying photocatalysts can be divided into two main categories: design orientated to reduce mass and photon transfer limitations and design of bifunctional catalysts that increase the generation of oxidising species. These strategies are further discussed, including the main approaches found in the literature for each of them.
Additionally, the review examines the combination of different photo-assisted AOPs for the treatment of pollutants. The combination of processes is often carried out with the aim of achieving a positive synergistic effect, but this is not always the case. The text also describes hybrid and integrated systems that combine AOPs with other technologies and reports on recent research in this area. However, while much research has been on AOPs on the laboratory scale, there has been little implementation on pilot or real scales. Therefore, more research is needed to better understand the mechanisms of these combinations and to improve their applicability at larger scales.
In conclusion, intensifying UV-AOPs through optimisation of operating conditions and development of bifunctional catalysts are promising approaches for improving their feasibility and effectiveness on an industrial scale. Further research is also necessary to better understand the mechanisms of combining different photo-assisted AOPs and to improve their applicability at larger scales.

Author Contributions

Conceptualization, J.R.-C., J.C. and P.G.-M.; methodology, J.R.-C., J.C. and P.G.-M.; formal analysis, J.R.-C., J.C. and P.G.-M.; investigation, J.R.-C., J.C. and P.G.-M.; writing—original draft preparation, J.R.-C., J.C. and P.G.-M.; writing—review and editing, J.R.-C., J.C. and P.G.-M.; visualization, J.R.-C., J.C. and P.G.-M. All authors have equally contributed to this manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

J.R.-C. acknowledges Comunidad de Madrid for funding by the pluriannual agreement with the Polytechnic University of Madrid in the line of action Programme of Excellence for University Teaching Staff (M190020074BJJRC). P.G.-M. acknowledges Comunidad de Madrid through the call Research Grants for Young Investigators from Universidad Politécnica de Madrid for funding the research project SUNCAT4PLAST (APOYO-JOVENES-21-JV4DEB-3-Q2WGKV). J.R.-C. and P.G.-M. acknowledge the Spanish Ministry of Science and Innovation for funding the research project PHOTORAS (PID2021-128165OA-I00).

Informed Consent Statement

Not Applicable.

Data Availability Statement

Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Pandis, P.K.; Kalogirou, C.; Kanellou, E.; Vaitsis, C.; Savvidou, M.G.; Sourkouni, G.; Zorpas, A.A.; Argirusis, C. Key Points of Advanced Oxidation Processes (AOPs) for Wastewater, Organic Pollutants and Pharmaceutical Waste Treatment: A Mini Review. Chem. Eng. 2022, 6, 8. [Google Scholar] [CrossRef]
  2. Ushani, U.; Lu, X.; Wang, J.; Zhang, Z.; Dai, J.; Tan, Y.; Wang, S.; Li, W.; Niu, C.; Cai, T.; et al. Sulfate radicals-based advanced oxidation technology in various environmental remediation: A state-of-the–art review. Chem. Eng. J. 2020, 402, 126232. [Google Scholar] [CrossRef]
  3. Brienza, M.; Katsoyiannis, I.A. Sulfate Radical Technologies as Tertiary Treatment for the Removal of Emerging Contaminants from Wastewater. Sustainability 2017, 9, 1604. [Google Scholar] [CrossRef]
  4. Salazar, L.M.; Grisales, C.M.; Garcia, D.P. How does intensification influence the operational and environmental performance of photo-Fenton processes at acidic and circumneutral pH. Environ. Sci. Pollut. Res. 2018, 26, 4367–4380. [Google Scholar] [CrossRef] [PubMed]
  5. Spasiano, D.; Marotta, R.; Malato, S.; Fernandez-Ibañez, P.; Di Somma, I. Solar photocatalysis: Materials, reactors, some commercial, and pre-industrialized applications. A comprehensive approach. Appl. Catal. B Environ. 2015, 170–171, 90–123. [Google Scholar] [CrossRef]
  6. Dimian, A.C.; Bildea, C.S.; Kiss, A.A. Process Intensification. Comput. Aided Chem. Eng. 2014, 397–448. [Google Scholar] [CrossRef]
  7. Huang, K.; Wang, S.-J.; Shan, L.; Zhu, Q.; Qian, J. Seeking synergistic effect—A key principle in process intensification. Sep. Purif. Technol. 2007, 57, 111–120. [Google Scholar] [CrossRef]
  8. Mesones, S.; Mena, E.; López-Muñoz, M.J.; Adán, C.; Marugán, J. Synergistic and antagonistic effects in the photoelectrocatalytic disinfection of water with TiO2 supported on activated carbon as a bipolar electrode in a novel 3D photoelectrochemical reactor. Sep. Purif. Technol. 2020, 247, 117002. [Google Scholar] [CrossRef]
  9. Malato, S.; Fernández-Ibáñez, P.; Maldonado, M.; Blanco, J.; Gernjak, W. Decontamination and disinfection of water by solar photocatalysis: Recent overview and trends. Catal. Today 2009, 147, 1–59. [Google Scholar] [CrossRef]
  10. Herrmann, J.-M. Photocatalysis fundamentals revisited to avoid several misconceptions. Appl. Catal. B Environ. 2010, 99, 461–468. [Google Scholar] [CrossRef]
  11. Azzaz, A.; Jellali, S.; Hamed, N.; El Jery, A.; Khezami, L.; Assadi, A.; Amrane, A. Photocatalytic Treatment of Wastewater Containing Simultaneous Organic and Inorganic Pollution: Competition and Operating Parameters Effects. Catalysts 2021, 11, 855. [Google Scholar] [CrossRef]
  12. Ochoa-Gutiérrez, K.S.; Tabares-Aguilar, E.; Mueses, M.; Machuca-Martínez, F.; Puma, G.L. A Novel Prototype Offset Multi Tubular Photoreactor (OMTP) for solar photocatalytic degradation of water contaminants. Chem. Eng. J. 2018, 341, 628–638. [Google Scholar] [CrossRef]
  13. Elhalil, A.; Elmoubarki, R.; Farnane, M.; Machrouhi, A.; Sadiq, M.; Mahjoubi, F.; Qourzal, S.; Barka, N. Photocatalytic degradation of caffeine as a model pharmaceutical pollutant on Mg doped ZnO-Al2O3 heterostructure. Environ. Nanotechnol. Monit. Manag. 2018, 10, 63–72. [Google Scholar] [CrossRef]
  14. Jallouli, N.; Pastrana-Martínez, L.M.; Ribeiro, A.R.; Moreira, N.F.; Faria, J.L.; Hentati, O.; Silva, A.M.; Ksibi, M. Heterogeneous photocatalytic degradation of ibuprofen in ultrapure water, municipal and pharmaceutical industry wastewaters using a TiO2/UV-LED system. Chem. Eng. J. 2018, 334, 976–984. [Google Scholar] [CrossRef]
  15. León, D.E.; Zúñiga-Benítez, H.; Peñuela, G.A.; Mansilla, H.D. Photocatalytic Removal of the Antibiotic Cefotaxime on TiO2 and ZnO Suspensions Under Simulated Sunlight Radiation. Water Air Soil Pollut. 2017, 228, 361. [Google Scholar] [CrossRef]
  16. Martínez, C.; Fernández, M.I.; Santaballa, J.A.; Faria, J. Aqueous degradation of diclofenac by heterogeneous photocatalysis using nanostructured materials. Appl. Catal. B Environ. 2011, 107, 110–118. [Google Scholar] [CrossRef]
  17. Garrido, I.; Flores, P.; Hellín, P.; Vela, N.; Navarro, S.; Fenoll, J. Solar reclamation of agro-wastewater polluted with eight pesticides by heterogeneous photocatalysis using a modular facility. A case study. Chemosphere 2020, 249, 126156. [Google Scholar] [CrossRef]
  18. Wang, B.; Fu, T.; An, B.; Liu, Y. UV light-assisted persulfate activation by Cu0-Cu2O for the degradation of sulfamerazine. Sep. Purif. Technol. 2020, 251, 117321. [Google Scholar] [CrossRef]
  19. Tao, Y.; Ni, Q.; Wei, M.; Xia, D.; Li, X.; Xu, A. Metal-free activation of peroxymonosulfate by g-C3N4 under visible light irradiation for the degradation of organic dyes. RSC Adv. 2015, 5, 44128–44136. [Google Scholar] [CrossRef]
  20. Casado, C.; Marugán, J.; Timmers, R.; Muñoz, M.; van Grieken, R. Comprehensive multiphysics modeling of photocatalytic processes by computational fluid dynamics based on intrinsic kinetic parameters determined in a differential photoreactor. Chem. Eng. J. 2017, 310, 368–380. [Google Scholar] [CrossRef] [Green Version]
  21. Carbajo, J.; Tolosana-Moranchel, A.; Casas, J.A.; Faraldos, M.; Bahamonde, A. Analysis of photoefficiency in TiO2 aqueous suspensions: Effect of titania hydrodynamic particle size and catalyst loading on their optical properties. Appl. Catal. B Environ. 2018, 221, 1–8. [Google Scholar] [CrossRef]
  22. Tolosana-Moranchel, A.; Casas, J.; Carbajo, J.; Faraldos, M.; Bahamonde, A. Influence of TiO2 optical parameters in a slurry photocatalytic reactor: Kinetic modelling. Appl. Catal. B Environ. 2017, 200, 164–173. [Google Scholar] [CrossRef]
  23. Acosta-Herazo, R.; Mueses, M.; Puma, G.L.; Machuca-Martínez, F. Impact of photocatalyst optical properties on the efficiency of solar photocatalytic reactors rationalized by the concepts of initial rate of photon absorption (IRPA) dimensionless boundary layer of photon absorption and apparent optical thickness. Chem. Eng. J. 2018, 356, 839–849. [Google Scholar] [CrossRef]
  24. Grčić, I.; Puma, G.L. Six-flux absorption-scattering models for photocatalysis under wide-spectrum irradiation sources in annular and flat reactors using catalysts with different optical properties. Appl. Catal. B Environ. 2017, 211, 222–234. [Google Scholar] [CrossRef]
  25. Koltsakidou, A.; Antonopoulou, M.; Sykiotou, M.; Εvgenidou, E.; Konstantinou, I.; Lambropoulou, D. Photo-Fenton and Fenton-like processes for the treatment of the antineoplastic drug 5-fluorouracil under simulated solar radiation. Environ. Sci. Pollut. Res. 2016, 24, 4791–4800. [Google Scholar] [CrossRef] [PubMed]
  26. Villota, N.; Ferreiro, C.; Qulatein, H.; Lomas, J.; Lombraña, J. Turbidity Changes during Carbamazepine Oxidation by Photo-Fenton. Catalysts 2021, 11, 894. [Google Scholar] [CrossRef]
  27. Coelho, A.; Castro, A.V.; Dezotti, M.; Sant’Anna, G. Treatment of petroleum refinery sourwater by advanced oxidation processes. J. Hazard. Mater. 2006, 137, 178–184. [Google Scholar] [CrossRef] [PubMed]
  28. Cabrera-Reina, A.; Miralles-Cuevas, S.; López, J.C.; Pérez, J.S. Pyrimethanil degradation by photo-Fenton process: Influence of iron and irradiance level on treatment cost. Sci. Total Environ. 2017, 605-606, 230–237. [Google Scholar] [CrossRef]
  29. Ahmed, S.; Rasul, M.G.; Martens, W.N.; Brown, R.; Hashib, M.A. Heterogeneous photocatalytic degradation of phenols in wastewater: A review on current status and developments. Desalination 2010, 261, 3–18. [Google Scholar] [CrossRef]
  30. Seid, M.G.; Byun, J.; Kim, W.; Cho, K.; Hong, S.W. Changes in levels of N-nitrosamine formed from amine-containing compounds during chloramination via photocatalytic pretreatment with immobilized TiO2: Effect of source water and pH. J. Hazard. Mater. 2021, 424, 127398. [Google Scholar] [CrossRef]
  31. Azeez, F.; Al-Hetlani, E.; Arafa, M.; Abdelmonem, Y.; Nazeer, A.A.; Amin, M.O.; Madkour, M. The effect of surface charge on photocatalytic degradation of methylene blue dye using chargeable titania nanoparticles. Sci. Rep. 2018, 8, 7104. [Google Scholar] [CrossRef] [PubMed]
  32. Carbajo, J.; Jiménez, M.; Miralles, S.; Malato, S.; Faraldos, M.; Bahamonde, A. Study of application of titania catalysts on solar photocatalysis: Influence of type of pollutants and water matrices. Chem. Eng. J. 2016, 291, 64–73. [Google Scholar] [CrossRef]
  33. Mirzaei, A.; Chen, Z.; Haghighat, F.; Yerushalmi, L. Removal of pharmaceuticals from water by homo/heterogonous Fenton-type processes—A review. Chemosphere 2017, 174, 665–688. [Google Scholar] [CrossRef]
  34. Cavalcante, R.P.; Sandim, L.D.R.; Bogo, D.; Barbosa, A.M.J.; Osugi, M.E.; Blanco, M.; De Oliveira, S.C.; Matos, M.D.F.C.; Machulek, A.; Ferreira, V.S. Application of Fenton, photo-Fenton, solar photo-Fenton, and UV/H2O2 to degradation of the antineoplastic agent mitoxantrone and toxicological evaluation. Environ. Sci. Pollut. Res. 2012, 20, 2352–2361. [Google Scholar] [CrossRef] [PubMed]
  35. Governo, M.; Santos, M.S.F.; Alves, A.; Madeira, L.M. Degradation of the cytostatic 5-Fluorouracil in water by Fenton and photo-assisted oxidation processes. Environ. Sci. Pollut. Res. 2016, 24, 844–854. [Google Scholar] [CrossRef]
  36. Elmolla, E.S.; Chaudhuri, M. Degradation of the antibiotics amoxicillin, ampicillin and cloxacillin in aqueous solution by the photo-Fenton process. J. Hazard. Mater. 2009, 172, 1476–1481. [Google Scholar] [CrossRef]
  37. El Shahawy, A.; Mohamadien, R.H.; El-Fawal, E.M.; Moustafa, Y.M.; Dawood, M.M.K. Hybrid Photo-Fenton oxidation and biosorption for petroleum wastewater treatment and optimization using Box–Behnken Design. Environ. Technol. Innov. 2021, 24, 101834. [Google Scholar] [CrossRef]
  38. Tawfik, A.; Alalm, M.G.; Awad, H.M.; Islam, M.; Qyyum, M.A.; Al-Muhtaseb, A.H.; Osman, A.I.; Lee, M. Solar photo-oxidation of recalcitrant industrial wastewater: A review. Environ. Chem. Lett. 2022, 20, 1839–1862. [Google Scholar] [CrossRef]
  39. Arzate, S.; Campos-Mañas, M.; Miralles-Cuevas, S.; Agüera, A.; Sánchez, J.G.; Pérez, J.S. Removal of contaminants of emerging concern by continuous flow solar photo-Fenton process at neutral pH in open reactors. J. Environ. Manag. 2020, 261, 110265. [Google Scholar] [CrossRef] [PubMed]
  40. Prada-Vásquez, M.A.; Estrada-Flórez, S.E.; Serna-Galvis, E.A.; Torres-Palma, R.A. Developments in the intensification of photo-Fenton and ozonation-based processes for the removal of contaminants of emerging concern in Ibero-American countries. Sci. Total Environ. 2020, 765, 142699. [Google Scholar] [CrossRef]
  41. Clarizia, L.; Russo, D.; Di Somma, I.; Marotta, R.; Andreozzi, R. Homogeneous photo-Fenton processes at near neutral pH: A review. Appl. Catal. B Environ. 2017, 209, 358–371. [Google Scholar] [CrossRef]
  42. Silva, G.D.; Marson, E.O.; Batista, L.L.; Ueira-Vieira, C.; Starling, M.C.V.; Trovó, A.G. Contrasting the performance of photo-Fenton at neutral pH in the presence of different organic iron-complexes using hydrogen peroxide or persulfate as oxidants for naproxen degradation and removal of antimicrobial activity. Process. Saf. Environ. Prot. 2021, 147, 798–807. [Google Scholar] [CrossRef]
  43. Cai, C.; Zhang, Z.; Liu, J.; Shan, N.; Zhang, H.; Dionysiou, D.D. Visible light-assisted heterogeneous Fenton with ZnFe2O4 for the degradation of Orange II in water. Appl. Catal. B Environ. 2016, 182, 456–468. [Google Scholar] [CrossRef]
  44. Ma, J.; Yang, Q.; Wen, Y.; Liu, W. Fe-g-C3N4/graphitized mesoporous carbon composite as an effective Fenton-like catalyst in a wide pH range. Appl. Catal. B Environ. 2017, 201, 232–240. [Google Scholar] [CrossRef]
  45. Arzate-Salgado, S.-Y.; Morales-Pérez, A.-A.; Solís-López, M.; Ramírez-Zamora, R.-M. Evaluation of metallurgical slag as a Fenton-type photocatalyst for the degradation of an emerging pollutant: Diclofenac. Catal. Today 2016, 266, 126–135. [Google Scholar] [CrossRef]
  46. Buitrago, J.L.; Sanabria, J.; Gútierrez-Zapata, H.M.; Urbano-Ceron, F.J.; García-Barco, A.; Osorio-Vargas, P.; Rengifo-Herrera, J.A. Photo-Fenton process at natural conditions of pH, iron, ions, and humic acids for degradation of diuron and amoxicillin. Environ. Sci. Pollut. Res. 2019, 27, 1608–1624. [Google Scholar] [CrossRef]
  47. De la Cruz, N.; Esquius, L.; Grandjean, D.; Magnet, A.; Tungler, A.; de Alencastro, L.; Pulgarín, C. Degradation of emergent contaminants by UV, UV/H2O2 and neutral photo-Fenton at pilot scale in a domestic wastewater treatment plant. Water Res. 2013, 47, 5836–5845. [Google Scholar] [CrossRef] [PubMed]
  48. Tambat, S.; Umale, S.; Sontakke, S. Photocatalytic degradation of Milling Yellow dye using sol–gel synthesized CeO. Mater. Res. Bull. 2016, 76, 466–472. [Google Scholar] [CrossRef]
  49. Lin, Y.-C.; Lee, H.-S. Effects of TiO2 coating dosage and operational parameters on a TiO2/Ag photocatalysis system for decolorizing Procion red MX-5B. J. Hazard. Mater. 2010, 179, 462–470. [Google Scholar] [CrossRef]
  50. Chen, Y.-W.; Hsu, Y.-H. Effects of Reaction Temperature on the Photocatalytic Activity of TiO2 with Pd and Cu Cocatalysts. Catalysts 2021, 11, 966. [Google Scholar] [CrossRef]
  51. Silveira, J.E.; Garcia-Costa, A.L.; Carbajo, J.; Ribeiro, A.R.; Pliego, G.; Paz, W.S.; Zazo, J.A.; Casas, J.A. Nitrate removal in saline water by photo-reduction using natural FeTiO3 as catalyst. Chem. Eng. J. Adv. 2022, 12, 100387. [Google Scholar] [CrossRef]
  52. Bloh, J.Z. Intensification of Heterogeneous Photocatalytic Reactions Without Efficiency Losses: The Importance of Surface Catalysis. Catal. Lett. 2021, 151, 3105–3113. [Google Scholar] [CrossRef]
  53. Prieto-Rodríguez, L.; Spasiano, D.; Oller, I.; Fernández-Calderero, I.; Agüera, A.; Malato, S. Solar photo-Fenton optimization for the treatment of MWTP effluents containing emerging contaminants. Catal. Today 2013, 209, 188–194. [Google Scholar] [CrossRef]
  54. Pérez, M.; Torrades, F.; Domènech, X.; Peral, J. Fenton and photo-Fenton oxidation of textile effluents. Water Res. 2001, 36, 2703–2710. [Google Scholar] [CrossRef]
  55. Torrades, F.; Pérez, M.; Mansilla, H.D.; Peral, J. Experimental design of Fenton and photo-Fenton reactions for the treatment of cellulose bleaching effluents. Chemosphere 2003, 53, 1211–1220. [Google Scholar] [CrossRef] [PubMed]
  56. Sagawe, G.; Lehnard, A.; Lübber, M.; Bahnemann, D. The insulated solar fenton hybrid process: Fundamental investi-gations. Helv. Chim. Acta 2001, 84, 3742–3759. [Google Scholar] [CrossRef]
  57. Gernjak, W.; Fuerhacker, M.; Fernández-Ibañez, P.; Blanco, J.; Malato, S. Solar photo-Fenton treatment—Process parameters and process control. Appl. Catal. B Environ. 2006, 64, 121–130. [Google Scholar] [CrossRef]
  58. Zhang, J.; Zhang, X.; Wang, Y. Degradation of phenol by a heterogeneous photo-Fenton process using Fe/Cu/Al catalysts. RSC Adv. 2016, 6, 13168–13176. [Google Scholar] [CrossRef]
  59. Expósito, A.J.; Monteagudo, J.M.; Díaz, I.; Durán, A. Photo-fenton degradation of a beverage industrial effluent: Intensification with persulfate and the study of radicals. Chem. Eng. J. 2016, 306, 1203–1211. [Google Scholar] [CrossRef]
  60. Zapata, A.; Oller, I.; Bizani, E.; Sánchez-Pérez, J.; Maldonado, M.; Malato, S. Evaluation of operational parameters involved in solar photo-Fenton degradation of a commercial pesticide mixture. Catal. Today 2009, 144, 94–99. [Google Scholar] [CrossRef]
  61. Carbajo, J.; Silveira, J.; Pliego, G.; Zazo, J.; Casas, J. Increasing Photo-Fenton process Efficiency: The effect of high temperatures. Sep. Purif. Technol. 2021, 271, 118876. [Google Scholar] [CrossRef]
  62. Vallés, I.; Santos-Juanes, L.; Amat, A.; Moreno-Andrés, J.; Arques, A. Effect of Salinity on UVA-Vis Light Driven Photo-Fenton Process at Acidic and Circumneutral pH. Water 2021, 13, 1315. [Google Scholar] [CrossRef]
  63. Pliego, G.; Xekoukoulotakis, N.; Venieri, D.; Zazo, J.A.; Casas, J.A.; Rodriguez, J.J.; Mantzavinos, D. Complete degradation of the persistent anti-depressant sertraline in aqueous solution by solar photo-Fenton oxidation. J. Chem. Technol. Biotechnol. 2014, 89, 814–818. [Google Scholar] [CrossRef]
  64. Hermosilla, D.; Merayo, N.; Ordóñez, R.; Blanco, Á. Optimization of conventional Fenton and ultraviolet-assisted oxidation processes for the treatment of reverse osmosis retentate from a paper mill. Waste Manag. 2012, 32, 1236–1243. [Google Scholar] [CrossRef]
  65. Pouran, S.R.; Aziz, A.A.; Daud, W.M.A.W. Review on the main advances in photo-Fenton oxidation system for recalcitrant wastewaters. J. Ind. Eng. Chem. 2015, 21, 53–69. [Google Scholar] [CrossRef]
  66. Sirtori, C.; Zapata, A.; Gernjak, W.; Malato, S.; Lopez, A.; Agüera, A. Solar photo-Fenton degradation of nalidixic acid in waters and wastewaters of different composition. Analytical assessment by LC–TOF-MS. Water Res. 2011, 45, 1736–1744. [Google Scholar] [CrossRef]
  67. Hermosilla, D.; Cortijo, M.; Huang, C.P. Optimizing the treatment of landfill leachate by conventional Fenton and photo-Fenton processes. Sci. Total Environ. 2009, 407, 3473–3481. [Google Scholar] [CrossRef]
  68. Cunha-Filho, F.J.; Mota-Lima, A.; Ratkievicius, L.A.; Silva, D.J.; Silva, D.N.; Chiavone-Filho, O.; Nascimento, C.A.O.D. Rapid mineralization rate of acetylsalicylic acid in a tubular photochemical reactor: The role of the optimized excess of H2O2. J. Water Process. Eng. 2019, 31, 100856. [Google Scholar] [CrossRef]
  69. Batista, A.P.S.; Nogueira, R.F.P. Parameters affecting sulfonamide photo-Fenton degradation–Iron complexation and substituent group. J. Photochem. Photobiol. A Chem. 2012, 232, 8–13. [Google Scholar] [CrossRef]
  70. Chu, W.; Chan, K.; Kwan, C.; Choi, K. Degradation of atrazine by modified stepwise-Fenton’s processes. Chemosphere 2007, 67, 755–761. [Google Scholar] [CrossRef]
  71. Monteagudo, J.; Durán, A.; Martín, I.S.; Aguirre, M. Effect of continuous addition of H2O2 and air injection on ferrioxalate-assisted solar photo-Fenton degradation of Orange II. Appl. Catal. B Environ. 2009, 89, 510–518. [Google Scholar] [CrossRef]
  72. Prieto-Rodríguez, L.; Oller, I.; Zapata, A.; Agüera, A.; Malato, S. Hydrogen peroxide automatic dosing based on dissolved oxygen concentration during solar photo-Fenton. Catal. Today 2011, 161, 247–254. [Google Scholar] [CrossRef]
  73. Yu, X.; Somoza-Tornos, A.; Graells, M.; Pérez-Moya, M. An experimental approach to the optimization of the dosage of hydrogen peroxide for Fenton and photo-Fenton processes. Sci. Total Environ. 2020, 743, 140402. [Google Scholar] [CrossRef] [PubMed]
  74. Saldaña-Flores, K.E.; Flores-Estrella, R.A.; Alcaraz-Gonzalez, V.; Carissimi, E.; de Souza, B.G.; Ruotolo, L.A.M.; Urquieta-Gonzalez, E. Regulation of Hydrogen Peroxide Dosage in a Heterogeneous Photo-Fenton Process. Processes 2021, 9, 2167. [Google Scholar] [CrossRef]
  75. Silva, T.F.; Fonseca, A.; Saraiva, I.; Boaventura, R.A.; Vilar, V.J. Scale-up and cost analysis of a photo-Fenton system for sanitary landfill leachate treatment. Chem. Eng. J. 2015, 283, 76–88. [Google Scholar] [CrossRef]
  76. Devi, L.G.; Srinivas, M.; ArunaKumari, M. Heterogeneous advanced photo- Fenton process using peroxymonosulfate and peroxydisulfate in presence of zero valent metallic iron: A comparative study with hydrogen peroxide photo-Fenton process. J. Water Process. Eng. 2016, 13, 117–126. [Google Scholar] [CrossRef]
  77. Giannakis, S.; Lin, K.-Y.A.; Ghanbari, F. A review of the recent advances on the treatment of industrial wastewaters by Sulfate Radical-based Advanced Oxidation Processes (SR-AOPs). Chem. Eng. J. 2020, 406, 127083. [Google Scholar] [CrossRef]
  78. Ge, M.; Hu, Z.; Wei, J.; He, Q.; He, Z. Recent advances in persulfate-assisted TiO2-based photocatalysis for wastewater treatment: Performances, mechanism and perspectives. J. Alloys Compd. 2021, 888, 161625. [Google Scholar] [CrossRef]
  79. Ismail, L.; Ferronato, C.; Fine, L.; Jaber, F.; Chovelon, J.-M. Elimination of sulfaclozine from water with SO4−radicals: Evaluation of different persulfate activation methods. Appl. Catal. B Environ. 2017, 201, 573–581. [Google Scholar] [CrossRef]
  80. Ding, H.; Hu, J. Degradation of ibuprofen by UVA-LED/TiO2/persulfate process: Kinetics, mechanism, water matrix effects, intermediates and energy consumption. Chem. Eng. J. 2020, 397, 125462. [Google Scholar] [CrossRef]
  81. Du, X.; Bai, X.; Xu, L.; Yang, L.; Jin, P. Visible-light activation of persulfate by TiO2/g-C3N4 photocatalyst toward efficient degradation of micropollutants. Chem. Eng. J. 2019, 384, 123245. [Google Scholar] [CrossRef]
  82. Carbajo, J.; Adán, C.; Rey, A.; Martínez-Arias, A.; Bahamonde, A. Optimization of H2O2 use during the photocatalytic degradation of ethidium bromide with TiO2 and iron-doped TiO2 catalysts. Appl. Catal. B Environ. 2010, 102, 85–93. [Google Scholar] [CrossRef]
  83. Cuervo Lumbaque, E.; Sirtori, C.; Vilar, V.J. Heterogeneous photocatalytic degradation of pharmaceuticals in synthetic and real matrices using a tube-in-tube membrane reactor with radial addition of H2O2. Sci. Total Environ. 2020, 743, 140629. [Google Scholar] [CrossRef]
  84. Fu, Y.; Chang, C.; Chen, P.; Chu, X.; Zhu, L. Enhanced photocatalytic performance of boron doped Bi2WO6 nanosheets under simulated solar light irradiation. J. Hazard. Mater. 2013, 254, 185–192. [Google Scholar] [CrossRef]
  85. García-Muñoz, P.; Zussblatt, N.P.; Pliego, G.; Zazo, J.A.; Fresno, F.; Chmelka, B.F.; Casas, J.A. Evaluation of photoassisted treatments for norfloxacin removal in water using mesoporous Fe2O3-TiO2 materials. J. Environ. Manag. 2019, 238, 243–250. [Google Scholar] [CrossRef]
  86. Ismail, A.A.; Abdelfattah, I.; Faisal, M.; Helal, A. Efficient photodecomposition of herbicide imazapyr over mesoporous Ga2O3-TiO2 nanocomposites. J. Hazard. Mater. 2018, 342, 519–526. [Google Scholar] [CrossRef]
  87. Phan, T.T.N.; Nikoloski, A.N.; Bahri, P.A.; Li, D. Adsorption and photo-Fenton catalytic degradation of organic dyes over crystalline LaFeO3-doped porous silica. RSC Adv. 2018, 8, 36181–36190. [Google Scholar] [CrossRef]
  88. Phan, T.T.N.; Nikoloski, A.N.; Bahri, P.A.; Li, D. Enhanced removal of organic using LaFeO3-integrated modified natural zeolites via heterogeneous visible light photo-Fenton degradation. J. Environ. Manag. 2018, 233, 471–480. [Google Scholar] [CrossRef]
  89. Wang, G.; Wang, X.; Liu, J.; Sun, X. Mesoporous Au/TiO2 Nanocomposite Microspheres for Visible-Light Photocatalysis. Chem. Eur. J. 2012, 18, 5361–5366. [Google Scholar] [CrossRef]
  90. Wu, Y.; Qin, L.; Zhang, G.; Chen, L.; Guo, X.; Liu, M. Porous Solid Superacid SO42–/Fe2–xZrxO3 Fenton Catalyst for Highly Effective Oxidation of X-3B under Visible Light. Ind. Eng. Chem. Res. 2013, 52, 16698–16708. [Google Scholar] [CrossRef]
  91. Simsek, E.B.; Tuna, Ö.; Balta, Z. Construction of stable perovskite-type LaFeO3 particles on polymeric resin with boosted photocatalytic Fenton-like decaffeination under solar irradiation. Sep. Purif. Technol. 2019, 237, 116384. [Google Scholar] [CrossRef]
  92. Barik, A.J.; Gogate, P.R. Degradation of 4-chloro 2-aminophenol using combined strategies based on ultrasound, photolysis and ozone. Ultrason. Sonochem. 2016, 28, 90–99. [Google Scholar] [CrossRef]
  93. Sheydaei, M.; Zangouei, M.; Vatanpour, V. Coupling visible light sono-photocatalysis and sono-enhanced ultrafiltration processes for continuous flow degradation of dyestuff using N-doped titania nanoparticles. Chem. Eng. Process. Process. Intensif. 2019, 143. [Google Scholar] [CrossRef]
  94. Kakavandi, B.; Bahari, N.; Kalantary, R.R.; Fard, E.D. Enhanced sono-photocatalysis of tetracycline antibiotic using TiO2 decorated on magnetic activated carbon (MAC@T) coupled with US and UV: A new hybrid system. Ultrason. Sonochem. 2019, 55, 75–85. [Google Scholar] [CrossRef]
  95. Babu, S.G.; Karthik, P.; John, M.C.; Lakhera, S.K.; Ashokkumar, M.; Khim, J.; Neppolian, B. Synergistic effect of sono-photocatalytic process for the degradation of organic pollutants using CuO-TiO2/rGO. Ultrason. Sonochem. 2018, 50, 218–223. [Google Scholar] [CrossRef]
  96. Geng, N.; Chen, W.; Xu, H.; Lin, T.; Ding, M.; Wang, Y.; Tao, H.; Hu, K. Preparation of Fe3O4/TiO2-N-GO sonocatalyst and using for humic acid removal with the assist of ultrasound. Mater. Sci. Semicond. Process. 2019, 102, 104593. [Google Scholar] [CrossRef]
  97. Isari, A.A.; Hayati, F.; Kakavandi, B.; Rostami, M.; Motevassel, M.; Dehghanifard, E. N, Cu co-doped TiO2@functionalized SWCNT photocatalyst coupled with ultrasound and visible-light: An effective sono-photocatalysis process for pharmaceutical wastewaters treatment. Chem. Eng. J. 2019, 392, 123685. [Google Scholar] [CrossRef]
  98. Eshaq, G.; Wang, S.; Sun, H.; Sillanpää, M. Core/shell FeVO4@BiOCl heterojunction as a durable heterogeneous Fenton catalyst for the efficient sonophotocatalytic degradation of p-nitrophenol. Sep. Purif. Technol. 2019, 231, 115915. [Google Scholar] [CrossRef]
  99. Guan, S.; Yang, H.; Sun, X.; Xian, T. Preparation and promising application of novel LaFeO3/BiOBr heterojunction photocatalysts for photocatalytic and photo-Fenton removal of dyes. Opt. Mater. 2019, 100, 109644. [Google Scholar] [CrossRef]
  100. Hu, J.; Li, J.; Cui, J.; An, W.; Liu, L.; Liang, Y.; Cui, W. Surface oxygen vacancies enriched FeOOH/Bi2MoO6 photocatalysis- fenton synergy degradation of organic pollutants. J. Hazard. Mater. 2019, 384, 121399. [Google Scholar] [CrossRef]
  101. Huang, S.; Zhang, Q.; Liu, P.; Ma, S.; Xie, B.; Yang, K.; Zhao, Y. Novel up-conversion carbon quantum dots/α-FeOOH nanohybrids eliminate tetracycline and its related drug resistance in visible-light responsive Fenton system. Appl. Catal. B Environ. 2019, 263, 118336. [Google Scholar] [CrossRef]
  102. Li, Q.; Kong, H.; Li, P.; Shao, J.; He, Y. Photo-Fenton degradation of amoxicillin via magnetic TiO2-graphene oxide-Fe3O4 composite with a submerged magnetic separation membrane photocatalytic reactor (SMSMPR). J. Hazard. Mater. 2019, 373, 437–446. [Google Scholar] [CrossRef]
  103. Manickam-Periyaraman, P.; Espinosa, J.C.; Ferrer, B.; Subramanian, S.; Álvaro, M.; García, H.; Navalón, S. Bimetallic iron-copper oxide nanoparticles supported on nanometric diamond as efficient and stable sunlight-assisted Fenton photocatalyst. Chem. Eng. J. 2020, 393, 124770. [Google Scholar] [CrossRef]
  104. García-Muñoz, P.; Pliego, G.; Zazo, J.; Bahamonde, A.; Casas, J. Ilmenite (FeTiO3) as low cost catalyst for advanced oxidation processes. J. Environ. Chem. Eng. 2016, 4, 542–548. [Google Scholar] [CrossRef]
  105. Arshad, A.; Iqbal, J.; Ahmad, I.; Israr, M. Graphene/Fe3O4 nanocomposite: Interplay between photo-Fenton type reaction, and carbon purity for the removal of methyl orange. Ceram. Int. 2018, 44, 2643–2648. [Google Scholar] [CrossRef]
  106. Desipio, M.M.; Van Bramer, S.E.; Thorpe, R.; Saha, D. Photocatalytic and photo-fenton activity of iron oxide-doped carbon nitride in 3D printed and LED driven photon concentrator. J. Hazard. Mater. 2019, 376, 178–187. [Google Scholar] [CrossRef]
  107. Garcia-Muñoz, P.; Lefevre, C.; Robert, D.; Keller, N. Ti-substituted LaFeO3 perovskite as photoassisted CWPO catalyst for water treatment. Appl. Catal. B Environ. 2019, 248, 120–128. [Google Scholar] [CrossRef]
  108. Garcia-Muñoz, P.; Fresno, F.; Lefevre, C.; Robert, D.; Keller, N. Highly robust La1−xTixFeO3 dual catalyst with combined photocatalytic and photo-CWPO activity under visible light for 4-chlorophenol removal in water. Appl. Catal. B Environ. 2019, 262, 118310. [Google Scholar] [CrossRef]
  109. Wang, Q.; Wang, P.; Xu, P.; Li, Y.; Duan, J.; Zhang, G.; Hu, L.; Wang, X.; Zhang, W. Visible-light-driven photo-Fenton reactions using Zn1-1.5Fe S/g-C3N4 photocatalyst: Degradation kinetics and mechanisms analysis. Appl. Catal. B Environ. 2020, 266, 118653. [Google Scholar] [CrossRef]
  110. Yang, L.; Jiao, Y.; Xu, X.; Pan, Y.; Su, C.; Duan, X.; Sun, H.; Liu, S.; Wang, S.; Shao, Z. Superstructures with Atomic-Level Arranged Perovskite and Oxide Layers for Advanced Oxidation with an Enhanced Non-Free Radical Pathway. ACS Sustain. Chem. Eng. 2022, 10, 1899–1909. [Google Scholar] [CrossRef]
  111. García-Muñoz, P.; Pliego, G.; Zazo, J.A.; Casas, J.A. Photocatalytic wet peroxide oxidation process at circumneutral pH using ilmenite as catalyst. J. Environ. Chem. Eng. 2018, 6, 7312–7317. [Google Scholar] [CrossRef]
  112. García-Muñoz, P.; Pliego, G.; Zazo, J.; Bahamonde, A.; Casas, J. Sulfonamides photoassisted oxidation treatments catalyzed by ilmenite. Chemosphere 2017, 180, 523–530. [Google Scholar] [CrossRef] [PubMed]
  113. García-Muñoz, P.; Pliego, G.; Zazo, J.; Barbero, B.; Bahamonde, A.; Casas, J. Modified ilmenite as catalyst for CWPO-Photoassisted process under LED light. Chem. Eng. J. 2017, 318, 89–94. [Google Scholar] [CrossRef]
  114. Garcia-Muñoz, P.; Fresno, F.; Lefevre, C.; Robert, D.; Keller, N. Synergy effect between photocatalysis and heterogeneous photo-Fenton catalysis on Ti-doped LaFeO3 perovskite for high efficiency light-assisted water treatment. Catal. Sci. Technol. 2020, 10, 1299–1310. [Google Scholar] [CrossRef]
  115. Grilla, E.; Matthaiou, V.; Frontistis, Z.; Oller, I.; Polo, I.; Malato, S.; Mantzavinos, D. Degradation of antibiotic trimethoprim by the combined action of sunlight, TiO2 and persulfate: A pilot plant study. Catal. Today 2018, 328, 216–222. [Google Scholar] [CrossRef]
  116. Yentür, G.; Dükkancı, M. Fabrication of magnetically separable plasmonic composite photocatalyst of Ag/AgBr/ZnFe2O4 for visible light photocatalytic oxidation of carbamazepine. Appl. Surf. Sci. 2020, 510, 145374. [Google Scholar] [CrossRef]
  117. Zhong, X.; Zou, Z.-S.; Wang, H.-L.; Huang, W.; Zhou, B.-X. Enhanced Activation of Persulfate by Co-Doped Bismuth Ferrite Nanocomposites for Degradation of Levofloxacin Under Visible Light Irradiation. Materials 2019, 12, 3952. [Google Scholar] [CrossRef]
  118. Silveira, J.E.; Paz, W.S.; Garcia-Muñoz, P.; Zazo, J.A.; Casas, J.A. UV-LED/ilmenite/persulfate for azo dye mineralization: The role of sulfate in the catalyst deactivation. Appl. Catal. B Environ. 2017, 219, 314–321. [Google Scholar] [CrossRef]
  119. Robert, D.; Keller, V.; Keller, N. Immobilization of a Semiconductor Photocatalyst on Solid Supports: Methods, Materials, and Applications. In Photocatalysis and Water Purification: From Fundamentals to Recent Applications; Wiley-VCH Verlag GmbH & Co. KGaA: Weinheim, Germany, 2013; pp. 145–178. [Google Scholar] [CrossRef]
  120. Allé, P.H.; García-Muñoz, P.; Adouby, K.; Keller, N.; Robert, D. Efficient photocatalytic mineralization of polymethylmethacrylate and polystyrene nanoplastics by TiO2/β-SiC alveolar foams. Environ. Chem. Lett. 2020, 19, 1803–1808. [Google Scholar] [CrossRef]
  121. M’Bra, I.C.; García-Muñoz, P.; Drogui, P.; Keller, N.; Trokourey, A.; Robert, D. Heterogeneous photodegradation of Pyrimethanil and its commercial formulation with TiO2 immobilized on SiC foams. J. Photochem. Photobiol. A Chem. 2019, 368, 1–6. [Google Scholar] [CrossRef]
  122. Rico-Santacruz, M.; García-Muñoz, P.; Marchal, C.; Batail, N.; Pham, C.; Robert, D.; Keller, N. Coating-free TiO2@β-SiC alveolar foams as a ready-to-use composite photocatalyst with tunable adsorption properties for water treatment. RSC Adv. 2020, 10, 3817–3825. [Google Scholar] [CrossRef] [PubMed]
  123. Rico-Santacruz, M.; García-Muñoz, P.; Keller, V.; Batail, N.; Pham, C.; Robert, D.; Keller, N. Alveolar TiO2-β-SiC photocatalytic composite foams with tunable properties for water treatment. Catal. Today 2018, 328, 235–242. [Google Scholar] [CrossRef]
  124. Abdi, P.; Farzi, A.; Karimi, A. Application of a hybrid enzymatic and photo-fenton process for investigation of azo dye decolorization on TiO2/metal-foam catalyst. J. Taiwan Inst. Chem. Eng. 2017, 71, 137–144. [Google Scholar] [CrossRef]
  125. Orak, C.; Atalay, S.; Ersöz, G. Photocatalytic and photo-Fenton-like degradation of methylparaben on monolith-supported perovskite-type catalysts. Sep. Sci. Technol. 2017, 52, 1310–1320. [Google Scholar] [CrossRef]
  126. Martín-Sómer, M.; Pablos, C.; de Diego, A.; van Grieken, R.; Encinas, A.; Monsalvo, V.M.; Marugán, J. Novel macroporous 3D photocatalytic foams for simultaneous wastewater disinfection and removal of contaminants of emerging concern. Chem. Eng. J. 2019, 366, 449–459. [Google Scholar] [CrossRef]
  127. Dewil, R.; Mantzavinos, D.; Poulios, I.; Rodrigo, M.A. New perspectives for Advanced Oxidation Processes. J. Environ. Manag. 2017, 195, 93–99. [Google Scholar] [CrossRef]
  128. Spuhler, D.; Rengifo-Herrera, J.A.; Pulgarin, C. The effect of Fe2+, Fe3+, H2O2 and the photo-Fenton reagent at near neutral pH on the solar disinfection (SODIS) at low temperatures of water containing Escherichia coli K12. Appl. Catal. B Environ. 2010, 96, 126–141. [Google Scholar] [CrossRef]
  129. Pérez-Lucas, G.; Aliste, M.; Vela, N.; Garrido, I.; Fenoll, J.; Navarro, S. Decline of fluroxypyr and triclopyr residues from pure, drinking and leaching water by photo-assisted peroxonation. Process. Saf. Environ. Prot. 2020, 137, 358–365. [Google Scholar] [CrossRef]
  130. Martini, J.; Orge, C.A.; Faria, J.L.; Pereira, M.F.R.; Soares, O.S.G. Sulfamethoxazole degradation by combination of advanced oxidation processes. J. Environ. Chem. Eng. 2018, 6, 4054–4060. [Google Scholar] [CrossRef]
  131. Gmurek, M.; Gomes, J.F.; Martins, R.C.; Quinta-Ferreira, R.M. Comparison of radical-driven technologies applied for paraben mixture degradation: Mechanism, biodegradability, toxicity and cost assessment. Environ. Sci. Pollut. Res. 2019, 26, 37174–37192. [Google Scholar] [CrossRef]
  132. Quiñones, D.H.; Álvarez, P.M.; Rey, A.; Contreras, S.; Beltrán, F.J. Application of solar photocatalytic ozonation for the degradation of emerging contaminants in water in a pilot plant. Chem. Eng. J. 2015, 260, 399–410. [Google Scholar] [CrossRef]
  133. Roccamante, M.; Salmerón, I.; Ruiz, A.; Oller, I.; Malato, S. New approaches to solar Advanced Oxidation Processes for elimination of priority substances based on electrooxidation and ozonation at pilot plant scale. Catal. Today 2019, 355, 844–850. [Google Scholar] [CrossRef]
  134. Rodríguez, E.M.; Rey, A.; Mena, E.; Beltrán, F.J. Application of solar photocatalytic ozonation in water treatment using supported TiO2. Appl. Catal. B Environ. 2019, 254, 237–245. [Google Scholar] [CrossRef]
  135. Buyukada, M. Removal, potential reaction pathways, and overall cost analysis of various pollution parameters and toxic odor compounds from the effluents of turkey processing plant using TiO2–assisted UV/O3 process. J. Environ. Manag. 2019, 248, 109298. [Google Scholar] [CrossRef] [PubMed]
  136. Fathinia, M.; Khataee, A.; Naseri, A.; Aber, S. Monitoring simultaneous photocatalytic-ozonation of mixture of pharmaceuticals in the presence of immobilized TiO2 nanoparticles using MCR-ALS: Identification of intermediates and multi-response optimization approach. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 2015, 136, 1275–1290. [Google Scholar] [CrossRef] [PubMed]
  137. Fernandes, A.; Gągol, M.; Makoś, P.; Khan, J.A.; Boczkaj, G. Integrated photocatalytic advanced oxidation system (TiO2/UV/O3/H2O2) for degradation of volatile organic compounds. Sep. Purif. Technol. 2019, 224, 1–14. [Google Scholar] [CrossRef]
  138. Rodríguez-Chueca, J.; Alonso, E.; Singh, D.N. Photocatalytic Mechanisms for Peroxymonosulfate Activation through the Removal of Methylene Blue: A Case Study. Int. J. Environ. Res. Public Health 2019, 16, 198. [Google Scholar] [CrossRef]
  139. Talwar, S.; Verma, A.K.; Sangal, V.K.; Štangar, U.L. Once through continuous flow removal of metronidazole by dual effect of photo-Fenton and photocatalysis in a compound parabolic concentrator at pilot plant scale. Chem. Eng. J. 2020, 388, 124184. [Google Scholar] [CrossRef]
  140. Salmerón, I.; Plakas, K.V.; Sirés, I.; Oller, I.; Maldonado, M.I.; Karabelas, A.J.; Malato, S. Optimization of electrocatalytic H2O2 production at pilot plant scale for solar-assisted water treatment. Appl. Catal. B Environ. 2018, 242, 327–336. [Google Scholar] [CrossRef]
  141. Saleh, R.; Taufik, A. Degradation of methylene blue and congo-red dyes using Fenton, photo-Fenton, sono-Fenton, and sonophoto-Fenton methods in the presence of iron(II,III) oxide/zinc oxide/graphene (Fe3O4/ZnO/graphene) composites. Sep. Purif. Technol. 2018, 210, 563–573. [Google Scholar] [CrossRef]
  142. Xu, L.; Chu, W.; Graham, N. Degradation of di-n-butyl phthalate by a homogeneous sono–photo–Fenton process with in situ generated hydrogen peroxide. Chem. Eng. J. 2014, 240, 541–547. [Google Scholar] [CrossRef]
  143. Kouvelis, K.; Kampioti, A.A.; Petala, A.; Frontistis, Z. Degradation of Sulfamethoxazole Using a Hybrid CuOx–BiVO4/SPS/Solar System. Catalysts 2022, 12, 882. [Google Scholar] [CrossRef]
  144. Liu, C.; Mao, S.; Shi, M.; Wang, F.; Xia, M.; Chen, Q.; Ju, X. Peroxymonosulfate activation through 2D/2D Z-scheme CoAl-LDH/ /BiOBr photocatalyst under visible light for ciprofloxacin degradation. J. Hazard. Mater. 2021, 420, 126613. [Google Scholar] [CrossRef]
  145. Liu, C.; Mao, S.; Wang, H.; Wu, Y.; Wang, F.; Xia, M.; Chen, Q. Peroxymonosulfate-assisted for facilitating photocatalytic degradation performance of 2D/2D WO3/BiOBr S-scheme heterojunction. Chem. Eng. J. 2021, 430, 132806. [Google Scholar] [CrossRef]
  146. Marjanovic, M.; Giannakis, S.; Grandjean, D.; de Alencastro, L.F.; Pulgarin, C. Effect of μM Fe addition, mild heat and solar UV on sulfate radical-mediated inactivation of bacteria, viruses, and micropollutant degradation in water. Water Res. 2018, 140, 220–231. [Google Scholar] [CrossRef]
  147. Rodríguez-Chueca, J.; Giannakis, S.; Marjanovic, M.; Kohantorabi, M.; Gholami, M.R.; Grandjean, D.; de Alencastro, L.F.; Pulgarín, C. Solar-assisted bacterial disinfection and removal of contaminants of emerging concern by Fe2+-activated HSO5-vs. S2O82− in drinking water. Appl. Catal. B Environ. 2019, 248, 62–72. [Google Scholar] [CrossRef]
  148. Rodríguez-Chueca, J.; Mesones, S.; Marugán, J. Hybrid UV-C/microfiltration process in membrane photoreactor for wastewater disinfection. Environ. Sci. Pollut. Res. 2018, 26, 36080–36087. [Google Scholar] [CrossRef] [PubMed]
  149. Aydiner, C.; Mert, B.K.; Dogan, E.C.; Yatmaz, H.C.; Dagli, S.; Aksu, S.; Tilki, Y.M.; Goren, A.Y.; Balci, E. Novel hybrid treatments of textile wastewater by membrane oxidation reactor: Performance investigations, optimizations and efficiency comparisons. Sci. Total Environ. 2019, 683, 411–426. [Google Scholar] [CrossRef] [PubMed]
  150. Moslehyani, A.; Mobaraki, M.; Matsuura, T.; Ismail, A.; Othman, M.; Chowdhury, M. Novel green hybrid processes for oily water photooxidation and purification from merchant ship. Desalination 2016, 391, 98–104. [Google Scholar] [CrossRef]
  151. Kakavandi, B.; Ahmadi, M. Efficient treatment of saline recalcitrant petrochemical wastewater using heterogeneous UV-assisted sono-Fenton process. Ultrason. Sonochem. 2019, 56, 25–36. [Google Scholar] [CrossRef]
  152. Raut-Jadhav, S.; Saharan, V.K.; Pinjari, D.V.; Saini, D.R.; Sonawane, S.H.; Pandit, A.B. Intensification of degradation of imidacloprid in aqueous solutions by combination of hydrodynamic cavitation with various advanced oxidation processes (AOPs). J. Environ. Chem. Eng. 2013, 1, 850–857. [Google Scholar] [CrossRef]
  153. Sun, B.; Wang, Y.; Xiang, Y.; Shang, C. Influence of pre-ozonation of DOM on micropollutant abatement by UV-based advanced oxidation processes. J. Hazard. Mater. 2020, 391, 122201. [Google Scholar] [CrossRef] [PubMed]
  154. Ghanbari, F.; Wu, J.; Khatebasreh, M.; Ding, D.; Lin, K.-Y.A. Efficient treatment for landfill leachate through sequential electrocoagulation, electrooxidation and PMS/UV/CuFe2O4 process. Sep. Purif. Technol. 2020, 242, 116828. [Google Scholar] [CrossRef]
  155. Webler, A.D.; Moreira, F.C.; Dezotti, M.W.; Mahler, C.F.; Segundo, I.D.B.; Boaventura, R.A.; Vilar, V.J. Development of an integrated treatment strategy for a leather tannery landfill leachate. Waste Manag. 2019, 89, 114–128. [Google Scholar] [CrossRef]
  156. Changotra, R.; Rajput, H.; Dhir, A. Treatment of real pharmaceutical wastewater using combined approach of Fenton applications and aerobic biological treatment. J. Photochem. Photobiol. A Chem. 2019, 376, 175–184. [Google Scholar] [CrossRef]
  157. Bener, S.; Atalay, S.; Ersöz, G. The hybrid process with eco-friendly materials for the treatment of the real textile industry wastewater. Ecol. Eng. 2020, 148. [Google Scholar] [CrossRef]
  158. Giannakis, S.; Gamarra Vives, F.A.; Grandjean, D.; Magnet, A.; de Alencastro, L.F.; Pulgarin, C. Effect of advanced oxidation processes on the micropollutants and the effluent organic matter contained in municipal wastewater previously treated by three different secondary methods. Water Res. 2015, 84, 295–306. [Google Scholar] [CrossRef]
  159. Ly, Q.V.; Kim, H.C.; Hur, J. Tracking fluorescent dissolved organic matter in hybrid ultrafiltration systems with TiO2/UV oxidation via EEM-PARAFAC. J. Membr. Sci. 2018, 549, 275–282. [Google Scholar] [CrossRef]
  160. Piras, F.; Santoro, O.; Pastore, T.; Pio, I.; de Dominicis, E.; Gritti, E.; Caricato, R.; Lionetto, M.G.; Mele, G.; Santoro, D. Controlling micropollutants in tertiary municipal wastewater by O3/H2O2, granular biofiltration and UV254/H2O2 for potable reuse applications. Chemosphere 2020, 239, 124635. [Google Scholar] [CrossRef]
  161. Ponce-Robles, L.; Oller, I.; Polo-López, M.I.; Rivas-Ibáñez, G.; Malato, S. Microbiological evaluation of combined advanced chemical-biological oxidation technologies for the treatment of cork boiling wastewater. Sci. Total Environ. 2019, 687, 567–576. [Google Scholar] [CrossRef]
  162. De Oliveira Gonçalves, L.; Starling, M.C.V.M.; Leal, C.D.; Oliveira, D.V.M.; Araújo, J.C.; Leão, M.M.D.; Amorim, C.C. Enhanced biodiesel industry wastewater treatment via a hybrid MBBR combined with advanced oxidation processes: Analysis of active microbiota and toxicity removal. Environ. Sci. Pollut. Res. 2019, 26, 4521–4536. [Google Scholar] [CrossRef] [PubMed]
  163. Rodríguez-Chueca, J.; Amor, C.; Fernandes, J.R.; Tavares, P.B.; Lucas, M.S.; Peres, J.A. Treatment of crystallized-fruit wastewater by UV-A LED photo-Fenton and coagulation-flocculation. Chemosphere 2016, 145, 351–359. [Google Scholar] [CrossRef] [PubMed]
  164. Amin, M.M.; Golbini Mofrad, M.M.; Pourzamani, H.; Sebaradar, S.M.; Ebrahim, K. Treatment of industrial wastewater contaminated with recalcitrant metal working fluids by the photo-Fenton process as post-treatment for DAF. J. Ind. Eng. Chem. 2017, 45, 412–420. [Google Scholar] [CrossRef]
  165. Rodríguez-Chueca, J.; Morales, M.; Mosteo, R.; Ormad, M.P.; Ovelleiro, J.L. Inactivation of Enterococcus faecalis, Pseudomonas aeruginosa and Escherichia coli present in treated urban wastewater by coagulation-flocculation and photo-Fenton processes. Photochem. Photobiol. Sci. 2013, 12, 864–871. [Google Scholar] [CrossRef] [PubMed]
  166. Rodríguez-Chueca, J.; Laski, E.; García-Cañibano, C.; Martín de Vidales, M.J.; Encinas, B.; Kuch, J. Marugán, Micropollutants removal by full-scale UV-C/sulfate radical based Advanced Oxidation Processes. Sci. Total Environ. 2018, 630, 1216–1225. [Google Scholar] [CrossRef] [PubMed]
Figure 1. UV-AOPs classification.
Figure 1. UV-AOPs classification.
Catalysts 13 00401 g001
Figure 2. Key aspects for the optimisation of operating conditions in UV-AOPs.
Figure 2. Key aspects for the optimisation of operating conditions in UV-AOPs.
Catalysts 13 00401 g002
Figure 3. Main strategies developed for process intensification via photocatalyst.
Figure 3. Main strategies developed for process intensification via photocatalyst.
Catalysts 13 00401 g003
Figure 4. (A) Removal of RhB via adsorption by using LFO or HPS_xLFO. (B) The corresponding RhB adsorption capacity. (C) Removal of RhB in the photo-Fenton reaction using LFO or HPS-xLFO (x = 0.075, 0.15, and 0.3) and (D) corresponding degradation rate constants. Operating conditions: T = 25 °C, initial dye concentration = 10 mg/L, catalyst dosage = 1 g/L, initial H2O2 concentration = 10 mM and pH0 = 6). Reproduced with permission from Ref. [87]. Copyright of Royal Society of Chemistry.
Figure 4. (A) Removal of RhB via adsorption by using LFO or HPS_xLFO. (B) The corresponding RhB adsorption capacity. (C) Removal of RhB in the photo-Fenton reaction using LFO or HPS-xLFO (x = 0.075, 0.15, and 0.3) and (D) corresponding degradation rate constants. Operating conditions: T = 25 °C, initial dye concentration = 10 mg/L, catalyst dosage = 1 g/L, initial H2O2 concentration = 10 mM and pH0 = 6). Reproduced with permission from Ref. [87]. Copyright of Royal Society of Chemistry.
Catalysts 13 00401 g004
Figure 5. (A) Partial substitution of TI by La LaFeO3 crystal structure and (B) the resulting TOC removal rate improvement under pure visible light (λ > 420 nm). Reproduced with permission from Ref. [108]. Copyright Elsevier. Reusability tests performed on the La1−XTiXFeO3 dual catalyst in the system H2O2/visible light: (C) Evolution of the relative 4-Chlorophenol concentration and (D) TOC mineralization degree obtained after 210 min of test. Operating conditions: [4-Cl-Phenol]0 = 25 mg/L; [H2O2]0 = 125 mg/L; T = 25 °C; [cat] = 0.5 g/L; (λ > 420 nm). Reproduced with permission from Ref. [108]. Copyright Elsevier.
Figure 5. (A) Partial substitution of TI by La LaFeO3 crystal structure and (B) the resulting TOC removal rate improvement under pure visible light (λ > 420 nm). Reproduced with permission from Ref. [108]. Copyright Elsevier. Reusability tests performed on the La1−XTiXFeO3 dual catalyst in the system H2O2/visible light: (C) Evolution of the relative 4-Chlorophenol concentration and (D) TOC mineralization degree obtained after 210 min of test. Operating conditions: [4-Cl-Phenol]0 = 25 mg/L; [H2O2]0 = 125 mg/L; T = 25 °C; [cat] = 0.5 g/L; (λ > 420 nm). Reproduced with permission from Ref. [108]. Copyright Elsevier.
Catalysts 13 00401 g005
Figure 6. Possibilities of combining UV-AOPs in a single or sequenced stage.
Figure 6. Possibilities of combining UV-AOPs in a single or sequenced stage.
Catalysts 13 00401 g006
Table 6. Catalysts devoted to the combination of radiation and photocatalysis.
Table 6. Catalysts devoted to the combination of radiation and photocatalysis.
CatalystProcessesConditionsPollutantYieldAdvantagesDisadvantagesRef.
CuO-TiO2/rGOUltrasound/photocatalysisUV lightMethyl orange99% oxidation in 90 minSynergy of 3.7 timesNo TOC evaluated. Reduction of activity with the reuse[95]
Fe3O4/TiO2–N-GOUltrasound/photocatalysisVisible lightHumic acids93% removalSurface cleaning, improved mass transfer.
26% higher removal compared to single photocatalysis
[96]
N-Cu co-doped TiO2@CNTsUltrasound/photocatalysisXenon lampSulfamethoxazole in real pharmaceutical wastewater100% antibiotic
93% COD 89% TOC
Real pharmaceutical waterReuse until 6th cycle[97]
TiO2 decorated on magnetic activated carbonUltrasound/photocatalysisUV lighttetracycline93% removal 50% TOC in 180 min Fe leached measured[94]
N-doped titaniaUltrasound/photocatalysis/
filtration
Visible lightDyeSynergetic effect higher than 20%Ultrasonic cleans the membrane [93]
TiO2Microwave/photocatalysisUV4-chloro-2-aminophenolImprovement in removal of more than 50%Reaction rates of more than one order of magnitudeHigh energy consumption[92]
Table 10. Hybrid or single-step combination of photo-assisted advanced oxidation processes.
Table 10. Hybrid or single-step combination of photo-assisted advanced oxidation processes.
CombinationTarget PollutantWater MatrixMaximum
Efficiency
RemarksRef.
O3/H2O2/UV-CFluroxypyr and Triclopyr (herbicides)Drinking water (DW)
Leaching water (LW)
92% Fluroxypyr in DW; 62% Triclopyr in DW, reached with O3/H2O2/UV-C system (120 min)H2O2 = 75 mg/L; O3 = 500 mg/h; pH = 7.3 (LW); 8.2 (DW)[129]
ZnO/Na2S2O8/UV-CZnO = 300 mg/L; Na2S2O2 = 300 mg/L; pH = 7.3 (LW); 8.2 (DW)
TiO2/Na2S2O8/UV-CTiO2 = 300 mg/L; Na2S2O2 = 300 mg/L; pH = 7.3 (LW); 8.2 (DW)
O3/H2O2/UV-ASulfamethoxazole (antibiotic)Ultrapure water (UW)100% (15 min)H2O2 = 45.3 μL; O3 = 50g/m3; pH = 5.1[130]
O3/H2O2/UV-AMethylparaben, ethylparaben, propylparaben, butylparaben and benzylparaben (parabens)Ultrapure water (UW)100% (90 min)H2O2 = 13.5 mg/L; O3 = 0.2 mg/L; pH = 5.7[131]
Solar Photo-Fenton/O3Acetaminophen (drug), antipyrine (analgesic), bisphenol A (additive), caffeine (drug abuse), metoprolol (β-blocker) and testosterone (hormone)Milli-Q water (UW)≈100% in average (10 min)Fe(III) = 2.79 mg/L; H2O2/Fe(III) = 6.09 (mass); average incident UV-A solar radiation 41.2 W/m2; O3 = 13 mg/L; pH = 3[132]
TiO2/Solar radiation/O3≈100% in average (15–20 min)TiO2 = 200 mg/L; average incident UV-A solar radiation 41.2 W/m2; Ozone = 13 mg/L; pH = 7
Solar photo-Fenton/O3Pentachlorophenol (plaguicide), Terbutryn (herbicide), Chlorofenvinphos (insecticide), Diclofenac (drug)Ultrapure water (UW)
Natural water (NW)
Simulated wastewater (SW)
80% in average (4.4 kJ/L) in SWH2O2 = 1.5 mM; Fe(II) and Fe(III) = 0.1 mM; O3 = 0.2–0.6 mg/L; pH = 8[133]
Solar H2O2/O3
Solar Fe/O3
Solar TiO2/O3DEET (insecticide)Ultrapure water (UW)
Real Wastewater (WW)
≈90% (10 min)TiO2 = 150 g/L (supported); pH = 8; O3 = 15 mg/L; Isolar =550 W/m2[134]
TiO2/UV/O3Dimethyl silanediol, acetic acid; diisobutyl phthalate (odour compounds)Industrial wastewater (IW)63.8% Dimethyl silanediol; 41.5% acetic acid; 74.2% diisobutyl phthalate (25 min)O3 = 16 mg/L; pH = 7.5; TiO2 = 3 g/L[135]
TiO2/O3/UV-AMethyl-dopa and famotidine (drugs), and nalidixic acid (antibiotic)Ultrapure water (UW)84.93–99.15% (30 min)O3 = 6 L/h; TiO2 (supported) = 12.5 g/L[136]
TiO2/UV/O3/H2O2Volatile Organic Compounds mixSimulated wastewater98% (30 min)TiO2 = 100 mg/L; O3 = 5.92 g; H2O2 = 1.78 g[137]
PMS/TiO2/UV-AMethylene Blue (dye)Ultrapure water (UW)>90% (60 min)PMS = 0.32 mM; TiO2 = 5 mM; pH = 7[138]
Solar photo-Fenton/TiO2Metronidazole (antibiotic)Real Wastewater (WW)≈60% (15 min)H2O2 = 450 mg/L; pH = 3.0–3.5; Fe and TiO2 supported[139]
Solar photoelectron-Fenton (Fe3O4/ZnO/graphene)Pyrimethanil and Methomyl mix (pesticides)Ultrapure water (UW)>50% (5 min)Na2SO4 = 50 mM; pH = 3.0; j = 74 mA/cm2; Q = 5.6 L/min; Qair = 10 L/min; Fe(II) = 0.5 mM; 64.9 mg H2O2/min[140]
Sono photo-FentonMethylene blue and Congo red (dyes)Ultrapure water (UW)100% (<60 min)40 W UV-C lamps; 40 kHz of US; Fe3O4/ZnO/graphene nanocomposites; Ph = 3 and 13; H2O2 = 4 mL[141]
Sono photo-FentonDi-n-butyl phthalate (plasticizer)Ultrapure water (UW)80% (30 min)Fe(II) = 0.1 mM; 400 kHz; UV-C; pH = 2–9; H2O2 = 0.025–0.2 mM[142]
CuOx–BiVO4/SPS/Solar SystemSulfamethoxazoleUltrapure water (UW), bottled water (BW) secondary wastewater (WW)UW: 100% (30 min) BW: 100% (60 min) WW: 60% (120 min)Solar radiation; [SPS] = 500 mg/L; [Catalyst] = 500 mg/L; 0.75, 3.0 and 10.0 Cu.BVO[143]
CoAl-LDH/
BiOBr/PMS/Visible
CiprofloxacinUltrapure water (UW)96% (30 min)300 W Xenon lamp; 8wt% CoAl-LDH-BiOBr; [PMS] = 60–100 mg/L; [Catalyst] = 30–50 mg/L[144]
WO3/BiOBr/PMS/visibleTetracycline and enrofloxacinUltrapure water (UW)Tetracycline: 98% (60 min)
Enrofloxacin: 87%
300 W Xenon lamp; 2 WO3 + BiOBr; [PMS] = 30 mg/L; [Catalyst] = 20–60 mg[145]
PDS/H2O2/Fe/Solar radiationE. coli (bacteria); MS2 (bacteriophage); 13 micropollutants mixUltrapure water (UW)>6-Log for E. coli (30 min) and MS2 (10 min); >90% for micropollutants (30 min)H2O2 = 10 ppm; 40°CM Fe(II) = 1 ppm; PDS = 9 × 10−5 M; 900 W/m2[146]
PMS/H2O2/Fe/Solar radiationE. coli (bacteria)
13 micropollutants mix
Natural water (NW)>6-Log for E. coli (20 min); >90% for micropollutants (15 min)H2O2 = 10 ppm; 40°CM Fe(II) = 1 ppm; PMS = 3.6 × 10−5 M; 900 W/m2[147]
Table 11. Hybrid or single-step combination photo-assisted advanced oxidation processes with other technologies.
Table 11. Hybrid or single-step combination photo-assisted advanced oxidation processes with other technologies.
CombinationTarget PollutantWater MatrixMaximum
Efficiency
RemarksRef.
TiO2/UV-C/MicrofiltrationE. coli (bacteria), Enterococcus sp. (bacteria), Candida albicans (fungi)Simulated wastewater (SW)4-Log316-L porous stainless-steel membranes; 0.2 gTiO2/membrane; UV-C (254 nm)[148]
Photo-Fenton/UltrafiltrationChemical Oxygen Demand (COD); Total Organic Carbon (TOC)Industrial wastewater (IW)85.9% COD; 74.5% TOCUnder UV-A: pH = 4.00; H2O2/Fe2+ (g/g) = 10.75
Under UV-C: pH = 4.44; H2O2/Fe2+ (g/g) = 7.27
[149]
TiO2/UV/UltrafiltrationChemical Oxygen Demand (COD); Total Organic Carbon (TOC)Industrial wastewater (IW)87.4% COD; 70% TOC (360 min)UV-A (340 nm); 10 g TiO2 immobilized to Halloysite nanotubes; Hollow fibre ultrafiltration membrane[150]
Activated Carbon/US/UV/H2O2Chemical Oxygen Demand (COD)Petrochemical wastewater (IW)87% (80 min)pH = 4.0 ± 0.2; Activated Carbon = 0.4 g/L; H2O2 8.0 mM; 320 W US[151]
Hydrodynamic cavitation/photo-FentonImidacloprid (insecticide)Ultrapure water (DW)99.23% (15 min)H2O2 = 3.91 mM; Fe(II):H2O2 = 1:40; UV-A (364 nm); inlet pressure from 5 to 20 bar[152]
Hydrodynamic cavitation/UV-A45.56% (120 min)UV-A (364 nm); inlet pressure from 5 to 20 bar
Hydrodynamic cavitation/photocatalysis55.18% (120 min)Nb2O5 = 200 mg/L; UV-A (364 nm); inlet pressure from 5 to 20 bar
Table 12. Sequential or two-step combination of advanced oxidation processes.
Table 12. Sequential or two-step combination of advanced oxidation processes.
CombinationTarget PollutantWater MatrixEfficiencyRemarksRef.
Ozonation/UV/H2O2N,N-Diethyl-p- phenylenediamine sulfate, nitrobenzene, benzoic acidUltrapure water (UW) with Dissolved Organic MatterBenzoic acid 80% (30 min)O3 = 5 mg/L; UV-C (254 nm); H2O2 = 1 mM; pH = 7[153]
Ozonation/UV/S2O82−Benzoic acid > 90% (30 min)O3 = 5 mg/L; UV-C (254 nm); S2O82− = 1 mM; pH = 7
Ozonation/UV/HClOBenzoic acid > 20% (20 min)O3 = 5 mg/L UV-C (254 nm); HClO = 5 mg/L; pH = 7
Electrocoagulation/Electrooxidation/
PMS/UV/CuFe2O4
Chemical Oxygen Demand (COD); Total Organic Carbon (TOC); Biochemical Oxygen Demand (BOD), Ammonia (NH4+)Landfill leachate (LL)COD 95.6%; TOC 90.5%; BOD 91.6%; NH4+ 99.8%Current density = 50 mA/cm2; PbO2 anode; pH = 5; PMS = 15 mM; CuFe2O4 = 0.15 g/L[154]
Table 13. Sequential or two-step combination processes (one photo-assisted AOP + other technology).
Table 13. Sequential or two-step combination processes (one photo-assisted AOP + other technology).
CombinationTarget PollutantWater MatrixEfficiencyRemarksRef.
Biological/Coagulation–flocculation/Photo-Fenton/BiologicalChemical Oxygen Demand (COD); Biochemical Oxygen Demand (BOD); Ammonium; Alkalinity; chromium; total suspended solids (TSS); recalcitrant organic compoundsLeather tannery landfill leachate (LL)The efficiency for each target pollutant is not reported in the global systemContinuous-flow SBR: 2.0 g/L < MLVSS < 4.0 g/L; sludge volume index (SVI) of 53 mL/g; 200–400 mg/L FeCl3 as coagulant at pH 3; H2O2 = 400 mg/L; Dissolved iron = 150 mg/L[155]
Biological/Coagulation–flocculation/Photo-electroFenton/BiologicalContinuous-flow SBR: 2.0 g/L < MLVSS < 4.0 g/L; sludge volume index (SVI) of 53 mL/g; 200–400 mg/L FeCl3 as coagulant at pH 3; H2O2 = 400 mg/L; Dissolved iron = 150 mg/L; Current density = 300 mA/cm2
Solar photo-Fenton/Activated sludgeChemical Oxygen Demand (COD); Total Organic Carbon (TOC)Low strength Industrial wastewater (IW)84% (COD)pH = 3; H2O2 = 0.25 M; Fe(II) = 0.05 M; 20% (v/v) sludge concentration[156]
High strength Industrial wastewater (IW)82% (COD)pH = 3; H2O2 = 1 M; Fe(II) = 0.1 M; 25% (v/v) sludge concentration
Electrocoagulation/Adsorption/photo-Fenton-likeChemical Oxygen Demand (COD); Total Organic Carbon (TOC); Turbidity; Colour; Suspended Solids (SS)Textile Wastewater (IW)87% (TOC); 49% (COD); 96% (Turbidity); 90% (Colour); 95–97% (SS)Electrocoagulation: Al Electrode; current density = 25 mA/cm2; pH = 5.
Adsorption: 1 g/L corncob. Photo-Fenton-like: BiNiO3 = 0.75 g/L; H2O2 = 2–8 mM; pH = 7–7.5
[157]
Activated sludge/H2O2/UV-CCarbamazepine; Clarithromycin; Diclofenac; Metoprolol; Benzotriazole; Mecoprop.Urban Wastewater (WW)Average removal micropollutants: 25% (activated sludge) + 100% (10 min)Activated sludge: hydraulic retention time = 4 h; sludge retention time = 2 d; H2O2 = 25 mg/L[158]
Activated sludge/solar photo-FentonAverage removal micropollutants: 25% (activated sludge) + 28% (60 min)Activated sludge: hydraulic retention time = 4 h; sludge retention time = 2 d Fe(II) = 5 mg/L; H2O2 = 25 mg/L
Moving bed bioreactor/H2O2/UV-CAverage removal micropollutants: 40% (moving bed bioreactor) + 100% (10 min)Moving bed bioreactor: no remarks; H2O2 = 25 mg/L
Moving bed bioreactor/solar photo-FentonAverage removal micropollutants: 40% (moving bed bioreactor) + 31% (60 min)Moving bed bioreactor: no remarks; Fe(II) = 5 mg/L; H2O2 = 25 mg/L
Coagulation–Flocculation/H2O2/UV-CAverage removal micropollutants: 20% (coagulation–flocculation) + 100% (30 min)Coagulation–flocculation = FeCl3 (40%) as coagulant. H2O2 = 25 mg/L
Coagulation–Flocculation/solar photo-FentonAverage removal micropollutants: 20% (coagulation–flocculation) + 11% (60 min)Coagulation–flocculation = FeCl3 (40%) as coagulant. Fe(II) = 5 mg/L; H2O2 = 25 mg/L
TiO2/UV/UltrafiltrationDissolved Organic Carbon (DOC)Simulated fresh water>80% (120 min)10 kDa-flat sheet polyethersulfone (PES) membrane 41.8 cm2; TiO2 = 0.4–0–6 g/L; UV-A (354 nm)[159]
O3/H2O2/Carbon based biofilter/UV-C/H2O213 detected micropollutantsTreated real wastewater (WW)O3/H2O2 = 78%; Carbon based biofilter = 87%; UV/H2O2 = 43%O3 = 13 ± 0.5 mg/L, H2O2 = 11 ± 0.4 mg/L for the O3/H2O2 process, and UV = 410 ± 63.5 mJ/cm2, H2O2 = 5 mg/L for the UV-C/H2O2 process[160]
O3/H2O2/Limestone Based Biofilter/UV-C/H2O2O3/H2O2 = 78%; Limestone based biofilter = 67%; UV/H2O2 = 43%
O3/H2O2/Ultrafiltration/UV-C/H2O2/Reverse OsmosisO3/H2O2 = 78%; Ultrafiltration = 0%; UV/H2O2 = 43%; Reverse osmosis = 99%
Coagulation–flocculation/solar photo-Fenton/aerobic bio-treatmentChemical Oxygen Demand (COD); Dissolved Organic Carbon (DOC); Total polyphenol content (TPC)Cork boiling wastewater (IW)Coagulation–flocculation/solar photo-Fenton = 93,4% (COD); 92,8% (DOC); 94,5% (TPC)Coagulation–flocculation: FeCl3 as coagulant (3 min 100 rpm + 30 min 30 rpm + 30 min).
Solar photo-Fenton: Fe(III) from coagulation = 46–80 mg/L; H2O2 = 1–2.5 g/L;
Sequencing Batch Bioreactor (Activated sludge)
[161]
Moving bed bioreactor/photo-FentonChemical Oxygen Demand (COD); Total Organic Carbon (TOC); Oil and greaseIndustrial Wastewater (IW)>95% (COD)Fe(II):H2O2 = 250:800 (mg/L)[162]
Coagulation–flocculation/UV-A-LED/Photo-FentonChemical Oxygen Demand (COD)Industrial wastewater (IW)74% (360 min)H2O2 = 5459 mg/L; Fe(III) = 286 mg/L;
UV-A LED 85 W/m2
[163]
Photo-Fenton/Chemical Addition Dissolved Air Flotation (CA-DAF)Chemical Oxygen Demand (COD); Total Petroleum Hydrocarbon (TPH)Industrial wastewater (IW)99.85% for COD and 98.9% for TPHpH = 3; FeSO4 = 100 mg/L; H2O2 = 17.8 g/L. For DAF unit volume and loading rate were 7 m3 and 35–40 L/min. Aeration rate 15–20 L/min, and pressure was set at 3 bar and the saturation time of 30 min[164]
Coagulation–flocculation/Photo-FentonE. coli; Enterococcus sp.; Pseudomonas aeruginosaSimulated wastewater (SW)>4 log in all bacteria (210 min)pH = 5; Fe(III) = 5 mg/L; H2O2 = 25 mg/L[165]
Coagulation–Flocculation/H2O2/UV-CDetected micropollutantsTreated urban wastewater (WW)Average removal: Coagulation–flocculation < 10%; 55% (H2O2/UV-C)Coagulation–flocculation = 1.1 kg/m3 of polyelectrolyte; H2O2 = 0.5 mM; pH = natural[166]
Coagulation–Flocculation/PDS/UV-CAverage removal: Coagulation–flocculation < 10%; <20% (PDS/UV-C)Coagulation–flocculation = 1.1 kg/m3 of polyelectrolyte; PDS = 0.5 mM; pH = natural
Coagulation–Flocculation/PMS/UV-CAverage removal: Coagulation–flocculation < 10%; 48% (H2O2/UV-C)Coagulation–flocculation = 1.1 kg/m3 of polyelectrolyte; PMS = 0.5 mM; pH = natural
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MDPI and ACS Style

Rodríguez-Chueca, J.; Carbajo, J.; García-Muñoz, P. Intensification of Photo-Assisted Advanced Oxidation Processes for Water Treatment: A Critical Review. Catalysts 2023, 13, 401. https://doi.org/10.3390/catal13020401

AMA Style

Rodríguez-Chueca J, Carbajo J, García-Muñoz P. Intensification of Photo-Assisted Advanced Oxidation Processes for Water Treatment: A Critical Review. Catalysts. 2023; 13(2):401. https://doi.org/10.3390/catal13020401

Chicago/Turabian Style

Rodríguez-Chueca, Jorge, Jaime Carbajo, and Patricia García-Muñoz. 2023. "Intensification of Photo-Assisted Advanced Oxidation Processes for Water Treatment: A Critical Review" Catalysts 13, no. 2: 401. https://doi.org/10.3390/catal13020401

APA Style

Rodríguez-Chueca, J., Carbajo, J., & García-Muñoz, P. (2023). Intensification of Photo-Assisted Advanced Oxidation Processes for Water Treatment: A Critical Review. Catalysts, 13(2), 401. https://doi.org/10.3390/catal13020401

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