Next Article in Journal
The Biphasic Effect of Lipopolysaccharide on Membrane Potential
Previous Article in Journal
Experimental and Simulation Study of Proton Exchange Membrane Fuel Cell with 12 µm Thick Membrane over the Temperature Range of 80 °C to 120 °C
Previous Article in Special Issue
Evaluation of Ceramic Membrane Filtration for Alternatives to Microplastics in Cosmetic Formulations Using FlowCam Analysis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Surfactant-Enhanced Cleaning Solutions for Ceramic Membranes: A Comparative Study on Humic Acid and BSA Fouling

Department of Civil and Environmental Engineering, Carleton University, 1125 Colonel by Drive, Ottawa, ON K1S 5B6, Canada
*
Author to whom correspondence should be addressed.
Membranes 2025, 15(3), 73; https://doi.org/10.3390/membranes15030073
Submission received: 14 January 2025 / Revised: 11 February 2025 / Accepted: 18 February 2025 / Published: 2 March 2025
(This article belongs to the Special Issue Ceramic Membranes for Removal of Emerging Pollutants)

Abstract

:
Control of natural organic matter (NOM) reversible and irreversible fouling with ceramic membranes for drinking water applications with chemically enhanced backwash (CEB) protocols is limited. This research examines the efficiency of various chemical combinations with non-ionic surfactants to control the NOM fouling caused by humic acid (HA) and protein foulants. Two commercially available non-ionic surfactants, Tween 80 and Triton X100, combined with conventional cleaning solutions, were analyzed with respect to membrane fouling and cleaning using the resistance in series (RIS) model, membrane permeability, carbon mass balance, and contact angle measurements. The results demonstrated that in all cases, CEB outperformed hydraulic backwashing; in addition, the inclusion of surfactants demonstrated enhanced the fouling control with protein foulants more than humic acid. The transmembrane pressure (TMP) with surfactant CEB was controlled to within a range of 83–105 kPa compared to hydraulic backwash at approx. 128 kPa for HA and BSA. The carbon mass balance analysis indicates that Tween 80 surfactant-based CEB demonstrated effective fouling control, leaving only 20% irreversible fouling with HA and 30% with BSA while the hydraulic backwash resulted in 57% irreversible fouling of carbon on the membrane for HA and BSA.

1. Introduction

Membrane applications in water treatment have increased drastically in the global market due to advancements in materials and process improvements. Low-pressure membranes (microfiltration (MF) and ultrafiltration (UF)) have experienced widespread acceptance for municipal and industrial water treatment alongside conventional water treatment methods [1,2]. In the low-pressure membrane market, polymeric membranes dominate within water treatment but have shorter life spans (approx. 5–10 years) due to material degradation from exposure to conventional cleaning solutions [3,4]. Ceramic membranes represent an alternative choice for consideration due to their reported higher chemical, mechanical and thermal tolerances, better pore-size distribution, higher fluxes at lower pressures, and a longer effective lifespan offering greater functional advantages compared to polymeric membranes [5,6]. Research into ceramic membranes for water treatment applications is critical to ensure transition into utility systems with ease of implementation.
Control of reversible and irreversible fouling is critical for the operation of membrane systems. Deposition of natural organic matter (NOM) and other substances onto the surface of the membrane, which can be removed effectively through hydraulic backwashing, refers to reversible fouling. On the other hand, irreversible fouling refers to the adsorption or pore plugging of NOM and other substances either within the pores or on the surface of the membrane, which cannot be eliminated by hydraulic backwashing [1,7].
Chemical cleaning is primarily aimed at mitigating the loss in permeability from irreversible fouling and restoring the membrane flux. The membrane’s compatibility and feed characteristics are among the factors that determine what type of chemical solution should be used [8]. Acid, alkali, oxidant, surfactant, and metal chelating agents are commonly employed cleaning agents [8,9,10]. Sodium hypochlorite (NaOCl) and sodium hydroxide (NaOH) are the most commonly used chemicals for preserving and restoring membrane flux [11]. These chemical solutions remove NOM fouling through oxidation, hydrolysis, and solubilization [8]. NaOCl facilitates the breakdown of NOM functional groups into carboxyl and aldehyde groups, hence simplifying their removal from the surface, and sodium hydroxide (NaOH) has the ability to dissolve organic compounds such as proteins and polysaccharides [6,12].
Cleaning of membranes is primarily performed by using clean-in-place (CIP) protocols, which involve soaking a membrane in a chemical solution for 30 min to several hours, generally followed by solution circulation and subsequent flushing [1,13,14]. In place of CIP, chemically enhanced backwash (CEB) protocols may be utilized to help control membrane fouling and delay the need for a CIP. CEB protocols employ the addition of lower concentrations of chemicals than a CIP process into a backwash cycle in place of the standard hydraulic backwash and can alleviate membrane fouling without removing the membrane from service [12,15]. Research into CEB protocols are somewhat limited and have been focused on more heavily within the polymeric fields [12,16,17,18].
In addition to traditional cleaning solutions, surfactants present a promising alternative for enhanced cleaning efficiency, versatility, and cost-effectiveness [19,20]. Surfactants form micelles at their critical micelle concentration (CMC) that abridge hydrophobic foulants, aiding their removal. These surfactants, combined with NaOH and NaOCl, may enhance cleaning by improving penetration within the foulant layer and facilitating chemical reactions that clean the membrane. Additionally, surfactants cause temporary changes to the characteristics of the membrane surface, reducing the forces that cause adhesion and limiting the reattachment of substances that cause fouling following the cleaning process [21,22,23]. Previous studies have shown that combining surfactants with traditional cleaning agents improves cleaning performance and membrane longevity [16,24,25,26]. Levitsky et al. (2012) observed that the CEB of the combined cleaning solution, i.e. Tween 20 (a non-ionic surfactant), NaOCl, and NaOH effectively restored water flux at low chemical concentrations, resulting in reduced protein fouling on a polymeric PES membrane and no evidence of membrane disintegration [16]. Gul et al. (2022) reported that a flat sheet PAN nanomembrane subject to a 24 h CIP soak with a binary solution of Triton + 5% NaOH demonstrated the highest flux recovery for the removal of engine oil wastewater compared to Triton or NaOH alone [7]. Overall, research on combined cleaning solutions with surfactants is primarily focused on polymeric membranes.
Among non-ionic surfactants, Tween (a polysorbate-based surfactant) and Triton (an octylphenol ethoxylate-based surfactant) demonstrate distinct cleaning mechanisms that affect their efficacy in the removal of membrane fouling. Tween 80, a hydrophilic surfactant with a high hydrophilic-lipophilic balance (HLB), enhances fouling removal by reducing surface tension, improving membrane wettability, and facilitating the detachment of hydrophobic NOM components [22,27]. Conversely, Triton X-100, with its relatively lower HLB, interacts more strongly with hydrophobic foulants such as proteins, aiding in their emulsification and dispersion [7,28]. These differences influence the cleaning performance of chemically enhanced backwashing when used in combination with NaOH and NaOCl. Understanding the specific interactions between these surfactants and NOM foulants, such as humic acid (HA) and bovine serum albumin (BSA), is crucial for optimizing membrane cleaning protocols.
Research on surfactant-based cleaning, specifically on natural organic matter (NOM) fouling with CEB, and ceramic membranes, remains scarce. Thus, this research investigates the beneficial effect of utilizing a CEB protocol with non-ionic surfactants and conventional cleaning solutions for the removal of NOM foulants from ceramic UF membranes. This research assesses critical parameters such as transmembrane pressure, RIS fouling index, TOC mass balances, and permeability recovery. The current work systematically investigates the interactions between non-ionic surfactants and ceramic membranes and aims to enhance the recovery of membrane fouling; it also aims to develop a more effective and sustainable cleaning approach for UF ceramic membranes.

2. Materials and Methods

Model foulants: NOM model foulants used in this study were hydrophobic NOM, humic acid (Sigma Aldrich, St. Louis, MO, USA lot# BCCB6671) at 5 mg C/L, and hydrophilic protein, bovine serum albumin (BSA) (Sigma Aldrich, St. Louis, MO, USA) at 5 mg C/L. As reported in previous studies, humic acids and BSA were chosen due to their known fouling propensity and characteristics [1,15]. A 5 L feed water solution was prepared in DI water and mixed with a magnetic stirrer at 350 rpm for 24 h before each experiment to ensure complete dissolution. The feed water was adjusted to a pH of 7 ± 0.5 using H3PO4, and kaolin clay was added to achieve turbidity of 5 NTU, simulating moderate surface water conditions.
Bench-Scale experimental setup and operation: This study employed the use of an automated ceramic membrane system. Figure 1 displays an illustration of the membrane system, including all the measuring instruments. The system consists of a digital gear pump (Cole Parmer: Drive no. 75211-30, Head no. 07003-04), a flow meter (101 Flo-Sen Mc Millan, 3T), solenoid valves (Macmaster: model no. 4711K731), two pressure transducers (OmegaDyne PX309-100G5V, PX409-030GUSB), and a pressure vessel (Cole Parmer: model no. 29902–90). Nitrogen gas was used to maintain pressure inside the pressure vessel throughout the backwash process. LabVIEW 2015 software (National Instruments, Texas, USA) was programmed to automate system processes. The system regulates the feed pump to maintain a constant flow rate, switches between filtration and backwash cycles, and logs real-time data on key operational parameters such as flow rate, pressure, and mass permeate. This study utilized a ceramic ultrafiltration (UF) membrane with a single channel. The membrane was manufactured by Atech Innovations and consisted of α-aluminum oxide (α-Al2O3) as the support material and zirconium dioxide (ZrO2) as the membrane surface material. Table 1 displays the attributes of the membrane utilized in the research.
The ceramic membrane was fouled with humic acid or BSA in a dead-end flow configuration. An initial flux of 100 L/m2h was set for each experiment, which decreases as fouling increases, with data recorded by LabVIEW software. The fouling experiments involved 6 filtration cycles of 30 min with a 60 s backwash at 1 bar pressure after each filtration cycle. The TMP and flux data were logged every 30 s during tests using LabVIEW software. The flux measured during the fouling tests was standardized for temperature using Equation (1).
J s = J m   ( 1.03 ) T s T m
where Js and Jm represent the standardized and measured fluxes, respectively (L/m2h). Ts and Tm are the standard (i.e., 20 °C) and measured temperatures (°C) of the solution, respectively.
Clean water flux (CWF) values were monitored to stabilize baselines and maintain experiment reproducibility. Clean water was filtered through the membrane at flux steps of 100, 120, and 140 L/m2h for 1 h, in 20 L/m2h increments every 20 min. As the membrane fouls and moves away from the original CWF values, a clean-in-place (CIP) is conducted until it is within 25% of the original conditions. CIP protocol utilized a concentration of NaOH (460 mg/L) and NaOCl (500 mg/L) for 4 h, including two hours of solution recirculation and two hours of soaking [1]. A CWF test was performed between trials to measure the membrane’s permeability (Jsp). The standard flux (Js) (L/m2h) is divided by the differential pressure (ΔP in bar) to obtain the clean membrane permeability. Jsp was calculated using Equation (2).
J s p = J s P  
Chemical Cleaning Experiments: This study examines the combination of surfactant, alkali, and oxidant as a cleaning agent to effectively manage the irreversible fouling of ceramic membranes caused by natural organic matter (NOM), as presented in Table 2. The surfactants utilized in this investigation were Tween 80 and Triton X-100 (Sigma Aldrich, St. Louis, MO, USA). The critical micelle concentration (CMC) values for Tween 80 were reported as 0.015 mM [29] and 0.26 mM Triton X-100 [30]. In addition, the NaOH was obtained from Bioshop with a concentration of 98% w/v, while the NaOCl was acquired from Lavo (6% w/v). For CEB, the chemical solutions were prepared in deionized water by mixing a surfactant, an alkali (NaOH), and an oxidant (NaOCl), and for CIP, a mixture of alkali (NaOH) and an oxidant (NaOCl) was prepared in distilled water and utilized.
The combined chemicals contained in the 3-liter stainless-steel tank were subjected to 1 bar pressure using nitrogen gas. The backwash solution was injected into the membrane with an outside-in configuration at regular intervals of 30 min for 60 s, followed by a DI backwash pulse of 30 s to ensure the removal of surfactants from the membrane system. The cleaning efficacy was determined at the end of the experiment.
Contact angle and surface tension measurements: The wettability of a specific solution was evaluated by measuring the contact angle and surface tension of different cleaning solutions. The measurements were conducted at 22 ± 3 °C, using protocols from [1]. The surface tension (λ) of the cleaning solutions was calculated using Jurin’s law (Equation (3)). Figure 2 displays the contact angle and surface tension measurements of all the solutions.
λ = h × ρ × r 2 c o s ( 90 ° θ )
where λ represents the surface tension of a liquid (N/m), h is the height of the capillary rise (m), ρ is the density of the CEB solution (kg/m3), g is the acceleration due to gravity (m/s2), r is the tube radius (m), and θ (theta) is the contact angle of the cleaning solution. The contact angle was determined by measuring it on a flat and smooth hydrophobic surface utilizing VCA Optima equipment. The measurement of capillary rise involved utilizing a slender stem of a clean glass Pasteur pipet; measurements were replicated seven times.
Carbon Mass Balance: The carbon mass balance across the membrane was determined by multiplying the total organic carbon (TOC) content (measured in mg/L) of the feed, permeate, and backwash solutions by their respective volumes (L). The efficacy of the cleaning method is determined by the quantity of carbon that remains on the membrane; a lesser mass of carbon indicates a more efficient cleaning process. The quantity of carbon present on the membrane was calculated using Equation (4).
T O C R e m = ( T O C f e e d × V f e e d ) ( T O C p e r m × V p e r m ) ( T O C B W × V B W )
Membrane Resistance-In-Series (RIS): To evaluate the membrane fouling, the clean membrane resistance (Km), reversible fouling resistance (Kr) and irreversible fouling resistance (Kir) were calculated. Km was derived from Equation (5) where ΔP represents the change in transmembrane pressure (bar), µ is the dynamic viscosity of water (kg/m·s) and Js is the standard flux (typically 20 °C) (L/m2h).
K m = P μ × J s
The measured flux and TMP from fouling tests were collected, analyzed, and corrected for temperature (Js) (Equation (1)). After temperature adjustment, the resistance in series (RIS) (Equation (5)) model was used to estimate membrane reversible (Kr, m−1), irreversible (Kir, m−1), and total fouling resistances. Kir and Kr were combined to form the total fouling resistance, Kf, where Kf = Kir + Kr, during each filtration cycle. Thus, the overall resistance was expressed as Kt = Km + Kf (in m−1). Reversible and irreversible fouling resistance is determined by averaging four TMP and Js values from the beginning and end of a filtration cycle.
J s = P μ ( K m + K f )
The calculation of the decline of specific flux (%) was performed (Equation (6)) to assess the change in specific flux before and after the filtration test. This calculation employed the specific flux at the beginning of each filtration cycle (Jsp Beg) and the specific flux at the end of the previous filtration cycle (Jsp End) (Equation (7)).
S p e c i f i c   f l u x   d e c l i n e   ( % )   =   J s p B e g J s p E n d J s p B e g × 100

3. Results

3.1. HA and BSA Fouling on Ceramic UF Membrane

Filtration experiments were conducted to evaluate the impact of various cleaning solutions on the removal of adsorbed humic acid and BSA protein from the membrane. The fouling and recovery of HA and BSA using NaOH + NaOCl backwash solutions are shown in Figure 3, where transmembrane pressure (TMP) is compared over time. DI (129.7 kPa) and CEBL (129 kPa) exhibited similar variations in TMP throughout the fouling test, whereas CEBM (86.5 kPa) and CEBH (77 kPa) had significantly greater control over fouling, as evidenced by the smaller changes in TMP for HA feed (Figure 3a). The CEBH and CEBM were effective in controlling the fouling due to the higher chemical concentrations and pH. While testing on BSA (Figure 3b), the low, medium, and high concentrations exhibited comparable fouling at 100 kPa; however, the hydraulic backwash exhibited a 25% increase in fouling and remained operational for merely four filtration cycles due to elevated transmembrane pressure and loss of flux, as BSA presents a more pronounced fouling tendency than HA owing to its hydrophilic nature, negative charge, and reduced molecular size. The overall fouling adsorption of HA was lower than BSA, while HA reached a TMP of 120 kPa by the end of cycle 5, BSA with DI water reached 120 kPa at the end of cycle 2.
In Figure 4a, the overall fouling, as determined by Resistance-In-Series (RIS), indicates HA fouling resistance (Kf) for CEBL was inefficient with only four filtration cycles, while CEBM and CEBH showed superior fouling control compared to CEBL and DI. Conversely, as seen in Figure 4b, the difference increased significantly for BSA, with DI backwash approaching Kf of 170 × 1011 m−1 and CEBL to 80 × 1011 m−1. It was noted that CEBM and CEBH were 8.5 and 4.25 times more in mitigating total fouling due to the higher concentrations that promote stronger interactions with the organic foulants on the membrane surface. CEBM, with moderate chemical concentrations, likely allowed more thorough rinsing, minimizing residual accumulation and better fouling removal compared to high concentrations.
Table 3 demonstrated that CEBL (low concentration) was the least effective, showing a notable 50% reduction in specific flux. The TMP increase for both the feeds exhibited an exponential trend (Figure 3), with a 94% increase for HA and an 89% rise for BSA feed during hydraulic (DI) backwash. However, the volume of BSA feed filtered using CEBL was 1295 mL, roughly 50% less than that filtered by CEBM (medium concentration). Conversely, CEBM consistently exhibited enhanced performance. It produced a 60% reduction in specific flux relative to DI water for both HA and BSA. The largest decreases in specific flux were observed for both DI and CEBL solutions for HA and BSA, respectively. Notably, the CEBM appears to have the lowest decline in specific flux for HA and is similar to CEBH for BSA, indicating that an optimum concentration for CEBs may exist when being employed for fouling control. As seen in Table 3, the transmembrane pressure (TMP) rise was regulated efficiently with the BSA feed in comparison to HA. The control resulted from a decrease in flow rate that stabilized the TMP. However, the specific flux data indicated a significant difference in fouling between the two feeds. The volume of permeate collected over the experiments was comparatively higher for HA than BSA, aside from the CEBM, suggesting that HA fouling was generally more cake-like in structure while BSA may have exhibited a more pore plugging mechanism [31,32,33].

3.2. Removal Efficiency of Surfactant-Enhanced Cleaning Solutions on Ceramic UF Membrane

As the conventional CEB yielded promising results with the initial HA and BSA fouling experiments, this section aims to elucidate further benefits that may be derived from the addition of non-ionic surfactants to the CEB mixture. As shown in Figure 5a, for the HA feed, all concentrations with Tween 80 at CMC performed slightly differently with respect to the fouling control, with CEBTw-M and CEBTw-H showing superior performance with the filtered volume of 9500 L/m2. The contact angle is an essential parameter in controlling fouling, as it directly indicates the surface wettability of the membrane. The incorporation of Tween 80 into the standard cleaning solution resulted in a 20% reduction in the contact angle for CEBTw-M, indicating a significant improvement in hydrophilicity. This enhanced wettability promotes superior foulant elimination and reduces the adhesion of hydrophobic organic substances. When similar backwash solutions were tested on the BSA feed, a different fouling pattern emerged due to the higher fouling propensity of BSA. Of these, only the CEBTw-M had the highest specific volume filtered of 11,000 L/m2. This is shown in the graph plotted in Figure 6a, where the performance of CEBTw-M is well-demarcated with respect to the other concentrations. The outstanding performance resulted from the optimal balance between NaOH and NaOCl concentrations, facilitating effective fouling reduction while maintaining membrane integrity. Whereas higher concentrations (CEBTw-H), despite being theoretically more efficient, had a lower performance, because excessive chemical aggression could have caused changes on the surface of the membrane or even formed compact fouling layers [34].
When Tween 80 was substituted with Triton X-100, two distinct concentrations (CEBTx-L and CEBTx-M) were utilized for both feeds. The experiment on HA feed had a better normalized flux (J’sp) recovery than Tween 80 and when the same was tested on BSA, a drastic difference was seen between the two concentrations, with CEBTx-L having incomplete filtration with an 80% decline in specific flux. The normalized flux for the HA feed (Figure 5b) indicates that CEBTx-M was effective in the fouling control, due to their amphiphilic characteristics and hydrophilic (water-attracting) and lipophilic (oil-attracting) properties (HLB), exhibiting only a 15% reduction in normalized flux (J’sp) compared to a 47% reduction for CEBTx-L. In Figure 6b, the outcomes for the BSA feed showed significant variance, with a 48% difference for CEBTx-M and CEBTx-L, alongside a lower volume filtered. Triton X-100 and Tween 80 perform differently due to their HLB ratios and amphiphilic characteristics. The denser micellar layer formed by Triton X-100, with its lower HLB ratio, controlled flux for humic acid and BSA fouling with inconsistency due to the membrane-solution interaction. Tween 80, with its greater HLB ratio and better hydrophilic characteristics, reduced protein fouling (BSA) by disrupting protein-protein and protein-membrane connections.
Resistance in series (RIS) analysis on the HA feed (Figure 7a) with Tween 80 demonstrated that Kf (Kfouling) values were ≤20 × 1011 m−1, with CEBTw-M and CEBTw-H demonstrating similar resistance patterns with max values nearly 50% of that at CEBTw-L. In comparison, CEBTw-L (low concentration) backwash was inefficient to control BSA fouling, while CEBTw-M and CEBTw-H demonstrated a lower Kf (35 × 1011 m−1) signifying enhanced backwash efficacy. Figure 7b demonstrates that the resistance analysis corresponded with the normalized flow trends, indicating that CEBTw-M had a consistent increase in irreversible fouling, although most of the fouling was reversible. Conversely, CEBTw-H indicated that most of the fouling resistance (Kf) was due to irreversible fouling, underscoring the enhanced cleaning efficacy of CEBTw-M, whereas CEBTw-L was ineffective in managing fouling under these conditions, as it presented the highest fouling resistance (250 × 1011 m−1) and the lowest permeate collection.
A 30% specific flux decline was demonstrated (Table 4) for CEBTw-M on HA feed, while only 6% for CEBTx-M, indicating higher performance with Triton X-100. On the BSA feed, CEBTw-M had a similar result as HA, with a 24% decline while CEBTx-M showed a higher flux decline of 40%, which, despite being higher, was far better when compared to the lower concentration (CEBTx-L) that showed a decline of 79%. The higher decline in the flux of CEBTx-M for BSA is attributed to higher adsorption of protein molecules on the surface due to denser fouling layers compared to humic substances.

3.3. Evaluation of Cleaning Efficiency Across Solutions with Equivalent Concentrations

A comparative analysis of backwash solutions at the mid-level concentrations compared to hydraulic backwash was conducted to confirm their relative efficiency for both HA and BSA feeds. Notably, in all cases, the hydraulic backwash had the lowest recovery performance. In Figure 8, HA CEBTx-M demonstrated a higher normalized flux control than the Tween-enhanced solution, and the lowest specific flux decline (8%), reflecting its overall efficacy in fouling control. For BSA feed CEBM, CEBTw-M, and CEBTx-M solutions achieved similar normalized flux control, with CEBTw-M ultimately outperforming all other solutions with a maximum filtered volume of 11,000 L/m2 (3372 mL), resulting in a filtration increase of 120% compared to hydraulic backwash. As the filtration cycles advanced, the Tween-enhanced solution (CEBTw-M) efficiently mitigated fouling, ultimately surpassing CEBM and CEBTx-M with 9000 L/m2 (2946 mL) and 7500 L/m2 (2267 mL) filtration rates, respectively.
RIS analysis (Figure 9) indicated a superior overall fouling resistance of the Tween 80 enhanced cleaning solution by the end of the trial, relative to other solutions. Significantly, the irreversible fouling of CEBTx-M during the initial cycle surpassed the levels recorded at the end of the CEBM and CEBTw-M cycles, suggesting a greater degree of fouling persistence at the beginning of the cleaning process. This suggests that although Triton X-100 might initially manage fouling effectively, its efficacy over an extended period is hindered by significant irreversible fouling. Consequently, CEBM and Tween 80-enhanced solution (CEBTw-M) proved to be an effective solution, exhibiting 70% superior fouling management compared to hydraulic backwash. The higher emulsifying capabilities of Tween 80, along with its gentle effect on membrane surfaces, may have accounted for the maximum specific volume filtered and effective normalized flux regulation [35]. The RIS analysis for BSA (Figure 9) demonstrated that hydraulic backwash is ineffective in managing protein fouling (170 × 1011 m−1 irreversible fouling), while the incorporation of chemicals like NaOH and NaOCl, which help breakdown organic matter, significantly aids in reducing irreversible fouling (around 20 × 1011 m−1). Traditional chemical cleaning (CEBM) and surfactant-enhanced backwash solutions (CEBTw-M and CEBTx-M) demonstrated comparable effectiveness in controlling irreversible fouling. In addition, surfactant-based solutions improve cleaning performance, which could enhance membrane longevity and operational efficiency in ultrafiltration systems. Further flux recovery and membrane resistance analysis emphasize the importance of surfactant selection for optimal fouling control.

3.4. Reversible and Irreversible Carbon Mass Balance in Wash Waters

Figure 10 illustrates the carbon mass balance through the different stages of the process: permeate, backwash water (reversible) and carbon remaining on membrane (irreversible). The carbon mass balance through the system revealed a greater proportion of irreversible carbon attached to the membrane surface during hydraulic (DI) backwashes, with 56–57% of total carbon retained on the membrane, in contrast to 13–30% with surfactant + CEB solutions. The results depicted that for both HA and BSA feeds, 40% of the NOM was reversible while no more than 20% was found to be irreversible with Tween 80. Significantly, the BSA feed had a higher proportion of foulants remaining on the membrane compared to the HA feed, which is indicative of higher adsorption of NOM particles and greater irreversibility of fouling further confirmed by the RIS fouling values with BSA. All experiments demonstrated a higher percentage of carbon in the permeate, as expected since ultrafiltration membranes achieve a 25–73% reduction in NOM [35]. This indicates a constraint in NOM rejection, impacting the quality of the permeate. The CEBTw-M exhibited comparatively better irreversible fouling to CEBTw-L. The cleaning solutions including Triton X-100 exhibit comparable efficiency on HA while had a 50% higher retention of carbon with CEBTx-L compared to CEBTx-M on BSA fouling. Triton X-100 enhanced solutions possess elevated carbon levels on the membrane, potentially indicating reduced effectiveness relative to Tween-based cleaning solutions.
Overall Tween 80 CEBs appear to be better performing than Triton X-100 with respect to HA and a substantial difference with BSA, respectively. Carbon mass balance aligns in agreement with other analyses, for instance Kf was < for CEBTw-M than Kf with CEBTx-M.

4. Conclusions

This study evaluated the effectiveness of two commercially available non-ionic surfactants (Tween 80 and Triton X100) in conjunction with traditional cleaning solutions to mitigate NOM fouling in a ceramic ultrafiltration membrane utilizing a chemically enhanced backwash. The results demonstrated that NaOH + NaOCl with and without surfactants could outperform a standard hydraulic backwash. The results further indicate that threshold CEB concentrations may exist where higher concentrations do not improve fouling control, indicating the importance of site-specific testing to determine appropriate CEB solution combinations. Key findings were:
  • The lower contact angles of surfactant-enhanced solutions, measuring 53 ± 2° for CEBTw-M and 48 ± 2° for CEBTx-M, compared to 69 ± 2° for conventional cleaning solution (CEBM) and 84 ± 1° for DI water, indicate improved wettability and surface hydrophilicity. Hence, enhancing the cleaning potential by allowing for better penetration and interaction with foulants, resulting in improved fouling control and membrane performance than conventional cleaning solutions and deionized (DI) water.
  • The resistance in the series analysis demonstrated that fouling control was most effective in the order of CEBTw-M > CEBM > CEBTx-M, indicating that CEBTw-M provided the highest reduction in overall fouling.
  • Overall, the irreversibility was lowest for the medium surfactant-enhanced concentrations, where the irreversible fouling retained on membrane with Tween 80-enhanced CEB was 15–21% and Triton X-100-enhanced CEB was 16–30% for HA and BSA as determined by TOC analysis.
  • Among all tested cleaning solutions, CEBTw-M exhibited the highest efficacy and reliability in fouling mitigation for both HA and BSA, establishing it as the optimal choice for efficient membrane cleaning in long-term filtration applications; while CEB with surfactants performed better than a hydraulic backwash alone, HA was overall easier to control than BSA.
Additional research with other types of surfactants should be explored as well alternating or staggered hydraulic backwash combined with CEB solutions is recommended to minimize the usage of chemicals required in controlling fouling within membrane systems.

Author Contributions

N.K. conducted the investigation, collected data, and gave the initial data analysis and interpretation. O.D.B. conceived the research idea and preliminary design of experiments. O.D.B. provided research supervision and guidance. All authors participated in the review and revision process. All authors have read and agreed to the published version of the manuscript.

Funding

This research project was funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) with Fund Number: RGPIN 2019-06645.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Acknowledgments

The authors gratefully acknowledge the financial support provided by the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Civil and Environmental Engineering Department at Carleton University. The authors would like to express their sincere appreciation to the members of Basu’s Reach Group with special thanks to Daanish Singh and Abbas Khursheed for their assistance with experiments and insightful comments.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Alresheedi, M.T.; Barbeau, B.; Basu, O.D. Comparisons of NOM fouling and cleaning of ceramic and polymeric membranes during water treatment. Sep. Purif. Technol. 2019, 209, 452–460. [Google Scholar] [CrossRef]
  2. Wang, R.; Liang, D.; Liu, X.; Fan, W.; Meng, S.; Cai, W. Effect of magnesium ion on polysaccharide fouling. Chem. Eng. J. 2020, 379, 122351. [Google Scholar] [CrossRef]
  3. Guerra, K.; Pellegrino, J.; Drewes, J.E. Impact of operating conditions on permeate flux and process economics for cross flow ceramic membrane ultrafiltration of surface water. Sep. Purif. Technol. 2012, 87, 47–53. [Google Scholar] [CrossRef]
  4. Alresheedi, M.T.; Basu, O.D.; Barbeau, B. Chemical cleaning of ceramic ultrafiltration membranes—Ozone versus conventional cleaning chemicals. Chemosphere 2019, 226, 668–677. [Google Scholar] [CrossRef] [PubMed]
  5. Merlet, R.B.; Pizzoccaro-Zilamy, M.-A.; Nijmeijer, A.; Winnubst, L. Hybrid ceramic membranes for organic solvent nanofiltration: State-of-the-art and challenges. J. Membr. Sci. 2020, 599, 117839. [Google Scholar] [CrossRef]
  6. Gruskevica, K.; Mezule, L. Cleaning Methods for Ceramic Ultrafiltration Membranes Affected by Organic Fouling. Membranes 2021, 11, 131. [Google Scholar] [CrossRef]
  7. Gul, A.; Hruza, J.; Dvorak, L.; Yalcinkaya, F. Chemical Cleaning Process of Polymeric Nanofibrous Membranes. Polymers 2022, 14, 1102. [Google Scholar] [CrossRef] [PubMed]
  8. Regula, C.; Carretier, E.; Wyart, Y.; Gésan-Guiziou, G.; Vincent, A.; Boudot, D.; Moulin, P. Chemical cleaning/disinfection and ageing of organic UF membranes: A review. Water Res. 2014, 56, 325–365. [Google Scholar] [CrossRef]
  9. Aguiar, A.; Andrade, L.; Grossi, L.; Pires, W.; Amaral, M. Acid mine drainage treatment by nanofiltration: A study of membrane fouling, chemical cleaning, and membrane ageing. Sep. Purif. Technol. 2018, 192, 185–195. [Google Scholar] [CrossRef]
  10. Ullah, A.; Tanudjaja, H.J.; Ouda, M.; Hasan, S.W.; Chew, J.W. Membrane fouling mitigation techniques for oily wastewater: A short review. J. Water Process Eng. 2021, 43, 102293. [Google Scholar] [CrossRef]
  11. Wang, Q.; Zeng, H.; Wu, Z.; Cao, J. Impact of sodium hypochlorite cleaning on the surface properties and performance of PVDF membranes. Appl. Surf. Sci. 2018, 428, 289–295. [Google Scholar] [CrossRef]
  12. Wang, Z.; Meng, F.; He, X.; Zhou, Z.; Huang, L.-N.; Liang, S. Optimisation and performance of NaClO-assisted maintenance cleaning for fouling control in membrane bioreactors. Water Res. 2014, 53, 1–11. [Google Scholar] [CrossRef] [PubMed]
  13. Sharifi, A.; Saghravani, S.F.; Ghasemipanah, K.; Dahrazma, B.; Rasekh, B. Evaluation of the performance of air micro-nano bubbles for cleaning in place to reduce the reverse osmosis membrane clogging. Desalination Water Treat. 2024, 320, 100599. [Google Scholar] [CrossRef]
  14. Khan, I.A.; Lee, K.H.; Kim, J.Y.; Lee, J.W.; Kim, J.-O. Effect of preoxidation on fouling mitigation in a low-pressure membrane system with clean-in-place (CIP) treatment. J. Water Process Eng. 2024, 57, 104634. [Google Scholar] [CrossRef]
  15. Gao, T.; Wang, D.; Xia, L.; Zhao, S.; Xu, R.; Zhang, H.; Meng, F.; Zhou, Z.; Chen, J.; Liu, W. Unveiling the residual membrane foulants in full-scale MBR plant after chemically enhanced backwash: Insights into microbe-associated compounds. Desalination 2023, 551, 116421. [Google Scholar] [CrossRef]
  16. Levitsky, I.; Duek, A.; Naim, R.; Arkhangelsky, E.; Gitis, V. Cleaning UF membranes with simple and formulated solutions. Chem. Eng. Sci. 2012, 69, 679–683. [Google Scholar] [CrossRef]
  17. Qiao, Z.; Guo, Y.; Wang, Z.; Hu, G. A chemically enhanced backwash model for predicting the instantaneous transmembrane pressure of flat sheet membranes in constant flow rate mode. J. Membr. Sci. 2023, 666, 121137. [Google Scholar] [CrossRef]
  18. Park, S.; Kang, J.-S.; Lee, J.J.; Vo, T.-K.-Q.; Kim, H.-S. Application of Physical and Chemical Enhanced Backwashing to Reduce Membrane Fouling in the Water Treatment Process Using Ceramic Membranes. Membranes 2018, 8, 110. [Google Scholar] [CrossRef] [PubMed]
  19. Cheng, M.; Zeng, G.; Huang, D.; Yang, C.; Lai, C.; Zhang, C.; Liu, Y. Advantages and challenges of Tween 80 surfactant-enhanced technologies for the remediation of soils contaminated with hydrophobic organic compounds. Chem. Eng. J. 2017, 314, 98–113. [Google Scholar] [CrossRef]
  20. Palanisamy, T.; Tabatabai, S.A.A.; Zhang, T.; Leiknes, T. Role of surfactants in cleaning of PVDF ultrafiltration membranes fouled by emulsified cutting oil. J. Water Process Eng. 2021, 40, 101923. [Google Scholar] [CrossRef]
  21. Bolandi, S.; Ashtiani, F.Z.; Okhovat, A.; Ghandashtani, M.B. The Effects of Surfactant Additives on Properties and Morphologies of Cellulose Acetate Membranes Prepared by Phase Inversion. Theor. Found. Chem. Eng. 2020, 54, 931–939. [Google Scholar] [CrossRef]
  22. Aguirre-Ramírez, M.; Silva-Jiménez, H.; Banat, I.M.; Díaz De Rienzo, M.A. Surfactants: Physicochemical interactions with biological macromolecules. Biotechnol. Lett. 2021, 43, 523–535. [Google Scholar] [CrossRef]
  23. Alves, L.; Magalhães, S.; Esteves, C.; Sebastião, M.; Antunes, F. Synergisms between Surfactants, Polymers, and Alcohols to Improve the Foamability of Mixed Systems. J 2024, 7, 169–182. [Google Scholar] [CrossRef]
  24. Trentin, A.; Güell, C.; Gelaw, T.; de Lamo, S.; Ferrando, M. Cleaning protocols for organic microfiltration membranes used in premix membrane emulsification. Sep. Purif. Technol. 2012, 88, 70–78. [Google Scholar] [CrossRef]
  25. Nagasawa, H.; Omura, T.; Asai, T.; Kanezashi, M.; Tsuru, T. Filtration of surfactant-stabilized oil-in-water emulsions with porous ceramic membranes: Effects of membrane pore size and surface charge on fouling behavior. J. Membr. Sci. 2020, 610, 118210. [Google Scholar] [CrossRef]
  26. Lv, Z.; Zhang, S.; Jiao, W.; Zuo, X.; Zhang, Y.; Liu, Y. High-efficiency cleaning technology and lifespan prediction for the ceramic membrane treating secondary treated effluent. Water Sci. Technol. 2023, 88, 321–338. [Google Scholar] [CrossRef]
  27. Sun, W.; Liu, W.; Dai, S.; Yang, T.; Duan, H.; Liu, W. Effect of Tween 80 on flotation separation of magnesite and dolomite using NaOL as the collector. J. Mol. Liq. 2020, 315, 113712. [Google Scholar] [CrossRef]
  28. Johnson, M. Détergents: Triton X-100, Tween-20, et autres (G. Colette, Trans.). Mater. Methods 2013, 3, 163. [Google Scholar] [CrossRef]
  29. Al-Koofee, D. Effect of Temperature Changes on Critical Micelle Concentration for Tween Series Surfactant. Glob. J. Sci. Front. Res. Chem. 2013. Available online: https://www.researchgate.net/publication/237841643_Effect_of_Temperature_Changes_on_Critical_Micelle_Concentration_for_Tween_Series_Surfactant (accessed on 27 March 2023).
  30. Karimi, M.A.; Mozaheb, M.A.; Hatefi-Mehrjardi, A.; Tavallali, H.; Attaran, A.M.; Shamsi, R. A new simple method for determining the critical micelle concentration of surfactants using surface plasmon resonance of silver nanoparticles. J. Anal. Sci. Technol. 2015, 6, 1. [Google Scholar] [CrossRef]
  31. Sun, Y.; Zhu, K.; Khan, B.; Du, X.; Hou, L.; Zhao, S.; Li, P.; Liu, S.; Song, P.; Zhang, H.; et al. Experimental Study of Fouling Behavior of Main Substances (BSA, HA, SA) of Dissolved Organic Matter (DOM) in Dead-end Membrane Filtration. IOP Conf. Ser. Mater. Sci. Eng. 2018, 301, 012031. [Google Scholar] [CrossRef]
  32. Liu, Y.; Wang, Z.; Xu, M.; Qi, F.; Li, C.; Sun, D.; Nan, J.; Li, W.; Guan, X.; Ikhlaq, A. Unveiling the role of cake layer in coagulation-ultrafiltration on membrane fouling and emerging application as dynamic membrane before ultrafiltration. Sep. Purif. Technol. 2024, 350, 127932. [Google Scholar] [CrossRef]
  33. Zhong, C.; Wang, Z. A three-mechanism (intermediate pore blocking, standard pore blocking and cake filtration) model considering correction of effective filtration area. J. Environ. Chem. Eng. 2024, 12, 113654. [Google Scholar] [CrossRef]
  34. Kim, H.; Shim, I.; Zhan, M. Chemical Enhanced Backwashing for Controlling Organic Fouling in Drinking Water Treatment Using a Novel Hollow-Fiber Polyacrylonitrile Nanofiltration Membrane. Appl. Sci. 2021, 11, 6764. [Google Scholar] [CrossRef]
  35. Marais, S.S.; Ncube, E.J.; Msagati, T.A.M.; Mamba, B.B.; Nkambule, T.T.I. Comparison of natural organic matter removal by ultrafiltration, granular activated carbon filtration and full scale conventional water treatment. J. Environ. Chem. Eng. 2018, 6, 6282–6289. [Google Scholar] [CrossRef]
Figure 1. Bench-scale membrane filtration system, where V1 to V6 are the labels for valves to control the flow through the setup. PT stands for pressure transducer.
Figure 1. Bench-scale membrane filtration system, where V1 to V6 are the labels for valves to control the flow through the setup. PT stands for pressure transducer.
Membranes 15 00073 g001
Figure 2. Contact angle (°) and surface tension (mN/m) of different cleaning solutions.
Figure 2. Contact angle (°) and surface tension (mN/m) of different cleaning solutions.
Membranes 15 00073 g002
Figure 3. Transmembrane pressure (TMP) over time for (a) HA feed and (b) BSA feed. The progressive rise in TMP illustrates the accumulation of fouling on the membrane, with higher TMP values indicating increased resistance due to fouling severity.
Figure 3. Transmembrane pressure (TMP) over time for (a) HA feed and (b) BSA feed. The progressive rise in TMP illustrates the accumulation of fouling on the membrane, with higher TMP values indicating increased resistance due to fouling severity.
Membranes 15 00073 g003
Figure 4. RIS model comparison for (a) HA and (b) BSA feed with cleaning solutions, higher values indicate greater resistance corresponding to severe fouling. No data indicate the experiment halted due to excessive fouling and membrane pore blockage.
Figure 4. RIS model comparison for (a) HA and (b) BSA feed with cleaning solutions, higher values indicate greater resistance corresponding to severe fouling. No data indicate the experiment halted due to excessive fouling and membrane pore blockage.
Membranes 15 00073 g004
Figure 5. Normalized flux vs. specific volume filtered (Vsp) for HA feed, comparing the impact of varying concentrations with the addition of (a) Tween and (b) Triton. Vsp is the filtered water volume per membrane area. Experiments were run for equivalent time periods, thus lower Vsp indicates more membrane fouling.
Figure 5. Normalized flux vs. specific volume filtered (Vsp) for HA feed, comparing the impact of varying concentrations with the addition of (a) Tween and (b) Triton. Vsp is the filtered water volume per membrane area. Experiments were run for equivalent time periods, thus lower Vsp indicates more membrane fouling.
Membranes 15 00073 g005
Figure 6. Normalized flux vs. specific volume filtered for BSA feed, comparing the impact of varying concentrations with the addition of (a) Tween and (b) Triton. Vsp is the filtered water volume per membrane area. Experiments were run for equivalent time periods, thus lower Vsp indicates more membrane fouling.
Figure 6. Normalized flux vs. specific volume filtered for BSA feed, comparing the impact of varying concentrations with the addition of (a) Tween and (b) Triton. Vsp is the filtered water volume per membrane area. Experiments were run for equivalent time periods, thus lower Vsp indicates more membrane fouling.
Membranes 15 00073 g006
Figure 7. RIS model comparison for (a) HA and (b) BSA feeds with the addition of surfactants, higher values indicate greater resistance corresponding to severe fouling. No data indicates the experiment halted due to excessive fouling and membrane pore blockage.
Figure 7. RIS model comparison for (a) HA and (b) BSA feeds with the addition of surfactants, higher values indicate greater resistance corresponding to severe fouling. No data indicates the experiment halted due to excessive fouling and membrane pore blockage.
Membranes 15 00073 g007
Figure 8. Normalized flux (J’sp) over time, comparing the impact of different backwash solutions on (a) HA and (b) BSA. The progressive decline in normalized flux illustrates the accumulation of fouling on the membrane, with lower J’sp values indicating increased resistance due to fouling severity.
Figure 8. Normalized flux (J’sp) over time, comparing the impact of different backwash solutions on (a) HA and (b) BSA. The progressive decline in normalized flux illustrates the accumulation of fouling on the membrane, with lower J’sp values indicating increased resistance due to fouling severity.
Membranes 15 00073 g008
Figure 9. Cleaning efficiency based on reversible and irreversible fouling resistance for various backwash cleaning solutions: (a) HA feed (b) BSA feed, in comparison to hydraulic backwash. No data indicates the experiment halted due to excessive fouling and membrane pore blockage.
Figure 9. Cleaning efficiency based on reversible and irreversible fouling resistance for various backwash cleaning solutions: (a) HA feed (b) BSA feed, in comparison to hydraulic backwash. No data indicates the experiment halted due to excessive fouling and membrane pore blockage.
Membranes 15 00073 g009
Figure 10. Distribution of carbon mass balance (%) categorized as influent, reversible (carbon in backwash water), irreversible (retained on the membrane), and permeate.
Figure 10. Distribution of carbon mass balance (%) categorized as influent, reversible (carbon in backwash water), irreversible (retained on the membrane), and permeate.
Membranes 15 00073 g010
Table 1. Characteristics of ceramic UF membrane.
Table 1. Characteristics of ceramic UF membrane.
CategoriesContents
Membrane TypeUF ceramic membrane
MaterialCeramic
Support MaterialAl2O3
Surface MaterialZrO2
Area95 cm2
Nominal pore size0.01 µm
Length and Internal diameter50 cm and 0.6 cm
MWCO25 kDa
Table 2. CEB and CIP solutions with their concentration.
Table 2. CEB and CIP solutions with their concentration.
CEB Solution *ConcentrationpHAbbr.Feed Solutions
Deionized Water-5.4 ± 0.2-HA, BSA
NaOH + NaOCl90 mg/L + 25 mg/L10 ± 0.2CEBLHA, BSA
NaOH + NaOCl230 mg/L + 250 mg/L10.5 ± 0.2CEBMHA, BSA
NaOH + NaOCl460 mg/L + 500 mg/L12.5 ± 0.2CEBHHA, BSA
Tween 80 + NaOH + NaOCl0.015 mM + 90 mg/L + 25 mg/L11.5 ± 0.2CEBTw-LHA, BSA
Tween 80 + NaOH + NaOCl0.015 mM + 230 mg/L + 250 mg/L12 ± 0.2CEBTw-MHA, BSA
Tween 80 + NaOH + NaOCl0.015 mM + 460 mg/L + 500 mg/L12.5 ± 0.2CEBTw-HHA, BSA
Triton X-100 + NaOH + NaOCl0.26 mM + 90 mg/L + 25 mg/L10 ± 0.2CEBTx-LHA, BSA
Triton X-100 + NaOH + NaOCl0.26 mM + 230 mg/L + 250 mg/L12.5 ± 0.2CEBTx-MHA, BSA
CIP SolutionsConcentrationpH
NaOH + NaOCl460 mg/L + 500 mg/L12.1 ± 0.2-
* NaOCl is reported as mg/L of Cl2; HA = humic acid, BSA = bovine albumin serum.
Table 3. Volume filtered, SFR, and TMP with cleaning solution and foulant type.
Table 3. Volume filtered, SFR, and TMP with cleaning solution and foulant type.
BackwashTMP (kPa)Jsp Beg (L/m2h /KPa)Jsp End (L/m2h /KPa)Volume
Permeate Collected (mL)
%Spec Flux Decline%TMP Rise
Humic Acid (HA)
DI127.71.4390.6627955494
CEBL127.61.3790.68929165085
CEBM85.11.4071.12228682023
CEBH76.51.8141.22428073355
Protein (BSA)
DI128.91.3590.28415317989
CEBL106.10.930.416405735
CEBM104.01.2340.88429462832
CEBH96.80.7760.56322512711
Table 4. Volume filtered, SFR, and TMP for surfactant-enhanced cleaning solutions.
Table 4. Volume filtered, SFR, and TMP for surfactant-enhanced cleaning solutions.
Backwash
Composition
TMP (kPa) Jsp Beg (LMH/kPa) Jsp End (LMH/kPa) Volume
Permeate Collected (mL)
%Spec Flux Decline %TMP Rise
Humic Acid (HA)
Tween 80 + NaOH + NaOCl (CEB)
CEBLTw100.00 1.379 0.6892498 50 67
CEBMTw83.77 1.618 1.127 2881 30 21
CEBHTw85.77 1.353 1.121 2984 17 43
Triton X100 + NaOH + NaOCl (CEB)
CEBLTx100.66 1.297 0.793 2734 39 43
CEBMTx88.46 0.948 0.894 2856 6 8
Protein (BSA)
Tween 80 + NaOH + NaOCl (CEB)
CEBLTw131.00 1.156 0.127 1299 89 58
CEBMTw103.42 1.048 0.793 3372 24 15
CEBHTw95.22 0.92 0.515 2023 44 15
Triton X100 + NaOH + NaOCl (CEB)
CEBLTx116.87 1.036 0.213 1414 79 32
CEBMTx95.91 1.216 0.727 2267 40 29
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Kallapalli, N.; Basu, O.D. Surfactant-Enhanced Cleaning Solutions for Ceramic Membranes: A Comparative Study on Humic Acid and BSA Fouling. Membranes 2025, 15, 73. https://doi.org/10.3390/membranes15030073

AMA Style

Kallapalli N, Basu OD. Surfactant-Enhanced Cleaning Solutions for Ceramic Membranes: A Comparative Study on Humic Acid and BSA Fouling. Membranes. 2025; 15(3):73. https://doi.org/10.3390/membranes15030073

Chicago/Turabian Style

Kallapalli, Navneet, and Onita D. Basu. 2025. "Surfactant-Enhanced Cleaning Solutions for Ceramic Membranes: A Comparative Study on Humic Acid and BSA Fouling" Membranes 15, no. 3: 73. https://doi.org/10.3390/membranes15030073

APA Style

Kallapalli, N., & Basu, O. D. (2025). Surfactant-Enhanced Cleaning Solutions for Ceramic Membranes: A Comparative Study on Humic Acid and BSA Fouling. Membranes, 15(3), 73. https://doi.org/10.3390/membranes15030073

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop