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Article

A Novel Manganese-Rich Pokeweed Biochar for Highly Efficient Adsorption of Heavy Metals from Wastewater: Performance, Mechanisms, and Potential Risk Analysis

1
College of Biological Resources and Environmental Science, Jishou University, Jishou 416000, China
2
College of Resources and Environment, Hunan Agricultural University, Changsha 410128, China
3
Department of Soil Science and Agricultural Chemistry, Engineering Polytechnic School, Campus University s/n, University Santiago de Compostela, 27002 Lugo, Spain
*
Author to whom correspondence should be addressed.
Processes 2021, 9(7), 1209; https://doi.org/10.3390/pr9071209
Submission received: 12 June 2021 / Revised: 7 July 2021 / Accepted: 9 July 2021 / Published: 14 July 2021
(This article belongs to the Special Issue Redesign Processes in the Age of the Fourth Industrial Revolution)

Abstract

:
A novel manganese-rich pokeweed biochar was prepared at different temperatures from manganese-rich pokeweed plants collected at manganese tailings, resulting in materials identified as BC300, BC400, and BC500. The synthetized biochar materials were investigated as regards their potential for removing Cu2+, Pb2+, and Cd2+, specifically in terms of adsorption performances, adsorption kinetics, adsorption isotherms, and potential environmental pollution risk. The results showed that the sorption process fitted well to the pseudo-second-order kinetic and Langmuir models, and the maximum adsorption capacities of BC500 were 246, 326, and 310 mg·g−1 for Cu2+, Pb2+, and Cd2+ respectively. The physicochemical characteristics of the biochars, and the adsorption mechanisms, were revealed by using scanning electron microscopy-energy spectrometer, elemental analysis, Brunauer–Emmett–Teller techniques, X-ray diffraction, X-ray photoelectron spectroscopy, and Fourier transform infrared spectroscopy. The sorption mechanism of these three heavy metal ions onto biochars included ion exchange, electrostatic adsorption, chemical adsorption, and precipitation. Besides, the potential pollution risk of manganese-rich pokeweed biochars was significantly reduced after pyrolysis. Therefore, it is feasible to transform manganese-rich pokeweed biomass into manganese-rich pokeweed biochar with potential for heavy metals removal, showing high adsorption capacity, recyclability, and low environmental pollution.

1. Introduction

Environmental pollution caused by heavy metals or their compounds is mainly driven by mining and dressing, electroplating, smelting, and a variety of uses of heavy metal products [1,2]. Some industrial enterprises discharge, indirectly or directly, untreated heavy metal-contained wastewater into the environment, leading to severe water pollution [3,4,5]. Manganese is associated with an abundant supply of mineral ores in Hunan Province (China), causing the generation of many Mn tailings wasteland in the long-term mining and smelting process. Due to poor management, some heavy metals (e.g., Zn, Cu, Cd, and Pb) present in the left lands around the manganese ore area enter the surrounding water (surface water and groundwater), or reach soil, resulting from washing and dissolution by rainwater. These facts suppose high risks of damaging the safety of agriculture and animal husbandry production, as well as for human and environmental health [6,7].
Cu, Pb, and Cd are the most common heavy metals presenting toxicity. Once they enter the human body via drinking, eating, breathing or via direct contact, they will deposit and accumulate, with high risks of causing significant damage to the normal function of the body [8,9]. And once threshold levels are exceeded, it is easy to cause gene mutations and affect cell inheritance. In some cases, it could produce teratosis or induce cancer [10,11].
At the same time, these heavy metals can penetrate the soil environment under the action of water flow. The roots of plants absorb nutrients from the soil, as well as the heavy metals contained in the ground. The increased levels of heavy metals will affect the growth and development of plants [12].
Overall, it is clear that there is a need for performing an appropriate treatment of wastewater containing heavy metals before being discharged into the environment.
The methods for treating heavy metal in wastewater include flocculation/precipitation, oxidation/reduction, ion exchange, membrane separation, and adsorption. However, some of these methods are not always suitable for removing heavy metals from wastewater due to expensive equipment, high operating costs, and high maintenance costs [13,14,15].
The adsorption method has attracted the attention of researchers all over the world because of its simple operation, relatively low cost, and high efficiency and selectivity [16,17]. When adsorption is used to remove heavy metals from wastewater, its efficiency mainly depends on the choice of the adsorbents, such as biosorbents, polymer fiber, oxide minerals, activated carbon [18,19], and biochar [20,21], which need to have a capacity to effectively adsorb the heavy metals present in wastewater.
Biochar is a relatively novel, low-cost, and carbon-rich porous material, prepared by pyrolysis of biomass in oxygen-deficient environments [22,23]. It is featured with a large specific surface area, strong adsorption capacity, and does caus secondary pollution [24,25]. Biochar has high capacity for the adsorption of heavy metal ions in the environment. The metallic mineral components in biomass (such as calcium, potassium, and other) facilitate the production of biochar and the formation of void structure, thereby enhancing its physical adsorption potential [26]. Especially in recent years, biomass containing heavy metals has been converted into biochar by pyrolysis under anaerobic conditions in an increasing number of research experiments. It is to be noted that the biomass containing heavy metals can be reduced to the maximum extent, effectively reducing the leaching and bioavailability of these heavy metals [27]. Also relevant, the production of toxic and harmful substances (polycyclic aromatic hydrocarbons, dioxins, etc.), as well as greenhouse gases generated in the traditional incineration process, can be effectively avoided. In fact, this is a common method used for the disposal of plant wastes containing heavy metals [28,29].
To achieve a higher adsorption capacity of biochar, different modification methods have been considered. For example, Ying et al. [30] used magnesium (Mg) nutrient solution to cultivate tomato plants for preparing a new type of magnesium-rich biochar. The experimental results showed that the obtained biochar had a Mg(OH)2 and MgO particles-rich surface, which significantly improved its capacity for adsorption of phosphorus (P) in wastewater. According to Zhou et al. [31], a ferromanganese binary oxide-biochar was prepared by means of an impregnation/sintering method for adsorption of Cu2+ and Cd2+. A manganese salt solution (MnCl2, KMnO4, etc.) with potential for modifying biomass could be used to load MnO particles on the surface of biochar materials through high-temperature pyrolysis. This would help to achieve a significant improvement of biochar composite materials in terms of the number of functional groups, void structure, specific surface area, and adsorption capacity [32,33]. These studies showed that the adsorption capacity of these biochars prepared by modification methods dramatically improved, thereby clearly increasing the efficiency in the removal of heavy metals.
One of the plants with potential for being used in the elaboration of biochar is Phytolacca acinosa, which in fact was used as the raw material to prepare biochar in the current study. It is a perennial stout herbaceous plant with a height of 0.5–1.5 m and a strong adaptability. Numerous studies have shown that this plant has strong enrichment and tolerance to manganese in soil media [34]. Mn accumulation in its leaves can exceed 19 g·kg−1, with an average of 14 g·kg−1. It was the first Mn hyperaccumulator discovered in China [35]. Phytolacca acinosa does not show the biological defects of many hyperaccumulators (small size, low biomass, slow growth rate, long growth cycle). It has many advantages such as good adaptability, strong fecundity, and wide geographical distribution. Besides, it should be noted that the specific plant specimens used in this experiment came from a manganese mining area, which is interesting in order to investigate if the overall procedure could aid to solve the problem of treatment and disposal of Phytolacca acinosa containing heavy metals. In addition, converting these plants into biochar could be useful to achieve the adsorption of heavy metals present in wastewater.
In view of that, in this work, manganese-rich pokeweed biomass was used as the raw material for producing novel biochar materials at different temperatures (300, 400, and 500 °C) under anaerobic pyrolysis conditions. Then, the manganese-rich pokeweed biochars were investigated as regards their potential for removing Cu2+, Pb2+, and Cd2+ from wastewater, this is in terms of adsorption performance, recyclability, and environmental pollution risks. This was carried out performing experiments varying pH, time, temperature, dosage, concentration, and circulation, also focusing on potential risk analysis. Moreover, parameters relevant for kinetics and adsorption isotherms models were also investigated. Finally, the characterization of the biochars before and after adsorption, as well as the adsorption mechanism, were also studied by means of FTIR, SEM-EDS, BET, elemental analysis, and XRD and XPS techniques. The results of the study could be of environmental relevance, especially for recycling of biomass and removal of heavy metals from polluted media.

2. Materials and Methods

2.1. Chemicals and Raw Materials

The raw materials used for manufacturing biochars in this study were pokeweed plants from the manganese mining area of Xiangxi Prefecture, Hunan province, China. The chemicals used in the experiments, including NaOH (analytical reagent), MgCl2 (analytical reagent), CH3COONH4 (analytical reagent), HONH3CI (analytical reagent), and CH3COOH (analytical reagent) were obtained from Guangdong Xilong Scientific Co. Ltd. (China). Pb(NO3)2 (analytical reagent), Cu(NO3)2·3H2O (analytical reagent) Cd(NO3)2·4H2O (analytical reagent), HNO3 (analytical reagent), NaOAc (analytical reagent), and 30% H2O2 (analytical reagent) were obtained from Chengdu Jinshan Chemical Reagent Co., Ltd. (China). All the solutions including reagents were prepared with ultrapure water.

2.2. Preparation of the Biochar

Peeled manganese-rich pokeweed was used as biomass raw material, which was washed, dried, crushed, and passed through a 100-mesh sieve. A specific amount of sieved biomass was weighed and then placed in a vacuum tube furnace and heated at a rate of 5 °C min−1 under N2. Afterwards, it was heated to 300 °C, 400 °C, or 500 °C and kept for 2 h. After being cooled to room temperature, it was washed with ultrapure water and dried to obtain the manganese-rich pokeweed biochar materials (designed as BC300, BC400, and BC500). The number (300–500) indicates the pyrolysis temperature during the preparation.

2.3. Characterization

The surface morphology changes of the BC300, BC400, and BC500 biochar materials used in this study were observed by means of a Scanning electron microscopy-energy spectrometer (Quanta FEG 250, USA). The specific surface area and pore structure of the BC300, BC400, and BC500 materials were determined by using Brunauer–Emmett–Teller methodology (NOVA4200e, USA). The C, N, H, S, and O elemental contents for the BC300, BC400, and BC500 biochar samples were measured by using an elemental analyzer (EAICE-440, USA). The changes in the surface functional groups of the BC300, BC400, and BC500 materials before and after adsorption were determined by using Fourier transform infrared spectroscopy (Nicolet 5700 Spectrometer, USA). The changes in the crystallinity of the BC300, BC400, and BC500 biochars before and after the adsorption of the heavy metals were determined by using X-ray diffraction (XRD-6100, Japan). The chemical composition of the surfaces of the BC300, BC400, and BC500 biochars was determined by using X-ray photoelectron spectroscopy (ESCALAB 250Xi, USA).

2.4. Adsorption Experiments

We performed every and each adsorption experiment in a constant temperature oscillation incubator at 160 rpm, with triplicate samples in each group, where the average values were obtained for analysis and RSD of less than 5%. The concentration of heavy metals before and after adsorption was determined by ICP-OES (Agilent 5800, USA). The calculation formulas of the adsorption capacities and removal rate of biochars towards to heavy metals are as follows:
Q e = C 0 C e × V M
R = C 0 C e C 0 × 100 %
where Qe is adsorption capacity of biochar (mg·g−1); C0 and Ce are the initial and residual concentration of heavy metal remaining in solution (mg·L−1), respectively; V is the solution volume (mL); M is the mass of biochar (g); and R (%) is the heavy metal removal rate from solution.
Amounts of 15 mg of BC300, BC400, and BC500, as well as of NM500 and activated carbon, were added to 50 mL Erlenmeyer flask, and each of them received 50 mL of Cu2+, Pb2+, or Cd2+ solutions (100 mg·L−1), respectively. Under the same adsorption parameters, we compared the difference in the adsorption capacity among the tested materials.
In the range of pH 2–6, we added 5 mg of BC300, BC400, and BC500 and 50 mL of Cu2+, Pb2+, and Cd2+ solutions (100 mg·L−1) to a 50 mL Erlenmeyer flask. Then, a small amount of NaOH or HNO3 (0.1 mol·L−1) was dropped to adjust the pH.
In addition, we added 5 mg of BC300, BC400, and BC500 and 50 mL of Cu2+, Pb2+, and Cd2+ solutions (100 mg·L−1) to a 50 mL Erlenmeyer flask, and oscillated at the optimal pH. Then we took aliquots at the corresponding reaction time (0.25, 0.5, 1, 2, 3, 6, 8, 10, 12, 18, 24, and 36 h). To analyze the adsorption mechanism of Cu2+, Pb2+, and Cd2+ on biochars, we used the pseudo-first-order (PFO) and the pseudo-second-order (PSO) kinetic models. The model formulas are as follows:
q t = q e 1 e k 1 t
q t = k 2 q e 2 t 1 + k 2 q e t
where qe and qt are the adsorption capacities (mg·g−1) of biochars at equilibrium and at time t, respectively, and k1 (min−1) and k2 (g mg−1·min−1) are the rate constants at PFO and PSO, respectively.
At the optimal pH and reaction time, we added 5 mg of BC300, BC400, and BC500, and 50 mL of Cu2+, Pb2+, and Cd2+ solutions (100 mg·L−1) to a 50 mL Erlenmeyer flask, and oscillated at different temperatures (15, 20, 25, 30, and 35 °C).
Under the optimum pH, reaction time and reaction temperature, we added 5, 10, 15, 20, 25, and 30 mg of BC300, BC400, and BC500 respectively, and 50 mL of Cu2+, Pb2+, and Cd2+ solutions (100 mg·L−1) to a 50 mL Erlenmeyer flask, and then oscillated.
Under the optimum pH, reaction time, reaction temperature, and dosage, we added 50 mL of Cu2+, Pb2+, and Cd2+ solutions with concentrations of 25, 50, 100, 150, 200, 300, and 400 mg·L−1 respectively, to a 50 mL Erlenmeyer flask, and then oscillated. The adsorption mechanism of Cu2+, Pb2+, and Cd2+ on biochars was analyzed using the Langmuir model and the Freundlich model. The model formulas are as follows:
q e = K L q m C e 1 + K L C e
q e = K F C e 1 / n
where qe and Ce are the adsorption capacity of biochar at equilibrium (mg·g−1) and the solution concentration at equilibrium (mg·L−1), respectively; qm is the biochar maximum adsorption capacity (mg·g−1); KL (L·mg−1) and KF ((mg·g−1) (mg·L−1)−n) are the adsorption constants of Langmuir and Freundlich, respectively; and n is an indicator of the adsorption intensity and heterogenicity.
The manganese-rich pokeweed biochars with the best comprehensive performance were taken as the representative material. The study was carried out for four consecutive cycles under the best adsorption parameters. After each cycle, the adsorbent was regenerated by means of H2SO4 or NaOH (0.1 mol·L−1), washed repeatedly with deionized water, and dried for later use.

2.5. Potential Risk Analysis

The Tessier chemical sequence extraction method was used to analyze the presence of heavy metals in manganese-rich pokeweed biomass and manganese-rich pokeweed biochar [36,37]. And the content of Mn, Cu, Zn, and Pb in the sample was determined by ICP-OES analysis. Finally, we employed the Hakanson heavy metal risk assessment index in evaluating the potential pollution risk of the heavy metals in the manganese-rich pokeweed biomass and manganese-rich pokeweed biochars. The formula is as follows:
R I = E r = T r × C f = T f × C i ÷ C n
RI is the potential ecological risk index; Er represents the potential ecological index of a single heavy metal; Cf represents the pollution factor; and Ci and Cn are the transferable part and the stable part of the distribution of the heavy metals, respectively.

3. Results

3.1. Characterization of the Materials

3.1.1. FTIR Analyses

Figure 1 shows the functional groups on the surface of the manganese-rich pokeweed biochars, in terms of the type and number, which were analyzed by means of FTIR. The adsorption peaks near 3418 cm−1 and 2925 cm−1 were -OH stretching vibration peaks, indicating the presence of water molecules and hydroxyl groups on the surface of the biochars. The adsorption peaks near 1618 cm−1 to 1594 cm−1 and 1430 cm−1 were due to the vibration of C=O, indicating that there might be carbonyl groups on the surface of the biochars. The adsorption peaks ranging from 879 cm−1 to 779 cm−1 might be caused by C-H bending. The adsorption peak near 517 cm−1 indicated the adsorption peak of the Mn-O bond bending vibration in MnOx, which proved the existence of Mn in the material. According to the analysis of the infrared spectroscopy, we found that the increase in the pyrolysis temperature caused some characteristic peaks of the biochars to shift or disappear, and it should be noted that the presence of abundant surface functional groups can improve the capacity of the manganese-rich pokeweed biochars as regards adsorption of the heavy metal ions [38].

3.1.2. SEM-EDS Analyses

As shown in Figure 2, SEM-EDS was used to analyze the surface topography and basic composition of the BC300, BC400, and BC500 biochar materials. From the SEM images, it can be observed that the BC300, BC400, and BC500 biochars had a fibrous structure, uneven pores, and particles on the surface before adsorption [39]. However, the particulate matter may be MnOx. After the adsorption of Pb2+ and Cd2+, the BC500 biochar showed that the surface particulate matter increased significantly in number, possibly due to compound precipitation of Pb2+ and Cd2+. The signal peak of Mn could be observed from the EDS spectrum, which also proved the existence of Mn on the surface of the raw materials. The quantitative presence of Mn in the BC300, BC400, and BC500 materials before adsorption was 7.26%, 6.91% and 7.61%, respectively, as noted previously [40]. After the adsorption, Cu2+, Pb2+, and Cd2+ signal peaks were observed in the corresponding EDS spectra, indicating successful adsorption of the heavy metals onto the BC500 biochar.

3.1.3. BET Results and Elemental Analyses

Table 1 shows data on pore structure parameters and specific surface area for the BC300, BC400, and BC500 biochars. Comparing some parameters, it was found that since the pyrolysis temperature rose, the surface area and pore size of the biochars increased to different degrees, indicating a certain impact of the pyrolysis temperature in promoting the surface area and pore size of the biochars. However, the fact that the surface of the BC300, BC400, and BC500 materials was loaded with a certain amount of Mn might cause a reduction in the surface area and pore size values.
The element composition of the BC300, BC400, and BC500 materials is shown in Table 2, indicating that as the pyrolysis temperature rose, the content of the C element continued to increase, while the content of the N, H, and O elements decreased, to different degrees. Besides, the H/C ratio of the BC300, BC400, and BC500 materials constantly diminished, which indicates that the increase in the pyrolysis temperature could promote the carbonization of the biochars and contribute to a higher aromaticity. At the same time, the O/C ratio of all three materials also gradually decreased, which indicates that the polarity of the biochars gradually decreased with the increase in the pyrolysis temperature. By comparing the elemental compositions among BC300, BC400, and BC500, it was found that BC500 had a higher content of the C element and aromaticity, but with the lowest polarity, which was more conducive to the adsorption of the heavy metals [41].

3.1.4. XRD Analyses

Figure 3 shows the XRD patterns of the BC300, BC400, and BC500 biochars, as well as of the BC500 biochar after the adsorption of Cu2+, Pb2+, and Cd2+. Such patterns showed that BC300, BC400, and BC500 all had strong diffraction peaks at 2θ = 30.067, which corresponded to the typical diffraction peaks of MnO2 [40]. As the pyrolysis temperature went up, the diffraction peaks of MnO2 increased, to different degrees, indicating a major effect of the pyrolysis temperature on this specific peak [42,43]. After the BC500 adsorbed Cu2+, Pb2+, and Cd2+, the diffraction peaks of MnO2 showed different degrees of weakening, with no new peaks appearing after the adsorption of Cu2+, while new diffraction peaks corresponding to Pb3(CO3)2(OH)2, PbCO3, and CdCO3 were detected after the adsorption of Pb2+ and Cd2+, respectively. This indicates that precipitation is a consistent as sorption mechanism for Pb2+ and Cd2+ retention onto BC500, which is coherent with the fine particles appearing in the SEM image after the adsorption of these last two metals [38,43].

3.1.5. XPS Analyses

Figure 4 shows the XPS patterns of the BC300, BC400, and BC500 biochars before and after the adsorption of Cu2+, Pb2+, and Cd2+. As presented in Figure 4a, the carbon and oxygen functional groups changed on the biochar surface before and after adsorption in terms of the binding energy, which indicates the importance of these functional groups in the process of adsorption of the heavy metals [44]. After Cu2+, Pd2+ and Cd2+ were adsorbed onto BC500, and peaks corresponding to Cu2p3, Pb4f, and Cd3d were detected, indicating that the biochars had successfully adsorbed the heavy metals. As shown in Figure 4b, C 1s spectrum, the three peaks corresponding to BC300, BC400, and BC500 at binding energies of 284.8, 286.3, and 288.2 ev were C=C, C-O, and C=O. However, there were almost no changes in the peak positions, which is similar to other materials in previous works [45]. By comparing the BC500 spectra after adsorption, we found that the peak areas of C=C, C-O, and C=O changed significantly, which indicates the reaction of the functional groups with heavy metals on the surface of the biochars [31,46]. As shown in Figure 4c, Mn2p spectrum, the binding energies of BC300, BC400, and BC500 at 654.18 ev and 642.33 ev corresponded to the characteristic peaks of Mn2p3/2 and Mn2p1/2 in MnO2, respectively. The binding energy 645.13 ev corresponded to the characteristic peaks of Mn2p3/2 in MnO or Mn2O3, which indicates that Mn was mainly MnO2 in the manganese-rich pokeweed biochars [47].

3.2. Adsorption Experiments

3.2.1. The Effect of pH

Biochars are significantly affected by the solution pH in terms of the adsorption capacity [48]. As shown in Figure 5a–c, when the pH increased from 2 to 6, adsorption capacity and removing rate for Cu2+ rapidly increased, and then slightly decreased, onto BC300, BC400, and BC500. It is important to note that the adsorption capacity and removing rate of Pb2+ and Cd2+ were positively correlated. When the solution was at a low pH, the surfaces of the biochars were positively charged, which would cause the electrostatic repulsion of the heavy metal ions, thereby reducing the adsorption capacity of the biochars [48,49]. However, with the rise of pH, the biochars were less protonated, thereby increasing their negative charge on the surfaces and promoting its capacity for adsorption of the heavy metals [50,51]. When the Cu2+ and Pb2+ solutions had a pH = 6, and the Cd2+ solution had a pH = 7, precipitation occured in the solution. Therefore, the adsorption of the heavy metal was affected. Subsequently, the Cu2+ and Pb2+ solutions had a pH = 5, and the Cd2+ solution had a pH = 6. Under the optimal pH conditions, the adsorption capacity of BC500 was 246.21, 328, and 284 mg g−1 for Cu2+, Pb2+ and Cd2+, respectively, visibly higher than the maximum adsorption capacities of BC300 and BC400. This might be due to the fact that specific surface area and pore size of the carbon surface were related to functional groups [52].

3.2.2. Adsorption Kinetics

As shown in Figure 6a–c, the reaction time had an effect on the adsorption behavior of BC300, BC400, and BC500. The adsorption process included two main stages. In the initial stage, the adsorption capacity increased rapidly, due to the biochars having many adsorption sites on their surfaces [53]. Subsequently, a decelerated adsorption rate was seen until reaching the adsorption equilibrium [54,55].
To study the mechanism of adsorption of the Cu2+, Pb2+, and Cd2+ by the BC300, BC400, and BC500 biochars, the experimental data were fitted to the PFO and PSO models, with the fitting results shown in Figure 6d–f and Table 3, in line with what was done in previous works [56]. R2 values were higher for the PSO model than for the PFO model, and the simulated adsorption capacity in the PSO model was also relatively close to the experimental data. This indicates that the adsorption of Cu2+, Pb2+, and Cd2+ by the BC300, BC400, and BC500 biochars was more in line with the PSO model and that the adsorption process was mainly chemisorption [57,58].

3.2.3. The Effect of Temperature

As shown in Figure 7a–c, the reaction temperatures had an effect on the adsorption properties of the BC300, BC400, and BC500 materials. The adsorption capacities and removing rates of BC300, BC400, and BC500 for Cu2+, Pb2+, and Cd2+ increased when the temperature rose from 15 °C. As the temperature continued to increase from 25 °C, they began to gradually decrease. Therefore, the best temperature for adsorption was 25 °C.

3.2.4. The Effect of Dosages

As shown in Figure 8a–c, the dosages also had an effect on the adsorption behavior of BC300, BC400, and BC500. With the increase in the dosage, the rate of removal of Cu2+, Pb2+, and Cd2+ by BC300, BC400, and BC500 showed a rapid increase until it stabilized; however, the adsorption capacity was stable in the early stage, but rapidly decreased in the later stage. The removal rate rose with the rise in dosage, which provided more adsorption sites and surface area [59]. The decrease in the adsorption capacity was due to the progressive saturation of the adsorption sites caused by the adsorption reaction [60]. Especially, when the dosage of the BC500 was 15 mg, the rate to remove Cu2+ was as high as 98.5%; and when the dosage was 20 mg, the rate to remove Pb2+ and Cd2+ reached 97.5% and 92.7%, respectively.

3.2.5. Adsorption Isotherms

As shown in Figure 9a–c, the initial concentration affected the adsorption properties of BC300, BC400, and BC500. At low Cu2+, Pb2+, and Cd2+ concentrations (below 100 mg·L−1), the adsorption capacities and removal rates of BC300, BC400, and BC500 increased as a function of the concentration added. At these low concentrations of the heavy metals, a lot of adsorption sites remained available on the surfaces of the biochars [61]. With the increase in the concentration of heavy metals added, the adsorption capacity of BC300, BC400, and BC500 gradually approached saturation, and the removal rate began to decline rapidly. However, by increasing the dosage of the biochars, the removal rate could be increased even for high concentrations of heavy metals [62,63,64].
In addition, the Langmuir model and the Freundlich model were used to further study adsorption. Figure 9d–f and Table 4 show that, according to the observations, the capacities of the manganese-rich pokeweed biochars for the adsorption of the heavy metals followed the sequence BC500 > BC400 > BC300, while their rates of removal were Pb2+ > Cd2+Cu2+ > Cu2+. PB500 showed maximum adsorption capacities of 246, 326, and 310 mg·g−1 for Cu2+, Pb2+, and Cd2+, respectively. It is important to note that the R2 values of the Langmuir model were higher than those of the Frendlich model. This indicated that the adsorption of the heavy metals Cu2+, Pb2+, and Cd2+ by the BC300, BC400, and BC500 biochars was more consistent with the Langmuir model, meaning that the adsorption process was dominated by monolayer interactions [65].

3.2.6. Effects of Repeated Adsorption Cycles

The manganese-rich pokeweed biochar BC500 with the best comprehensive performance was used as representative material. The adsorption study was carried out for four consecutive cycles under the best adsorption conditions. As shown in Figure 10, the capacity of the BC500 in adsorption of the Cu2+, Pb2+, and Cd2+ decreased, to different degrees, after several cycles. Its capacity in adsorption of the Cu2+, Pb2+, and Cd2+ decreased from 244, 321, and 307 mg·g−1, to 108, 183, and 228 mg·g−1, respectively. In general, the adsorption capacity of the BC500 remained at a high level after four cycles, indicating that the material had good recyclability.

3.3. Potential Risk Analysis

The Tessier chemical sequence extraction method was used to study the morphological distribution of the heavy metals Mn, Zn, Cu, and Pb in the manganese-rich pokeweed biomasses BC300, BC400, and BC500, as indicated in previous works [66]. As shown in Figure 11, the heavy metals in the manganese-rich pokeweed biomasses BC300, BC400, and BC500 were divided into five forms: exchangeable state, carbonate-bound state, iron-manganese-bound state, organic-bound state, and residue state. The results were as follows: Mn was mainly present in the form of the iron-manganese combined state (65%) in the manganese-rich pokeweed biomasses. As the transformation pyrolysis temperature increased, the iron-manganese combined state of manganese in the BC500 dropped to 31%, while the residual state rose to 55%. Zn was mainly present in the form of carbonate-bound (29%) and iron-manganese (44%) in the manganese-rich pokeweed biomasses. With the increase in the pyrolysis temperature, the carbonate-bound state and iron manganese-bound state of the Zn in the BC500 decreased to 13% and 27%, respectively, while the residual state rose to 38%. Cu was mainly present in the form of carbonate combined state (30%) and iron-manganese combined state (31%) in the manganese-rich pokeweed biomasses. With the increase in the pyrolysis temperature, the carbonate binding state and ferromanganese binding state in the Cu in the BC500 decreased to 12% and 8%, respectively, while the residue state rose to 55%. Pb was mainly in the form of carbonate-bound (19%) and iron-manganese (44%) in the manganese-rich pokeweed biomasses. With the increase in the pyrolysis temperature, the carbonate-bound state and iron manganese-bound state of the Pb in the BC500 decreased to 2% and 17%, respectively, while the residue state rose to 52%.
Based on the above analysis, the heavy metals were present in the manganese-rich pokeweed biomasses mainly in the form of higher activity, which would cause a certain potential pollution risk to the environment. However, the pyrolysis could promote the heavy metals to convert from a more active form to a stable residue state. As the pyrolysis temperature increased, the conversion ratio of the residue state increased, as previously shown [67]. The increase in the residue state content indicated high stability of the heavy metals in the material [68].
The Hakanson heavy metal risk assessment index was adopted for evaluating the potential pollution risk of the heavy metals in the manganese-rich pokeweed biomasses BC300, BC400, and BC500 [69]. The specific index classification standards and statistics are shown in Table 5 and Table 6, indicating that the Cf values of the Mn, Zn, Cu, and Pb in the manganese-rich pokeweed biomasses were 7.33, 11.5, 8.09, and 9, respectively. As the pyrolysis temperature rose, the Cf of the Mn, Zn, Cu and Pb continued to decrease, and its risk was also decreasing. In particular, the Cf of Mn, Zn, Cu, and Pb in BC500 decreased to 0.81, 1.89, 0.72, and 0.92, respectively.
Cu and Pb had the main risk factors in the Er of the manganese-rich pokeweed biomasses, with risk coefficients of 40.45 and 45, respectively, representing moderate potential ecological risk. As the pyrolysis temperature went up, the Er of Mn, Zn, Cu, and Pb continued to decrease, and their potential risks also decreased. In particular, the Er of Mn, Zn, Cu, and Pb in BC500 dropped to 0.81, 1.89, 3.6, and 4.6, respectively, which meant that the potential ecological risk had dropped to a low level.
According to the RI values, it can be seen that the manganese-rich pokeweed biomasses had a considerable potential ecological risk due to the heavy metals, reaching 104.28. However, after the pyrolysis, the potential ecological risks of BC300, BC400, and BC500 were reduced to 67.51, 21.05, and 10.9, respectively. Compared with the biomasses, the potential ecological risk of the heavy metals in the biochars after the pyrolysis was significantly reduced. Especially, for BC500, it was reduced to a low level. It showed that preparing the biomasses into the biochars could effectively reduce the potential pollution risk of the heavy metals.

4. Conclusions

In this study, three manganese-rich pokeweed biochar materials (designed as BC300, BC400 and BC500) were prepared from manganese-rich pokeweed plants to study its performance as regards adsorption of Cu2+, Pb2+, and Cd2+. Under the optimal conditions and values of the adsorption parameters, one of the biochars (BC500) showed maximum adsorption capacity as high as 246, 326, and 310 mg·g−1 for Cu2+, Pb2+, and Cd2+, meaning 98.5, 97.5, and 92.7% in removing rates. After being used for four cycles, the adsorption capacity was maintained, and the potential pollution risk of the heavy metals remained low. Regarding adsorption kinetics and adsorption isotherms, the PSO and the Langmuir models fitted well to the experimental data. By means of different characterization analyses (FTIR, SEM-EDS, BET, XRD, and XPS), it was shown that the Mn in the biochars was mainly MnO2, with these sorbent materials having many functional groups on their surfaces. The mechanism involved in the sorption of Cu2+, Pb2+, and Cd2+ onto the three biochars (BC300, BC400 and BC500) included ion exchange, electrostatic attraction, chemical adsorption, and precipitation. All three biochars (BC300, BC400, and BC500) were featured with high adsorption capacity, recyclability, and low environmental pollution. The elaboration of these biochar materials could be also used for scientific treatment and disposal of the manganese-rich pokeweed plants. Overall, the results of the study can be considered of clear environmental relevance.

Author Contributions

Conceptualization, Z.Y., W.H., Y.Z., A.N.-D.; methodology, Z.Y., W.H.; software, L.S., F.J.; writing-original draft, Z.Y., B.Y.; writing-review and editing, W.H., Y.Z., A.N.-D.; supervision, W.H., A.N.-D. All authors have read and agreed to the published version of the manuscript.

Funding

The study was financially supported by the Natural Science Foundation of Hunan Province, China (Grant No. 2018JJ3242), China Postdoctoral Science Foundation (Grant No. 2018M630901).

Conflicts of Interest

All co-authors have no conflicts of interest.

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Figure 1. FTIR spectra of the manganese-rich pokeweed biochars here studied.
Figure 1. FTIR spectra of the manganese-rich pokeweed biochars here studied.
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Figure 2. SEM images and EDS spectra of manganese-rich pokeweed biochars: (a) BC300, (b) BC400, (c) BC500, and (d) BC500 after Cu2+ adsorption; (e) BC500 after Pb2+ adsorption; and (f) BC500 after Cd2+ adsorption.
Figure 2. SEM images and EDS spectra of manganese-rich pokeweed biochars: (a) BC300, (b) BC400, (c) BC500, and (d) BC500 after Cu2+ adsorption; (e) BC500 after Pb2+ adsorption; and (f) BC500 after Cd2+ adsorption.
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Figure 3. XRD diagrams of the manganese-rich pokeweed biochars.
Figure 3. XRD diagrams of the manganese-rich pokeweed biochars.
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Figure 4. XPS diagrams of manganese-rich pokeweed biochars: (a) XPS survey spectra, (b) C 1s spectra, (c) Mn2p spectra.
Figure 4. XPS diagrams of manganese-rich pokeweed biochars: (a) XPS survey spectra, (b) C 1s spectra, (c) Mn2p spectra.
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Figure 5. The effect of solution pH on the adsorption of three different heavy metals by the manganese-rich pokeweed biochars: (a) Cu2+, (b) Pb2+, (c) Cd2+.
Figure 5. The effect of solution pH on the adsorption of three different heavy metals by the manganese-rich pokeweed biochars: (a) Cu2+, (b) Pb2+, (c) Cd2+.
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Figure 6. Data regarding adsorption kinetics for the manganese-rich pokeweed biochars: (a) Cu2+, (b) Pb2+, (c) Cd2+. Data on fitting to kinetic models: (d) Cu2+, (e) Pb2+, (f) Cd2+.
Figure 6. Data regarding adsorption kinetics for the manganese-rich pokeweed biochars: (a) Cu2+, (b) Pb2+, (c) Cd2+. Data on fitting to kinetic models: (d) Cu2+, (e) Pb2+, (f) Cd2+.
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Figure 7. The effect of reaction temperature on the adsorption of heavy metals by the manganese-rich pokeweed biochars: (a) Cu2+, (b) Pb2+, (c) Cd2+.
Figure 7. The effect of reaction temperature on the adsorption of heavy metals by the manganese-rich pokeweed biochars: (a) Cu2+, (b) Pb2+, (c) Cd2+.
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Figure 8. The effect of dosage on the adsorption of heavy metals by the manganese-rich pokeweed biochars: (a) Cu2+, (b) Pb2+, (c) Cd2+.
Figure 8. The effect of dosage on the adsorption of heavy metals by the manganese-rich pokeweed biochars: (a) Cu2+, (b) Pb2+, (c) Cd2+.
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Figure 9. Effect on adsorption due to the initial concentration of the heavy metals added: (a) Cu2+, (b) Pb2+, and (c) Cd2+. Adsorption curves for the manganese-rich pokeweed biochars: (d) Cu2+ adsorption isotherm, (e) Pb2+ adsorption isotherm, and (f) Cd2+ adsorption isotherm.
Figure 9. Effect on adsorption due to the initial concentration of the heavy metals added: (a) Cu2+, (b) Pb2+, and (c) Cd2+. Adsorption curves for the manganese-rich pokeweed biochars: (d) Cu2+ adsorption isotherm, (e) Pb2+ adsorption isotherm, and (f) Cd2+ adsorption isotherm.
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Figure 10. Cyclic adsorption capacity (reusability) of BC500 for Cu2+, Pb2+, and Cd2+.
Figure 10. Cyclic adsorption capacity (reusability) of BC500 for Cu2+, Pb2+, and Cd2+.
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Figure 11. The distribution of heavy metals Mn, Zn, Cu, and Pb in the manganese-rich pokeweed biomass, BC300, BC400, and BC500.
Figure 11. The distribution of heavy metals Mn, Zn, Cu, and Pb in the manganese-rich pokeweed biomass, BC300, BC400, and BC500.
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Table 1. BET parameters of the manganese-rich pokeweed biochars.
Table 1. BET parameters of the manganese-rich pokeweed biochars.
SampleSurface Area (m2·g−1)Pore Volume (m3·g−1)
BC3005.5640.013
BC4009.4160.011
BC50020.2330.014
Table 2. Elemental composition of the manganese-rich pokeweed biochars.
Table 2. Elemental composition of the manganese-rich pokeweed biochars.
SampleC%N%H%O%H/CO/C
BC30061.60.934.6228.7240.0750.46
BC40065.830.833.8724.4420.0580.37
BC50069.490.513.521.910.050.31
Table 3. The adsorption kinetic parameters for Cu2+, Pb2+, and Cd2+.
Table 3. The adsorption kinetic parameters for Cu2+, Pb2+, and Cd2+.
AdsorbentPFOPSO
Qe (mg·g−1)k1R2Qe (mg·g−1)k2R2
BC300-Cu2+174.525970.025440.83879185.557831.978350.96389
BC400-Cu2+199.439480.028950.69816212.807171.871060.88866
BC500-Cu2+227.524990.025270.79485242.068661.517410.94866
BC300-Pb2+154.683930.009640.93444160.157139.964970.96666
BC400-Pb2+190.513520.026420.60892229.217862.504270.87913
BC500-Pb2+280.647620.053350.66377315.529972.609740.88855
BC300-Cd2+214.255410.065760.59985252.241235.18480.86809
BC400-Cd2+229.541230.061430.55518275.274134.362130.83837
BC500-Cd2+242.571360.076930.53173306.541895.548030.88314
Table 4. The adsorption isotherms parameters of Cu2+, Pb2+, and Cd2+.
Table 4. The adsorption isotherms parameters of Cu2+, Pb2+, and Cd2+.
AdsorbentLangmuirFreundlich
Qm (mg g−1)KLR2KFnR2
BC300-Cu2+188.1866828.022740.96239128.63070.077370.79598
BC400-Cu2+222.2080720.670840.98487187.660810.03430.51224
BC500-Cu2+248.3094510.331690.98888166.268420.083270.65712
BC300-Pb2+170.1247970.516570.6445140.666210.035730.55412
BC400-Pb2+237.5424831.241890.9487166.113470.072160.77502
BC500-Pb2+328.3909517.439780.99035217.320220.086520.69727
BC300-Cd2+263.3494525.554790.9713176.877510.081430.80421
BC400-Cd2+284.3361122.218880.98114186.822510.086870.80392
BC500-Cd2+311.3709918.99190.98834202.646840.090020.77071
Table 5. Index classification of Hakanson potential risk assessment.
Table 5. Index classification of Hakanson potential risk assessment.
ErPotential Ecological RiskRIBiochar Contamination
Er < 40LowRI ≤ 50Low
40 ≤ Er < 80Moderate50 < RI ≤ 100Moderate
80 ≤ Er < 160Considerable100 ≤ RI < 200Considerable
160 ≤ Er < 320HighRI > 200High
Er ≥ 320Very high
Table 6. Potential risk assessment of heavy metals in the manganese-rich pokeweed biomass, BC300, BC400, and BC500.
Table 6. Potential risk assessment of heavy metals in the manganese-rich pokeweed biomass, BC300, BC400, and BC500.
SamplesParameterMnZnCuPb
BiomassCf7.3311.58.099
Er7.3311.540.4545
RI104.28
BC300Cf3.7696.694.26
Er3.76933.4521.3
RI67.51
BC400Cf1.52.71.941.43
Er1.52.79.77.15
RI21.05
BC500Cf0.811.890.720.92
Er0.811.893.64.6
RI10.9
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Yang, Z.; Hu, W.; Yao, B.; Shen, L.; Jiang, F.; Zhou, Y.; Núñez-Delgado, A. A Novel Manganese-Rich Pokeweed Biochar for Highly Efficient Adsorption of Heavy Metals from Wastewater: Performance, Mechanisms, and Potential Risk Analysis. Processes 2021, 9, 1209. https://doi.org/10.3390/pr9071209

AMA Style

Yang Z, Hu W, Yao B, Shen L, Jiang F, Zhou Y, Núñez-Delgado A. A Novel Manganese-Rich Pokeweed Biochar for Highly Efficient Adsorption of Heavy Metals from Wastewater: Performance, Mechanisms, and Potential Risk Analysis. Processes. 2021; 9(7):1209. https://doi.org/10.3390/pr9071209

Chicago/Turabian Style

Yang, Zhe, Wenyong Hu, Bin Yao, Liangchen Shen, Feifeng Jiang, Yaoyu Zhou, and Avelino Núñez-Delgado. 2021. "A Novel Manganese-Rich Pokeweed Biochar for Highly Efficient Adsorption of Heavy Metals from Wastewater: Performance, Mechanisms, and Potential Risk Analysis" Processes 9, no. 7: 1209. https://doi.org/10.3390/pr9071209

APA Style

Yang, Z., Hu, W., Yao, B., Shen, L., Jiang, F., Zhou, Y., & Núñez-Delgado, A. (2021). A Novel Manganese-Rich Pokeweed Biochar for Highly Efficient Adsorption of Heavy Metals from Wastewater: Performance, Mechanisms, and Potential Risk Analysis. Processes, 9(7), 1209. https://doi.org/10.3390/pr9071209

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