Literature DB >> 35036718

Synergetic Enhancement of Pb2+ and Zn2+ Adsorption onto Size-Selective Sludge Biochar Portions in Multiple Ion Solution Systems.

Haoming Chen1,2, Yao Peng3, Lingyi Tang2, Fangfang Min1, Muhanmaitijiang Nazhafati1, Chen Li1, Jian Ge1, Haihou Wang4, Junji Li1.   

Abstract

Particle size, one of the predominant factors that affect the adsorption capacity of biochar, has been widely investigated. However, correlative studies on a coexistence system containing various ions together with differentiated particle sizes are scarce. In this study, samples of municipal solid waste (sludge) biochar (SB) with different particle sizes were separated and examined for the adsorption performance in bi-cation (Pb2+/Zn2+) and multi-ion (Pb2+, Zn2+ and Cl-) systems. The results showed that the adsorption capacity is influenced by both particle size and ion configurations. The effective stabilization ability of a small size group can be attributed to the most non-bioavailable fraction. Meanwhile, the acidic soluble and non-bioavailable fraction of Pb2+/Zn2+ reached more than 90%. The mixed adsorption experiment showed that Pb2+ would compete for the adsorption sites of biochar with Zn2+, and Cl- intervention could improve the adsorption of Pb2+ (2.33-6.93%) and Zn2+ (16.52-18.01%) on biochar. Further, X-ray diffraction spectra and phosphorus concentration dynamics and kinetics simulations revealed that more abundant active sites in the formatted pyromorphite were able to be exposed in the presence of Cl-. The small-size portion of SB therefore exhibited excellent potential for the long-term heavy metal remediation under practical conditions of multi-ion systems in an actual environment.
© 2021 The Authors. Published by American Chemical Society.

Entities:  

Year:  2021        PMID: 35036718      PMCID: PMC8756797          DOI: 10.1021/acsomega.1c04901

Source DB:  PubMed          Journal:  ACS Omega        ISSN: 2470-1343


Introduction

Lead (Pb) is one of the most common contaminants in the environment with long-term persistence.[1] It is a cumulative pollutant, which lead to high toxicity, for example, impairing neurological development and interfering with functioning of enzymes.[2−4] About half a million deaths and over nine million disability-adjusted life years were attributed to Pb exposure in 2016.[5] Geogenic and anthropogenic sources are the main causes of Pb pollution, such as mining, batteries, and smelting operations, all related to human activities. It is noteworthy that the subsequent occurring of pollution in water and soil environment is more common and dangerous. For example, it is easy for the toxic metal ions of acid mine drainage to enter the food chain via surface runoff and soil diffusion, which impose risks on human beings and aquatic life.[6,7] Therefore, to solve these problems, efficient remediation materials are imperative for solidification and stabilization of heavy metals. Biochar is a promising carbon-based remediation material, produced by heating biological residues with limited air supply.[8] Applying biochar in water treatment or soil remediation to immobilize heavy metals and reduce environmental risks is now regarded as a green sustainable remediation technology.[9,10] Biochar reduces the bioavailability/mobility of heavy metals through various mechanisms, for example, physical adsorption, cation exchange, electrostatic interaction, precipitation, and complexation.[11,12] Among them, (1) the heavy metals adsorbed on biochar via physical adsorption and cation exchange comprise the bioavailable fraction with direct risks to plants and humans; (2) those adsorbed through cation−π interaction are the potentially bioavailable fraction; and (3) those through surface complexation represent the non-bioavailable fraction. The non-bioavailable components can maintain good stability under environmental alteration. Therefore, it is critical to reduce the bioavailability of heavy metal pollutants when applying biochar in remediation.[13] Mixed ion systems and biochar particle size are common factors of priority in heavy metals remediation. Previous studies have demonstrated that a decrease in particle size of biochar can improve adsorption capacity of heavy metals due to higher surface area.[14] Moreover, particle size also influences adsorption capacity by limiting diffusion penetration depth. Micromilling increases the surface area, thus enhances adsorption capacity until particle radius is smaller than the diffusion penetration depth.[15] Heavy metal adsorption could be restricted by competitive behavior of the involved metals for biochar sorption sites.[16] Some study showed that comparing to monometal solutions, the adsorption capacity of biochar is usually lower in mixed solutions.[16−18] Among the common heavy metals (Pb, Cd, Cr, Cu, Zn), biochar has the highest adsorption capacity of Pb2+, while Zn2+ is one of the most affected metal ions in multi-metal systems.[16] Hence, Pb2+ and Zn2+ are typical metal ions in mixed adsorption experiments. Additionally, the presence of some ubiquitous anions may also promote the removal of heavy metals. For example, ZnCl2 (Cl–) is commonly used in the preparation and modification of carbon or other materials to improve absorption capacity of Pb2+.[19−22] Although several studies have estimated mixed sorption of heavy metals by biochar, few research studies focused on the synergistic effects considering both particle size and chlorine anion in multi-metal adsorption. In addition, the mixed adsorption behavior of Pb and Zn on some specific biochars is not clear. At the same time, as one of the most common anions in the environment, Cl– plays an important synergistic role in promoting the mineralization of heavy metals (especially for Pb: pyromorphite). Therefore, it is important to study the mixed adsorption mechanism of Pb and Zn in the presence of Cl– on biochars with different particle sizes, which would help evaluate the risky state modification of Pb adsorbed on biochars in real aquatic and soil environment. This study investigated the adsorption behavior of Pb2+ onto biochar with different particle sizes and the influence of competition of other ions. We hypothesized that the presence of Zn2+ and Cl– would increase the adsorption of lead onto biochar by some certain mechanism. Accordingly, the concentration variations of soluble P, Pb2+, and Zn2+ were analyzed by inductively coupled plasma optic emission spectrometry (ICP–OES), and meanwhile, the formation and mineralogy of the generated minerals on biochar during Pb2+ and Zn2+ mineralization were investigated by X-ray diffraction (XRD), scanning electron microscopy (SEM), and sequential extraction tests.

Results

Adsorption Isotherms in Bi-Cation System

Experimental data were fitted by the Langmuir and Freundlich isotherm models after Pb2+ batch adsorption studies. The non-linear forms of the two models were used in this study. The results are shown in Figure . Generally, to find out the best fitting isotherm model, the obtained correlation coefficient (R2) values are compared with each other. It showed that the adsorption isotherm of Pb2+ could be identified using both models because R2 values were close with each other (Table S1). The maximum adsorption capacities (Qmax) of Pb2+ in the Langmuir model were close to each other (∼60 mg/g) considering the fitting errors. However, there was a subtle tendency that Qmax was in reverse to particle size. The constants that related to binding energy of S1, S2, and S3 were 0.003, 0.004, and 0.009 L/mg, respectively, indicating the highest binding energy of S3. The Freundlich model seemed to describe adsorption better because of higher R2. Kf is a constant related to the sorption capacity, and 1/n is an empirical parameter related to the intensity of sorption, which varies with the heterogeneity of the material. It was inferred that Kf increased with decreasing particle size.
Figure 1

Adsorption isotherms for Pb (A), Zn (B) and Zn with Cl– (C) onto the three types of biochar in the batch experiment (S1: >0.165, S2: 0.025–0.165, S3: <0.025 mm).

Adsorption isotherms for Pb (A), Zn (B) and Zn with Cl– (C) onto the three types of biochar in the batch experiment (S1: >0.165, S2: 0.025–0.165, S3: <0.025 mm). In contrast, the Langmuir model was well applied in Zn2+ adsorption because R2 values were beyond 0.99 for all of the three types of biochar, while R2 values of Freundlich were ∼0.96, which suggested a monolayer adsorption of Zn2+. The Qmax of Zn2+ in the Langmuir model was 8.3, 8.5, and 9.03 mg/g for S1, S2, and S3, respectively (Table S1), indicating more adsorption capacity of Zn2+ for biochar with smaller size. The b values were close to each other among the three types of biochar, which were ∼0.08 L/mg. To clarify the adsorption mechanism, the specific surface area of S1, S2, and S3 were tested, which equaled 24.04, 30.48, and 32.62 m2/g, respectively (Table S2).

Adsorption Kinetics and Phosphorus Dynamics in a Bi-Cation System

The pseudo-first-order kinetic model and pseudo-second-order kinetic model were utilized to estimate the mechanism involved in the adsorption process of Pb2+ and Zn2+ onto SB (Figure ). The R2 values of the pseudo-second-order kinetic model were higher than those of pseudo-first-order model (Table S3), which suggested that a pseudo-second-order model could better describe the adsorption processes of Pb2+ and Zn2+, indicating a chemisorption dominated the adsorption.[23]
Figure 2

Adsorption kinetics for Pb (A), Zn (B) and Zn with Cl– (C) onto three types of biochar in the batch experiment (S1: >0.165, S2: 0.025–0.165, S3: <0.025 mm).

Adsorption kinetics for Pb (A), Zn (B) and Zn with Cl– (C) onto three types of biochar in the batch experiment (S1: >0.165, S2: 0.025–0.165, S3: <0.025 mm). An intraparticle diffusion model was applied to further investigate the adsorption kinetics. It shows that decrease in particle size could promote all film diffusion rates (slope 1) and nearly all pore diffusion rates (the last slope). Smaller particle size also decreased the boundary layer’s thickness (intercept 1) (Figure S6). According to previous interpretations,[23,24] film diffusion dominated the adsorption rates in the study, as slope 1 was much higher that other slopes in each treatment. From Figure S6G–I, stage 2, corresponding to adsorption on the biochar surface with physical or chemical binding, could be distinguished and its slope increased, which can be attributed to more available functional groups with the extending surface area. Concentrations of phosphorus in the adsorption kinetics were also detected. Soluble P from S1 in the experiment of Pb2+/Zn2+ adsorption kinetics in the bi-cation system was higher than that from S2 and S3 (Figure S1), which also occurred in the multi-ion system when equilibrium was attained (Figure S2). Soluble P from S1 fluctuated with a maximum at ∼500 min (11.79 mg/L) while soluble P from S2 and S3 culminated at ∼700 min (10.77 and 10.73 mg/L, respectively) in the adsorption kinetics of Pb. In the adsorption kinetics of Zn, soluble P peaked at ∼500 min with a much higher value (20.94, 16.69, and 16.46 mg/L, respectively).

Effects of Initial pH on Adsorption of Pb2+and Zn2+

The adsorbed Pb2+ at initial pH values of 2–5 was relatively low for S1, S2, and S3 (24.4–27.89%) (Figure ). Acidic condition inhibited the formation of Pb minerals, for example, cerussite (PbCO3), lead hydroxide [Pb(OH)2], and pyromorphite [Pb5(PO3)3Cl] or hydroxypyromorphite [Pb5(PO3)3OH].[25] After initial pH of 5, Pb2+ removal percentage rapidly rose with increasing initial pH due to the enhanced deprotonation process on SB surface and more negative sites.[26] Soluble Pb2+ was removed absolutely at initial pH of 11 (100%). The percentages of Pb2+ removed by S1, S2, and S3 were close at each initial pH values.
Figure 3

Removal percentage of Pb2+ (A), Zn2+ (B) and Zn2+ with Cl− (C) by three types of biochar in the bi-cation solution with various initial pH values (S1: >0.165, S2: 0.025–0.165, S3: <0.025 mm).

Removal percentage of Pb2+ (A), Zn2+ (B) and Zn2+ with Cl− (C) by three types of biochar in the bi-cation solution with various initial pH values (S1: >0.165, S2: 0.025–0.165, S3: <0.025 mm). Differing from Pb2+, the adsorbed Zn2+ gradually increased when initial pH value increased, and differentiation between biochar with different particle sizes at initial pH values of 4–9. S3 adsorbed more Zn2+ than S2 and followed by S1 at initial pH values of 5. Response of Pb2+ adsorption to pH values differed from that of Zn adsorption mainly due to cation properties.

Sequential Extraction Results

The stability of Pb2+ and Zn2+ on each biochar determined by sequential extraction tests is shown in Figure . In the mono-metal system of Pb2+, the majority of adsorbed Pb2+ on S1 (64.02%), S2 (69.12%), and S3 (84.63%) were in the non-bioavailable fraction, corresponding to the decreasing particle size. Acidic soluble fraction decreased from 35.87 to 14.10% when particle became finer. The exchangeable fraction and water soluble fraction were so low (below 1%) that could be negligible.
Figure 4

Pb2+and Zn2+ fractions (%) in mono-metal cation, bi-cation and multi ion system after 24 h adsorption onto biochar. Mono-metal cation: (A) Pb2+ fractions, (B) Zn2+ fractions, (C) Zn2+ fractions with Cl–; bi-cation system: (D) Pb2+ fractions, Zn2+ is not fixed by biochar in the bi-cation system; multi ion system: (E) Pb2+ fractions, (F) Zn2+ fractions (S1: >0.165, S2: 0.025–0.165, S3: <0.025 mm).

Pb2+and Zn2+ fractions (%) in mono-metal cation, bi-cation and multi ion system after 24 h adsorption onto biochar. Mono-metal cation: (A) Pb2+ fractions, (B) Zn2+ fractions, (C) Zn2+ fractions with Cl–; bi-cation system: (D) Pb2+ fractions, Zn2+ is not fixed by biochar in the bi-cation system; multi ion system: (E) Pb2+ fractions, (F) Zn2+ fractions (S1: >0.165, S2: 0.025–0.165, S3: <0.025 mm). The acidic soluble fraction of Zn2+ was the dominant phase (Figure B). However, when incorporated Cl– into the solution (Figure C), the non-bioavailable fractions of Zn2+ were 37.96, 24.00, and 37.34% for S1, S2, and S3, respectively. The acidic soluble fraction of Zn2+ was 35.06 and 38.63% for S1 and S2, and followed by S3 (27.90%). Compared with single-cation adsorption, adsorption capacities of both Pb2+ and Zn2+ were promoted in a bi-cation adsorption system (Table ). For Pb2+, the ratios of non-bioavailable fractions gave the way to others, while Zn2+ was excluded from adsorption, resulting that each fraction was under detection limits. In a multi-ion system, adsorption capacities of Zn2+ for S1, S2, and S3 increased by 18.01, 16.52, and 17.64%, respectively, while adsorption capacities of Pb2+ for S1, S2, and S3 were slightly altered (only 4.54, 6.93, and 2.33%) of those in the bi-cation system. Non-bioavailable fractions of Pb2+ and Zn2+ decreased in the multi-ion system. The non-bioavailable fractions of Pb2+ for S1, S2, and S3 were 18.62, 23.47, and 42.35% respectively, which increased with decreasing particle size of SB. This tendency also occurred in Zn2+ (9.14, 25.04, and 25.03% for S1, S2, and S3). The results interpreted that fine-sized SB had a smaller environmental risk than others.
Table 1

Adsorption Capacity of Pb2+ and Zn2+ in the Bi-Cation and Multi-Ion System (S1: >0.165, S2: 0.025–0.165, S3: <0.025 mm)a

  adsorption capacity (mg/g)
 type of biocharsingle-cationbi-cationmulti-ion
Pb2+particle size >0.165 mm11.41619.72120.616
 particle size: 0.025–0.165 mm11.21524.96626.695
 particle size <0.025 mm11.97429.01826.694
Zn2+particle size >0.165 mm6.526 (12.152)0.0118.235
 particle size: 0.025–0.165 mm6.482 (12.237)0.00618.067
 particle size <0.025 mm7.172 (12.211)0.3718.600

The bracketed data is the data of Zn(NO3)2.

The bracketed data is the data of Zn(NO3)2.

XRD Results

The XRD patterns of the three types of SB after adsorption of both Pb2+ and Zn2+ with existence of Cl– are shown in Figure . The peaks at 17.8°, 24.8°, 25.5°, 43.5° and the peaks at 11.1°, 20.1°, 27.1°, 34.2°confirmed the primarily existence of PbCO3 and hydrocerussite [Pb3(CO3)2(OH)2] on biochar (Figures and S3).[27] The peaks at 13.8°, 22.5°, 34.7°, 43°, and 45.8°were attributed to ZnCO3 and peaks at 19.3°, 29°, 39.5°, and 48.2° represented Zn3(PO4)2. Zn(OH)2 was observed according to peaks at 24.9° and 27.1° (Figures and S4).
Figure 5

XRD patterns of each type of biochar after adsorption of Pb2+and Zn2+ with existence of Cl–. (A) Biochar with particle size >0.165 mm, (B) biochar with particle size 0.025–0.165 mm, (C) biochar with particle size <0.025 mm.

XRD patterns of each type of biochar after adsorption of Pb2+and Zn2+ with existence of Cl–. (A) Biochar with particle size >0.165 mm, (B) biochar with particle size 0.025–0.165 mm, (C) biochar with particle size <0.025 mm. In the multi-ion system, formation of Pb5(PO3)3Cl was confirmed due to new peaks at 20.5°, 35.9° and enhanced intensity of peaks at 26.2° in Figure B,C, and Pb3(PO3)2(OH)2 corresponding to the new peak at 21.8°.[28,29] In addition, compared with XRD patterns in the bi-cation system (Figures S3 and S4), weakened noise in Figure indicated enhanced mineralization of Pb and Zn in the multi-ion system.

Discussion

In this paper, the adsorption of lead by SB and the co-adsorption of lead and zinc with coexistence of Cl– were studied. The particle size of SB has a great influence on the adsorption capacity which should be ascribed to the compositional difference, and physical properties such as specific surface area or the inner-pore structures. Previous studies have shown that the coexistence of lead and zinc leads to the reduction of their adsorption capacity.[16,18] However, after introducing chloride ions into this study, it was found that the presence of Cl– would increase the adsorption capacity of two heavy metals possibly via enhancement of forming Pb minerals. In the presence of Cl–, the increase of Pb2+ adsorption capacity (2.33–6.93%) on biochar was lower than that of Zn2+ (16.52–18.01%), but the proportion of non-bioavailable Pb2+ (64.02–84.63%) was higher than that of Zn2+ (1.70–7.47%). In addition, sequential extraction results interpreted that the fine-sized biochar has a lower environmental risk and sustainability due to its low bioavailable portions (Figure , Table S5). Influence of particle size on efficiency of heavy metal immobilization by biochar have been demonstrated.[30−32] The sorption capacity of biochar can be affected by particle size via the surface area and diffusion depth. The adsorption capacity of Pb2+/Zn2+ for S3 was higher than that for S1 in this study, which mainly due to the increase of surface area caused by the decrease of particle size,[14] and it was confirmed by the Brunauer–Emmett–Teller (BET) surface areas of biochar (Table S2). The reduction of particle size can not only increase the specific surface area of biochar but also improve its functional groups. ATR-IR results showed that the functional groups of small particle biochar are more abundant than those of large and medium particle biochar (Figure S5), which may be due to the increased surface area of biochar, resulting in more functional group exposure. Rich functional groups can significantly promote the adsorption of heavy metals by biochar,[33−35] which is also one of the reasons for the best adsorption effect of the smallest particle size. Previous studies have also confirmed that small particle size biochar had the most oxygen-containing functional groups, CEC, and negative charges as measured by the zeta potential, which improves the adsorption capacity of biochar for single heavy metals.[33] The shell adsorption model suggests that adsorbates are adsorbed on the exterior particle because of limited diffusion depth.[36] Therefore, the enhancing adsorption capacity of finer particle possibly results from more available and deeper reaction sites, which was coherent with the results of an intraparticle diffusion model. In addition, it was revealed that soluble P from S3 was lower than those from S2 and S1, which indicated that fine-sized SB had provided more sites for mineralization of phosphate. The adsorption capacity of Pb2+ for SB was higher than that of Zn2+, which is attributed to differences in chemical characteristics between them. Pb2+ has a smaller hydrated radius (4.01 Å) than that of Zn2+ (4.30 Å). Thus, Pb2+ is with a greater affinity for most functional groups in the organic matter. The higher electronegativity (2.33 for Pb and 1.65 for Zn) results in more favorably surface complexation or sorption of Pb.[16] Moreover, the solubility product constant (Ksp) of lead phosphate is also higher than that of zinc phosphate. All above lead to more adsorbed Pb on SB. However, the lower pKH (negative log of hydrolysis constant) of Pb contributed to a lower slope of the removal curve before pH = 5 in pH treatment. Involvement of anions is one of the important factors affecting mineral precipitation. It has been demonstrated that Cl– could promotes the transformation of Pb minerals to Pb even though soluble P was ∼10–12 mM.[25] A Pb/P mole ratio of Pb5(PO3)3Cl is higher than that of Pb3(PO4)2. Moreover, increasing ion strength could improve solving of P from phosphate.[37] Hence, more Pb was precipitated by more “available P” provided in the multi-ion system to precipitate in the presence of Cl–. So was Zn. In addition, the precipitation of Pb in solution can make the number of free spots on the biochar increase, which was beneficial to the adsorption of Zn on the biochar. Stability and sustainability are two essential evaluation indices in heavy metal remediation via biochar in the environment. The heavy metals precipitate on biochar that can be dissolved in sodium acetate or acetic acid are considered as potentially bioavailable while the rest is considered as non-bioavailable.[13] Through sequential extraction, it was proved that compared with the bi-cation system, the components of heavy metal adsorption by three types of biochar with different particle sizes were significantly changed in the multi-ion system. The percentage of non-bioavailable fraction of Pb adsorbed on SB decreased when involving Zn2+ and Cl–. However, adsorption capacity of Pb2+ for SB were increased, especially for fine-sized SB (S3) increased ∼300%. Thus, the amount of non-bioavailable Pb2+ on fine-sized SB was much higher than that in the bi-cation system. This also indicates that pyromorphite may belong to non-bioavailable fraction in sequential extraction, which is consistent with the apparent increase of the peaks of XRD (Pb-mineral) in multi-ion systems. Non-bioavailable Pb and Zn will be released under strong acid conditions, but it rarely occurs in natural water. Hence, the non-bioavailable heavy metals formed by biochar adsorption are rather stable. Furthermore, P and Cl– can significantly promote the adsorption and solidification of heavy metals (Pb and Zn) and can reduce the risk of re-decomposition of heavy metals. Especially in the soil environment, P and Cl– exist widely, so they are easier to participate in the later maintenance of biochar remediation, so as to avoid secondary pollution.

Conclusions

In this study, the adsorption of Pb2+ and Zn2+ by biochars with different particle sizes was quantitatively analyzed. In the case of adsorption in the bi-cation system, the percentage of non-bioavailable fraction of Pb2+ was significantly higher than that of Zn2+. In the multi-ion system, although the percentage of non-bioavailable fraction of Pb2+ on S3 decreased, its absolute quantity greatly increased due to increasing adsorption capacity. The presence of Cl– promotes the formation of more stable Pb minerals, and other anions in the environment may also cooperate with Pb2+ to promote the precipitation on the surface of biochar. Therefore, under the condition of multiple-ion systems in the actual environment, fine-sized SB is more conducive to the long-term stability for environmental treatment of heavy metal pollution.

Materials and Methods

Material Preparation

A type of slight acidic biochar (SB, pH 6.36) was provided by Mississippi International Water (China) Ltd. The production details, and properties, have been well described in our previous studies.[38,39] SB was prepared from sludge (water content 80 wt %) at 600 °C, with BET surface area (13.62 m2/g), average pore width (1.63 nm), total pore volume (0.081 cm3/g), cation exchange capacity (40.43 cmol/kg), total N (1.66%), and total K (0.27%). SB was P-rich (1.71 wt %), which helps Pb-mineral formation.[27] SB was dried at 105 °C for 24 h and sieved through 100 and 500 mesh, respectively. As a consequence, three particle sizes of SB were produced (>0.150, 0.025–0.150, and <0.025 mm). For simplicity, they were named S1, S2, and S3 to represent coarse-sized, moderate-sized, and fine-sized biochar, respectively, in this study. These samples were stored for the following analyses and experiments. The BET surface areas of them were characterized. Pb2+ solution was prepared via PbNO3 and Zn2+ solution was prepared by ZnNO3. Thus, a solution with sole Pb2+ or Zn2+ was named the bi-cation system and coexistence of Pb, Zn, and Cl occurred in the mixture solution was named the muti-ion system.

Adsorption Experiments

Batch sorption experiments were conducted in polyethylene tubes in a temperature-controlled shaker (20 ± 1 °C). Solutions of 0.1 M HNO3 and 0.1 M NaOH were used to adjust the pH of solutions when necessary. All solutions were adjusted to contain 0.01 M NaNO3 to control the ion strength. To study the kinetics of adsorption onto biochar, 20 mL solutions with 1 mM Pb2+ or Zn2+ (pH = 5) were prepared and 0.1 g of biochar was added. The mixture was shaken at 200 rpm for a pre-determined time before filtration using a 0.22 μm filter. Shaking times were set at 5 min, 10 min, 20 min, 30 min, 1 h, 2 h, 3 h, 6 h, 12 h, 18 h, and 24 h for kinetics study. For the adsorption equilibrium study, 0.1 g of biochar was added to 20 mL solutions (pH = 5) containing different metal concentrations (0.1, 0.2, 0.4, 0.8, 2, 3, and 5 mM). Then, after shaking for 24 h, the mixtures were centrifuged at 4000 rpm for 2 min. The supernatants were filtered and the concentrations of metal ions were determined. The precipitates were dried at 60 °C for XRD analysis. All the three types of SB underwent the same treatment described above. To estimate the effects of pH on adsorption of heavy metals, the three types of SB were added in 20 mL solutions with 1 mM metals, respectively. 1 M HNO3 and 1 M NaOH were applied to adjust pH values of solutions to 1.0, 3.0, 5.0, 7.0, 9.0, and 11.0. They were shaken at 200 rpm for 24 h and then filtered for analysis. Mixed adsorption between Pb2+ and Zn2+ was conducted in the bi-cation solution containing 1 mM Pb2+ and 2 mM Zn2+ and in the multi-ion solution, with 4 mM Cl–. 0.1 g of S1, S2, and S3 were added in the multi-metal solution, respectively. Hence, the effect of particle size was also considered. After shaking at 200 rpm for 24 h, the suspensions were centrifuged and collected. The metal ions in the supernatant were then determined and the precipitate was further analyzed in sequential extraction described in the following sentences. The modified sequential extraction has been used to distinguish various fractions of metals in previous studies.[13] This method is widely recognized, especially in the joint study of biochar. Hence, the precipitates in the mixed adsorption experiment, and those obtained in adsorption kinetics at the same dosage of each metal, were analyzed through the modified sequential extraction. According to Shen et al.’s research,[13] the four extraction steps correspond to four heavy metal forms in turn: ① water soluble fraction: the 0.1 g solid residue (after reaction) was mixed with 20 mL deionized water and shaken for 24 h; ② exchangeable fraction: the solid residue from ① was extracted with 8 mL of 0.5 M MgCl2 (adjusted to pH 7.0 using NaOH or HCl) and shaken for 20 min; ③ acidic soluble fraction: the solid residue from ② was extracted with 8 mL of 1 M NaOAc (adjusted to pH 5.0 with HOAc) and shaken for 5 h at room temperature; ④ non-bioavailable fraction: the solid residue from ③ was digested with 9 mL of 36% HCl and 3 mL of 70% HNO3 for 16 h, then heated at 95 °C for 2 h. All reactions were carried out at room temperature and details are shown in Supporting Information.

Instrument

The formed minerals before and after the adsorption on to biochar were examined by XRD using a Bruker D8 diffractometer (Cu Kα; λ = 1.540 60 Å; 40 kV; 40 mA; and scanned from 5° to 65° at a speed of 0.02°/s). ATR-TR, a Nicolet iS5 Fourier-transform infrared spectrometer (Thermo Fisher Scientific Inc., Madison, USA), was used for spectra of the biochars. For a better visualization, asymmetric least squares fitting was conduct to subtract baselines (λ = 106 and P = 0.001). The concentrations of lead and zinc were analyzed by ICP-OES (Agilent 710). A calibration curve (1, 2.5, 5, 10, 25, and 50 mg/L) was prepared as the lead standard. The R2 value of the internal standard curve was 0.999.

Statistical Analysis

All adsorption experiments were conducted in triplicates. Means and standard deviations were calculated for each treatment. Adsorption isotherms were determined using the Langmuir and Freundlich non-linear models. Adsorption kinetics were fitted via pseudo first-order, second-order kinetic, and intraparticle diffusion models. The curve fitting was conducted by Origin Pro and spreadsheet offered by Gihan.[40] The equations of models were referred to Shen.[41]
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8.  Enhanced Pb immobilization via the combination of biochar and phosphate solubilizing bacteria.

Authors:  Haoming Chen; Jiawen Zhang; Lingyi Tang; Mu Su; Da Tian; Lin Zhang; Zhen Li; Shuijin Hu
Journal:  Environ Int       Date:  2019-04-04       Impact factor: 9.621

9.  Phosphate-induced lead immobilization from different lead minerals in soils under varying pH conditions.

Authors:  Xinde Cao; Lena Q Ma; Satya P Singh; Qixing Zhou
Journal:  Environ Pollut       Date:  2007-06-29       Impact factor: 8.071

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