Haoming Chen1,2, Yao Peng3, Lingyi Tang2, Fangfang Min1, Muhanmaitijiang Nazhafati1, Chen Li1, Jian Ge1, Haihou Wang4, Junji Li1. 1. School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. 2. College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China. 3. China Design Group Environmental Technology Co., Ltd, Nanjing 210008, China. 4. Taihu Research Institute of Agricultural Sciences, Suzhou 215100, Jiangsu, China.
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.
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.
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 biochar
single-cation
bi-cation
multi-ion
Pb2+
particle size >0.165 mm
11.416
19.721
20.616
particle size: 0.025–0.165 mm
11.215
24.966
26.695
particle size <0.025 mm
11.974
29.018
26.694
Zn2+
particle size >0.165 mm
6.526 (12.152)
0.01
18.235
particle size: 0.025–0.165 mm
6.482 (12.237)
0.006
18.067
particle size <0.025 mm
7.172 (12.211)
0.37
18.600
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]
Authors: Ruilun Zheng; Cui Li; Guoxin Sun; Zubin Xie; Jie Chen; Juying Wu; Qinghai Wang Journal: Environ Sci Pollut Res Int Date: 2017-08-11 Impact factor: 4.223
Authors: Zhengtao Shen; Deyi Hou; Bin Zhao; Wendi Xu; Yong Sik Ok; Nanthi S Bolan; Daniel S Alessi Journal: Sci Total Environ Date: 2017-11-29 Impact factor: 7.963
Authors: Md Shahinoor Islam; Jin-Hyeob Kwak; Christopher Nzediegwu; Siyuan Wang; Kumuduni Palansuriya; Eilhann E Kwon; M Anne Naeth; Mohamed Gamal El-Din; Yong Sik Ok; Scott X Chang Journal: Environ Pollut Date: 2021-04-07 Impact factor: 8.071
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