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Effects of aging processes on spent mushroom Substrate-Derived Biochar: Adsorption characteristics of Cd(II) and Cr(VI)
⁎Corresponding authors. liuxuesheng0105@163.com (Xuesheng Liu), wangwei123873@163.com (Wei Wang)
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Received: ,
Accepted: ,
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.
Abstract
To explore how chemical, physical and biological process impact the adsorption capacity of biochar for cations and anions, five kinds of spent mushroom substrate biochars including PB (carbonized Auricularia auricula substrate at 600 °C for 6 h), NB (Aged PB at 25 °C and 40 % moisture for 12 mon), AB (PB treated with 20 % mixed acid solution at 70 °C for 6 h), FB (PB subjected to 16 freeze–thaw cycles between − 20 °C and 25 °C) and MB (PB incubated with microbes from contaminated soil for 15 cycles) were prepared under simulated conditions, the internal mechanisms were revealed. Results showed that all aging processes caused a variation in crystal quantity and structure on different biochar. AB, NB and MB had higher hydrophilicity and polarity, and more positive charges than PB. Moreover, AB and MB had a higher cation exchange capacity (CEC) (70.7 and 75.3 cmol/kg) and more oxygen-containing functional groups than PB. MB has the maximum adsorption capacity for Cd(II) (24.2 mg/g), followed by PB (23.5 mg/g), FB (22.7 mg/g), NB (22.2 mg/g), and AB (22.0 mg/g). Langmuir model better described the Cd(II) adsorption onto NB, FB, and PB, while Freundlich better described AB and MB. As for Cr(VI), the maximum adsorption capacity followed the order: MB (24.1 mg/g) > AB (23.7 mg/g) > FB (23.5 mg/g) > PB (23.0 mg/g) > NB (22.7 mg/g). Langmuir model was better for Cr(VI) adsorption onto FB and PB, while Freundlich was better for AB, NB and MB. The pseudo-first-order kinetic model fits for Cd adsorption by FB,while the pseudo-second-order kinetic model fit for the adsorption of Cd and Cr by other biochars. The adsorption of Cr by all biochars was significantly related to the content of lactone group. Acidification and organic acids from microorganisms increased the pHPZC values of AB and MB, which was not conducive to the adsorption of Cd. The surface fragmentation of FB caused by the freezing and thawing process promoted its adsorption of Cd.
Keywords
Aging
Adsorption
Biochar
Cation
Functional groups
1 Introduction
Biochar refers to the product or outcome of the pyrolysis of carbon-rich solid biomass (Hou et al., 2022). Agricultural and forestry wastes (straw, wood chips, branches, leaves, etc.), urban sludge and livestock manure were all be raw materials for biochar (Zeghioud et al., 2022a). It exhibits a high degree of microporous structures and a large surface area. Owing to unique structural and physicochemical propertie, biochar has been extensively used in environmental protection (Chen et al., 2024; Xia et al., 2023; Wang et al., 2024), including soil remediation, water purification, wastewater treatment, as well as the adsorption of air pollutants.
Biochar possesses relative stable structure and is refractory in most cases, however it may experience the geochemical weathering process, known as “aging” due to activities of biological, chemical, and physical agents (Qian et., 2015). Numerous studies have demonstrated that aged biochar exhibits enhanced performance in the adsorption of metal ions attributed to the augmentation of functional group quantity, cation exchange capacity (CEC), and oxygen content (Zeghioud et al., 2022b; Zeghioud et al., 2023). However, the natural aging process takes a very long time, usually spanning several years. Consequently, simulating potential factors causing aging of biochar and investigating the impact of aging on the structure and properties of biochar are imperative to ensure the long-term effective use of biochar.
There are three main factors causing aging of biochar including physical, chemical, and microbiological. Physical aging can be achieved through washing, high temperature, and alternate wetting–drying or freezing-thawing treatment (Ke et al., 2023; Siatecka et al., 2023), which could significantly increase the ratio of O:C and change the functional groups including species and quantity on the surface of biochar. While chemical aging, also known as oxidation, involves treatments with oxidizing agents such as H2O2, H2SO4, and HNO3 (Jin et al., 2017; Krzyszczak et al., 2022; Meng et al., 2022). Higher concentration of oxidizing agent can not only induce new functional groups into biochar, e.g. introduction of –NO2 by HNO3, but also cause weight loss of biochar. Biological aging is mainly realized through microbial incubation, during which the decomposition of aliphatic C may release some disconnected aromatic moieties and develop many functional groups, such as carboxylic groups at the breaking points (Kuzyakov et al., 2014).
The aging process can affect the adsorption capacity of biochar for heavy metals. Research by Liang et al. (2024) showed that the aging process through accelerated freeze–thaw cycles, alternating dry wet cycles, and ultraviolet light treatment enhanced the cadmium adsorption capacity of rice and corn straw biochar by altering their physical and chemical properties, including decreased pH, disrupted surface structure, increased specific surface area, and enhanced polarity (Liang et al., 2024). Chemical reagents, such as ZnCl2 and H3PO4, rapidly increased the porosity and surface area of biochar, thus imparting a high adsorption capacity for cationic trace elements (Diaz-Diez et al., 2004; Sahin et al., 2015). Furthermore, aging sludge-derived biochar improved the sorption of Pb(II) and As(III) due to a higher density of oxygen-containing groups (Wang et al., 2017). On the other hand, Guo et al. (2014) found that aged biochar had a lower Cu(II) adsorption capacity compared to fresh biochar. This reduction was likely due to alterations in the quantity and nature of functional groups and a decrease in the biochar's specific surface area (Guo et al., 2014). While, the changes in surface properties were expected to reduce the adsorption of hydrophobic organic contaminants and anionic trace elements (Ghaffar et al., 2015). For example, aging biochar increased as solubility due to its abundant surface negative charges and the release of dissolved organic carbon (He et al., 2019). It can be seen that the impact of the aging process on the adsorption capacity of biochar is still uncertain.
Aging processes (natural aging, freeze–thaw cycles, acid treatment, microbial aging) can significantly alter the physical and chemical properties of biochar. By studying these changes, researchers can better predict the long-term behavior and stability of biochar in various environmental conditions. Previous studies mainly focus on the initial properties of fresh biochar, but ignore the changes of these properties evolved over time, which is crucial for practical applications, such as soil amendment and pollution remediation.
This study investigates the impact of aging process on the physicochemical properties of biochar and its adsorption characteristics for heavy metals, revealing the relationship between biochar aging and metal adsorption by HNO3/H2SO4 treatment, freezing-thawing, and microbial incubation as chemical, physical, and biological aging agents, respectively. The differences in physicochemical properties and adsorption performance for cation (Cd(II)) and anion (Cr(VI), exists as Cr2O72-) between the primary and aged biochars were determined and compared. FTIR and XRD were used to explore the difference in the adsorption mechanism for Cd(II) and Cr(VI) onto these biochars. To the best of our knowledge, no previous research elucidated the differences in adsorption mechanisms between primary and aged spent mushroom substrate-derived biochars for cationic and anionic metals. An comprehensive understanding of changes in structure and properties of biochar along with aging is important for its application in environmental pollution control.
2 Materials and methods
2.1 Preparation of biochar and aged biochar
The spent substrate of Auricularia auricula was sourced from Xiangfang Edible Fungi Plant in Harbin, China. Initially, the substrate was thoroughly washed with distilled water and subsequently dried in an oven at 60 °C overnight. The dried material was then crushed and passed through a 250 µm sieve (Dong et al., 2017). To prepare the primary biochar (PB), this powdered substrate underwent carbonization in a stainless steel incinerator under limited oxygen conditions. The process was conducted at 600 °C for 6 h (as higher deoxygenation reaction rate and adsorption capacity of biochar may be obtained at this temperature), with a heating rate of 10 °C per minute. Then the biochar was cooled to room temperature, ground through a 2.5 mm sieve, and stored in a sealed bag for further use (Gholizadeh et al., 2021).
Natural aging biochar (NB) was prepared by placing the PB in a glass container under natural light conditions at 25 °C and 40 % moisture content for 12 months. Certain heavy metal wastewaters, such as those from mining operations and electroplating industries, were acidic, which could simulate real-world conditions for biochar application. The acidified biochar (AB) was prepared by immersing 5 g of PB into 400 mL of 20 % mixed acid solution (HNO3:H2SO4 in a volume ratio of 1:3) at 70 °C for 6 h. The treated biochar was filtered and eluted with distilled water repeatedly until the elution pH remained constant at about 4 (Jin et al., 2017). For freeze–thaw biochar (FB), PB samples were sterilized and subjected to 16 freeze–thaw cycles between − 20 °C for 4 h and 25 °C for 20 h. For the microbial aging biochar (MB) samples were incubated with microbial inoculum isolated from heavy metal contaminated soil and experienced 15 cycles of microbial aging according to previous research (Hale et al., 2011).
2.2 Chemicals and reagents
All chemicals used in this study were analytical grade. The stock solution (1 g/L) of Cd(II) and Cr(VI) were prepared by dissolving 2.7442 g of cadmium nitrate [Cd(NO3)2·4H2O, 99.99 %] (Guangfu Fine Chemical, Tianjin, China) and 2.827 g potassium dichromate (K2Cr2O7, 99.8 %) (Guangfu Fine Chemical, Tianjin, China) in 1 L of deionized water, respectively, and the working solution at desired concentration was prepared by diluting the stock solution. The initial pH was adjusted with 0.1 M NaOH (Kermel Chemical Reagent Co., Ltd., Tianjin, China) or 0.1 M HCl (Pilot Chemical Co., Ltd., Shanghai, China) solution. The main components of the microbial culture medium include peptone (Aoboxing Biotechnology Co., Ltd, Beijing, China), NaCl (Kermel Chemical Reagent Co., Ltd., Tianjin, China) and tryptone (Aoboxing Biotechnology Co., Ltd, Beijing, China).
2.3 Adsorbent characterization
The surface morphology were examined with a scanning electron microscope (SEM, QUANTA200, USA). Fourier transform infrared (FTIR) spectrometer (Alpha, Bruker, Germany) was used to analyze the functional groups in the region of 4000 to 600 cm−1 at a sample/KBr ratio of 1/150. X-ray diffraction (XRD) analyzer (D/max2200 model, Hitachi, Japan) was employed to study the crystalline structure. The scans were performed between 5° and 90° with a scan rate of 5°/min and a step size of 0.02° at room temperature. Elemental analyzer (EA3000, Ovette, Italy) was used to quantitatively determine the content of C, H, O and N. The micro-electrophoresis apparatus (Zeta Sizer 3000, Malvern, Britain) was applied to measure the electronegativity (Zeta potential) of biochars. Boehm titration was used to determine the number of oxygen-containing functional groups on the surface of biochars (Boehm et al., 1964). Sodium acetate-flame photometric method was used to measure cation exchange capacity (CEC) (Chen et al., 2008). The heavy metal-loaded samples were obtained from batch experiments, filtered, and dried, with conditions as follows: metal concentration of 100 mg/L, initial pH of 5, and a dosage of 2 g/L; other conditions are detailed in section 2.4.
2.4 Adsorption experiments
In line with the results of our previous researches, the adsorption of Cd(II) and Cr(VI) was mainly affected by pH, initial concentration of metals, adsorbent dosage and so on (Dong et al., 2017; Song et al., 2017). In this study, the adsorption experiment was conducted at solution pH of 2 to 5, the initial concentration of 25 to 125 mg/L, the sorbent dosage of 1 to 5 g/L, the rotation speed of 160 r/min, 30 °C and 120 min. The concentration of Cd(II) or Cr(VI) in the solution was measured using atomic absorption spectrophotometry (AA-6800 model, Shimadzu-GL, Japan). The adsorption capacity (Q) and removal rate (R) for Cd(II) and Cr(VI) were calculated with the following equations:
The experiment data were fitted to Langmuir and Freundlich isotherm equations expressed as follows:
Langmuir isotherm equation (Langmuir, 1918):
3 Results and discussion
3.1 Characteristics of the biosorbents
3.1.1 Changes in surface morphology
The feedstock (consists of 85 % wood sawdust) for biochar preparation was selected for surface morphology observation. As shown in Fig. 1, PB exhibits clear fiber textures with sharp edges and larger fragments. NB also shows clear textures, but its edges are smoother compared to PB. The surface texture of AB is severely damaged, with no distinct edges. FB fibers are significantly fractured. MB fibers are covered with impurities.Surface morphology of different biochar.
3.1.2 Changes in elemental composition
Elemental composition and content of biochars before and after aging were displayed in Table 1. Compared with AB, NB, FB and PB, MB had a similar decrease in the contents of C and H and an increase in the contents of O and N. Among these five adsorbents, MB changed greatest in element content, for instance, the contents of C, H and H/C decreased by 8.63 %, 35.13 % and 29.01 %, respectively, and the content of O, N, O/C and (O+N)/C increased by 15.05 %, 38.92 %, 25.92 % and 27.53 %, respectively. Under the condition of acidification, the surface of biochar is easy to break and be oxidized quickly, while natural aging is a relatively mild and slow oxidation process. The ratio of O/C reflects the content of hydrophilic functional groups, while (O+N)/C represents the content of polar functional groups (Tan et al., 2015). The results showed that the number of oxygen-containing functional groups increased after the aging treatments, as well as the ratio of O/C (Lin et al., 2012). In addition, the hydrophilicity and the polarity of biochar were enhanced. The significant increase in N content of AB might be the result of HNO3 oxidation. The change in element content of FB was contrary to that of other three aged biochars, for example, the O and N contents decreased, while the C and H contents increased. The contents of C, H and H/C in MB increased by 3.49 %, 5.75 % and 2.17 %, respectively, while the content of O, N, O/C and (O+N)/C decreased by 5.40 %, 15.27 %, 8.59 % and 9.17 % respectively. The decrease in O/C and (O+N)/C of FB indicated that the destruction of hydrophilicity and polarity of biochar by freezing-thawing treatment. From the elemental composition analyses, the unstable C on the surface of biochar might be decomposed and depleted due to the action of temperature, moisture or microorganisms, resulting in a decrease in the C element. At the same time, the temperature and oxidation environment cause more oxygen-containing functional groups formed on the surface of the biochar, resulting in an increase in the O element and an increase in the O/C ratio (Salinas et al., 2000).
Biochar
Element content (%)
Element ratio
C
H
O
N
H/C
O/C
(O+N)/C
AB
55.82
2.32
39.43
2.43
0.4987
0.5295
0.5671
NB
57.21
2.50
37.83
2.46
0.5244
0.4959
0.5328
FB
61.42
3.13
33.73
1.72
0.6115
0.4119
0.4359
MB
54.23
1.92
41.03
2.82
0.4249
0.5674
0.6120
PB
59.35
2.96
35.66
2.03
0.5985
0.4506
0.4799
3.1.3 Changes in mineral structure
The XRD spectra of all samples are shown in Fig. 2. The five biochars (Fig. 2a) exhibit significant differences in the cellulose peaks between 20°-30° (2θ) (Hu et al., 2014; Liu et al., 2018), indicating that different aging conditions profoundly influence the cellulose of biochar. Comparing the spectra of each biochar with and without Cd and Cr (Fig. 2b, c, d, e, and f, respectively), it is found that no obvious new peaks are generated in the spectra after metal ions loaded, as shown in Fig. S1. Table 2 lists the top three Cd and Cr-containing crystals with the highest matching degree for each sample. Most of these crystals have high FOM values. Only Ca0.67Cd0.33CO3, CdSO3, Cd(S2O3)(H2O)2, and C6H12CrN3O12!3H2O in MB and PB have FOM values less than 10. This result indicates that the adsorbed Cd and Cr are difficult to form a large number of crystals. Therefore, in terms of crystals, the differences in the adsorption mechanism of these biochars cannot be compared.XRD spectra of various biochars (a), comparison of spectra of various biochars with their spectra after adsorption of two ions (b, c, d, e, and f).
Crystalline species
FOM values
PDF#
Crystalline species
FOM values
PDF#
AB-Cd
CdP2
99.9
43–1397
AB-Cr
MgCrO4
18.3
21–1256
C14H26CdN2S4
99.9
39–1720
K2Cr2O7
31.3
72–2200
C7H4CdO3
99.9
37–1561
MgCrO4
36.5
23–0383
NB-Cd
3CdSO4!8H2O
16.4
20–1087
NB-Cr
MgCrO4
34.6
72–1609
CdSO4(H2O)2.667
17.3
75–2081
K2Cr2O7
38.2
73–1609
Cd(S2O3)(H2O)2
29.4
87–0405
CrO(OH)
42.8
73–1479
FB-Cd
C112H128Cd10N4S20
21.0
36–1901
FB-Cr
K2CrP3O10!2H2O
17.4
43–1425
CdCO3
24.4
85–0989
C6H15CrO3
35.4
38–1507
CdSO4
31.6
85–0673
MgCrO4
36.2
21–1256
MB-Cd
Ca0.67Cd0.33CO3
9.6
72–1938
MB-Cr
K3CrO8
14.2
75–1032
CdH4(P04)2!2H2O
17.5
25–1460
MgCrO4
18.2
21–1256
CdSO3
19.3
78–1475
K2Cr2O7
23.3
76–0616
PB-Cd
CdSO3
8.6
29–0267
PB-Cr
C6H12CrN3O12!3H2O
4.1
38–1447
Cd(S2O3)(H2O)2
9.9
49–2263
CrPS4
10.7
71–0153
C4H6CdO5!3H2O
11.1
26–0240
(NH4)2Cr3O10
13.0
71–1705
3.1.4 Changes in electrical nature
The surface electrical nature of biochars can be reflected by Zeta potential. As shown in Fig. 3, the Zeta potentials on the biochars changed with the variation of pH. At pH 2, the Zeta potentials of AB, FB, MB and PB were 26.30, 5.42, 24.0, and 4.51 mV, respectively, indicating all these biochars had a positively charged surface. On the contrary, the Zeta potential value of − 9.06 mV illustrated that NB was negatively charged. The reduction in AB might be due to the introduction of a large amount of H+ in acidification process (Chingombe et al., 2005).
Zeta potentials of the different biochars.
The point of zero charge (pHPZC) is the pH value at which the net charge on the particle is zero or the particle possess equal number of positive and negative charges. Once this pH is reached, the particles do not move towards either the anode or the cathode in the electric field. In Fig. 3, the pHPZC values were approximately 3.74 (AB), 2.40 (FB), 3.21 (MB) and 2.16 (PB). When pH<pHPZC, the biochar combines with excess proton H+ in the solution to exhibit positive polarity, which is beneficial to anion adsorption, while at pH>pHPZC, the Zeta potential become negative which is conducive to cationic adsorption (Yuan et al., 2024).
3.1.5 Changes in oxygen-containing functional groups and CEC
During the aging process, the unsaturated aliphatic hydrocarbons and aromatic rings on the surface of the biochar are destroyed, and the oxygen-containing functional groups are introduced to change the CEC. Oxygen-containing functional groups are essential to participate in ion exchange and complexation during the adsorption of metal ions (Jin et al., 2020). Aging can change the type and amount of functional groups on the surface of biochar, affecting its adsorption efficiency. From Table 3, the content of oxygen-containing functional groups of PB was 1.83 mmol/g, that of AB and MB increased to 1.94 and 2.03 mmol/g, respectively, and that of NB and FB reduced to 1.58 and 1.75 mmol/g, respectively. Apparently, the content of phenolic hydroxyl groups was much less than that of carboxyl groups and lactone groups, because both microbial and acid treatment led to an oxidation reaction that increased the number of oxygen-containing functional groups. In addition, freezing-thawing cycles can reduce the number of oxygen-containing functional groups on biochar because the mechanical stress from the repeated expansion and contraction can disrupt the biochar's surface integrity, leading to the detachment or degradation of these functional groups.
Biochar
Oxygen-containing functional group (mmol/g)
Carboxyl
(mmol/g)Phenolic hydroxyl
(mmol/g)Lactone group
(mmol/g)CEC
(cmol/kg)
AB
1.94
0.73
0.47
0.74
70.7
NB
1.75
0.52
0.58
0.65
42.5
FB
1.58
0.58
0.26
0.74
41.1
MB
2.03
0.95
0.49
0.59
75.3
PB
1.83
0.68
0.32
0.83
62.3
CEC is an indicator of positive ion exchange capacity. The degree of development of CEC depends on the level of aging. The change trend of CEC among five adsorbents was similar to that of oxygen-containing functional groups. Compared with the CEC of PB, that of AB and MB increased by 13.48 % and 20.87 %, respectively, probably due to oxidation processes creating hydroxy and carboxylic oxygen-containing functional groups, while NB and FB decreased by 31.78 % and 34.03 %, respectively, which could be explained that oxygen-containing functional groups were difficult to dissociate, resulting in lower CEC. At the same time, during the freezing-thawing process there are loss of volatile components, which are found to have an acidic function, leading to the decrease of CEC. Since the O/C ratio can also characterize CEC of biochar, the smaller the O/C, the smaller the CEC (Shaaban et al., 2014). The same conclusion could be clearly seen from Table 3.
3.1.6 Changes in surface functional groups
FTIR analysis can explore the changes of surface functional groups. The Fig. 4 (a) shows the differences in functional groups of PB and various aged biochars from each other. The peak at 1610 cm−1 represented C=C stretching vibration of the aromatic and –NH (Wang et al., 2017). After four aging treatments, the absorption peak intensity decreased, which indicated that the content of substances with benzene ring decreased after aging treatment. Near 1570 cm−1, a new peak appeared in the spectrum of AB, which represented the vibration peak of –NO2 (Ding et al., 2014). This indicated that –NO2 formed on the surface of biochar during acidification and aging caused by the substitution of hydrogen ions by nitrate ions during the HNO3/H2SO4 treatment. The intensity of peak near 1410 cm−1 representing CO32– wagging vibration was weaken in AB and NB while strengthened in FB and MB (Cao et al., 2010; Rajapaksha et al., 2014). Peaks near 1320 cm−1 represented aromatic O-H oscillation in lignin (Chen et al., 2008), as seen in Fig. 4 (a), the intensities of these peaks in aged biochars were all weakened, indicating that the lignin content in these biochars was reduced after aging. The peaks around 1020 cm−1 corresponded P-OH (Kalinke et al., 2016), after aging treatment, the peaks of silicon-bearing groups fluctuated greatly, and that in NB changed most obviously, indicating that silicon-bearing groups were exposed by aging treatment. The stretching vibration peak at 780 cm−1 in AB, representing the C-H of the benzene ring, was weakened, indicating that the content of benzene ring decreased after acidification, which was consistent with the result of the decrease in benzene ring content at 1610 cm−1 (Kalinke et al., 2016).FTIR spectra of adsorbent (a), adsorbent-Cd (b), and adsorbent-Cr (c).
From the spectra in Fig. 4 (b) and (c), it was found that functional groups appeared after aging treatment played an very important role in Cd(II) and Cr(VI) adsorption. The functional groups including CO32– at 1410 cm−1, Si-O-Si at 1020 cm−1 and PO43- at 870 cm−1 (Liu et al., 2016) in MB changed greatly after the adsorption of two metal ions. For FB, the CO32– at 1410 cm−1 and Si-O-Si at 1030 cm−1 were significantly weakened after adsorbing Cd(II) and Cr(VI). For PB, the intensity of the peaks represented C=C and –NH near 1620 cm−1 was weakened after adsorbing Cd(II) and Cr(VI). At the same time, after adsorbing Cr(VI), the peak near 1320 cm−1 which represented O-H disappeared, indicating this functional group played an important role in the adsorption. After aging, all biochars had a significant weakness in ester Si-O-Si stretching vibration at 1020 cm−1 after adsorbing Cd(II) and Cr(VI). Oxygen-containing functional groups were very important electron-donating groups on the surface of biochar, and could participate in redox reactions (Hale et al., 2011; Zhang et al., 2020). In addition, protonated oxygen-containing functional groups could electrostatically attract Cr(VI) oxyanions under acidic conditions (Zhang et al., 2018). Great change of CO32– and PO43- after adsorption could be indicated that them could cause precipitation with metal ions, enhancing the adsorption capacity of BC for Cd(II) and Cr(VI) (Wang et al., 2019). In conclusion, the aging treatment greatly affects the variety and quantity of the surface functional groups involved in adsorption including Si-O-Si, CO32–, PO43-, –NH, and O-H. Mechanisms such as redox, electrostatic attraction, coprecipitation could be occurred in the adsorption process.
3.2 Batch experiments for Cd(II) and Cr(VI) removal
3.2.1 Effect of pH
The solution pH has a great influence on the adsorption for metal ions. From Fig. 5 (a), it could be seen that with the increase of pH from 2 to 5, Q values of five biochars for Cd(II) presented a ascendant trend. Obviously, at tested pH, the Q value of MB was the higher than other four biochars, and it was the maximum of 24.2 mg/g when the pH was 5, but when the pH was 2 the Q value was only 20.3 mg/g. AB had the lowest adsorption capacity, the Q value increased from 15.0 to 22.0 mg/g when pH was increased from 2 to 5, but it was still lower than other four biochars. The overall adsorption capacity for Cd(II) was in the following order: MB>PB>FB>NB>AB.Adsorption performance of biochars for Cd(II) (a) and Cr(VI) (b) at different solution pH (30 °C, 160 r/min, adsorbent dosage of 1 g/L, adsorption time of 120 min, initial concentration of 25 mg/L).
Fig. 5 (b) showed the trend of adsorption capacity of five biochars for Cr(VI) at different pH. It could be seen clearly that with the increased of pH, the adsorption capacity of the five biochars showed a downward trend. MB still perform best under different pH condition. The Q of MB reached 24.1 mg/g at pH 2, and decreased to 19.2 mg/g when the pH increased to 5. The lowest adsorption capacity for Cr(VI) was found in NB. When the pH increased from 2 to 5, the Q of NB decreased from 22.7 to 12.2 mg/g. The overall adsorption capacity for Cr(VI) was in the following order: MB>AB>FB>PB>NB.
It was also evident that MB exhibited good performance in both Cd(II) and Cr(VI) adsorptions at all tested pH values than other four biochars. Microorganisms can increase the activity of biochar by supplementing unstable organic compounds (such as glucose or fresh biomass), thereby increasing the adsorption of heavy metal ions (Keith et al., 2011; Pulsawat et al., 2003). Polysaccharides, nucleic acids and polypeptides formed by microbial bacteria metabolism also have HPO42-, OH– and COO– groups, which are conducive to electrostatic adsorption for metal ions (Pulsawat et al., 2003).
For the Cd(II) adsorption, with the increase of solution pH, the carboxylate and hydroxyl groups on the biochars were deprotonated, and then the density of negative charges increased, which led to a significant electrostatic attraction between positive metal ions and biochars. Therefore, the adsorption capacity increased with the increase of the pH value. This also explained why the adsorption capacity of AB was low, during the acidification process, a large number of acid radical ions were introduced, resulting in the lowering of the bichar pH. It had been reported that the alkalinity of biochar decreased after freezing-thawing and natural aging, which explained why the adsorption capacity of NB and FB for Cd(II) was lower than that of PB (Uchimiya et al.,2012). The same situation goes for the adsorption of Cr(VI). Under the condition of low pH, a large amount of H+ in the solution made the surface of biochar covered with a large number of positive charges, which were more conducive to adsorbing Cr(VI) (Sumathi et al., 2005). The lower the pH was, the higher the adsorption capacity was. However, with the increase of pH, the amount of OH– in the solution also increased, which neutralized the positive charges on the surface of biochar, and subsequently decreased the adsorption capacity of Cr(VI) (Mohan et al., 2006). Above Zeta potential and pHPZC analyses also explained why the optimum pH condition for Cd(II) adsorption was 5 and the optimum pH condition for Cr(VI) adsorption was 2. Of course, under strongly acidic conditions, a portion of Cr(VI) will be reduced to Cr(III), which can form complexes with water molecules and other ligands, further influencing the adsorption process.
3.2.2 Effect of initial ions concentration
The adsorption performance of biochars at different initial Cd(II) and Cr(VI) concentration was shown in Fig. 6. It could be seen that the adsorption capacity increased with the increase of initial concentration, no matter which kind of biochar or ion was tested. It is obvious that the adsorption capacity of MB was the highest at any initial concentration than that of other four biochar. For Cd(II), with the initial concentration increasing from 25.0 to 125.0 mg/L, the adsorption capacity of MB increased from 24.2 to 105.0 mg/g and its adsorption rate decreased from 96.8 % to 84.0 %. AB was the worst performer in Cd(II) adsorption, because its adsorption capacity only increased from 22.0 to 92.0 mg/g with the initial concentration increased from 25 to 125 mg/L, but its adsorption rate decreased from 88 % to 73.6 %. As for Cr(VI), with the initial concentration changing from 25.0 to 125.0 mg/L, the adsorption capacity of MB increased from 24.1 to 103.0 mg/g and the adsorption rate decreased by 14.0 %. NB had the lowest adsorption capacity (22.7 to 93.0 mg/g) and rate (90.8 % to 74.4 %) at all tested concentrations. When the mass of the aged biochars is constant and the concentration of adsorbate is equivalent, the number of effective adsorption sites on biochars determines their adsorption capacity for the same adsorbate (Cieslak-Golonka et a., 1996). Obviously, MB has the best adsorption capacity for both cationic Cd(II) and anionic Cr(VI), which is closely related to its high CEC and oxygen-containing functional group content (Table 3).Adsorption performance of biochars for Cd(II) (a) and Cr(VI) (b) at different initial concentration (25 °C, 160 r/min, adsorbent dosage of 1 g/L, adsorption time of 120 min, pH 5 (a) and 2 (b)).
3.2.3 Effect of biosorbent dosage
As shown in Fig. 7, with the increase of adsorbent dosage, all adsorption capacities showed a downward trend. For Cd(II), the adsorption capacity of the five biochars was in the following order: MB>PB>FB>NB>AB. Their maximum Q values were 24.2 mg/g, 23.5 mg/g, 22.7 mg/g, 22.2 mg/g, and 22 mg/g, respectively. For Cr(VI), the adsorption capacity of the five biochars was in the following order: MB>AB>FB>PB>NB. Their maximum Q values were 24.1 mg/g, 23.7 mg/g, 23.5 mg/g, 23 mg/g, and 22.7 mg/g, respectively. As seen in Fig. 7, with the increase of the adsorbent dosage, the declining trend of Q slowed down. As the dosage increased, the R value increased and gradually approached 100 %. At this time, it became difficult for the adsorbent to capture ions, so the Q value decreased.Adsorption performance of biochars for Cd(II) (a) and Cr(VI) (b) at different adsorbent dosage (25 °C, 160 r/min, adsorption time of 120 min, pH 5 (Cd) and 2 (Cr), initial concentration of 25 mg/L).
3.3 Adsorption isotherms
Langmuir model assumes that the adsorption is a monolayer surface adsorption with all same adsorption sites and completely independent adsorbed particles (Bassareh et al., 2023; Jiang et al., 2022). Therefore, an adsorption that conforms to Langmuir model is thought to be a monolayer adsorption. Freundlich model is a multi-layer adsorption model, assuming that the surface of the adsorbent is heterogeneous (Abdul et al., 2017). It was showed in Fig. 8, for the adsorption of Cd(II) and Cr(VI), the experimental data from all five adsorbents were well fitted with both isotherms in general, except a slight difference. For the adsorption of Cd(II), NB, FB and PB were better described by Langmuir model, while AB and MB were better described by Freundlich model based on their R2 values. The PB exhibits a relatively uniform surface with similar energy adsorption sites. Naturally aged biochar (NB) undergoes minor changes in surface properties while maintaining overall structural consistency, resulting in minimal differences in energy adsorption sites. Freeze-thaw cycles (FB) induced some physical structural changes, yet the homogeneity of adsorption sites remained largely unaltered. These treatments did not significantly diversify the surface active functional groups on biochars, thus aligning their adsorption characteristics with the Langmuir model's assumption of single-layer adsorption. Conversely, the Freundlich model suited AB and MB well because acid and microbial treatments significantly increased the diversity and complexity of adsorption sites, facilitating multilayer adsorption or adsorption on a heterogeneous surface. The larger the n value, the more effective the adsorption (Jin et al., 2020). It could be seen from Table 4 clearly that the n of MB was the highest among the biochars which meant that MB was the best adsorbent for Cd(II). According to n value, the order of a better adsorption for Cd(II) was MB>PB>FB>AB>NB. This is also consistent with the results described earlier. For the Cr(VI) adsorption, FB and PB were better described by Langmuir model, AB, NB and MB were better described by Freundlich model. The value of n was in the following order: MB>AB>FB>PB>NB, and the adsorption performance followed this order too. The Qmax values from Langmuir isotherm were all close to the experimental Qmax. A comparison of the Qmax among these five biochars and other biochars in the adsorption of Cd(II) and Cr(VI) were showed in Table 5, which confirms that the biochars described here have higher adsorption potential.Langmuir and Freundlich isotherm models for Cd(II) (a, b) and Cr(VI) (c, d) adsorption.
AB
NB
FB
MB
PB
Cd
Cr
Cd
Cr
Cd
Cr
Cd
Cr
Cd
Cr
Langmuir
Qmax (mg/g)
112.0
104.0
122.3
103.6
120.3
106.5
95.7
97.2
114.6
118.0
KL (L/mg)
0.08
0.22
0.08
0.12
0.11
0.19
0.41
0.36
0.17
0.12
R2
0.993
0.980
0.994
0.987
0.997
0.996
0.968
0.971
0.996
0.999
Freundlich
n
1.69
2.05
1.67
1.88
1.79
2.09
2.22
2.17
2.02
1.96
KF (mg/g)/(mg/L)1/n
11.81
21.36
12.47
14.83
15.25
21.09
27.19
25.75
20.69
17.92
R2
0.996
0.994
0.985
0.996
0.981
0.973
0.998
0.995
0.975
0.958
Cd
Cr
Adsorbent
Qmax
Reference
Adsorbent
Qmax
Reference
Daily manure biochar
51.4
(Xu et al., 2013)
Sugar beet tailing biochar
123.0
(Dong et al., 2011)
Oak bark biochar
5.4
(Mohan et al., 2007)
Coconut coir biochar
7.9
(Shen et al., 2012)
Rice straw biochar
8.6
(Qian et al., 2015)
Wheat staw biochar
24.6
(Aleksandra et al., 2015)
Pomelo peel
21.8
(Li et al., 2010)
Pineapple-peel-derived biochar
7.4
(Wang et al., 2016)
AB
112.0
This study
AB
104.0
This study
NB
122.3
NB
103.6
FB
120.3
FB
106.5
MB
95.7
MB
97.2
PB
114.6
PB
118.0
3.4 Adsorption kinetics
The pseudo-first-order kinetic model and pseudo-second-order kinetic model are shown in Fig. 9, and all parameters are shown in Table S1. In the adsorption of Cd and Cr by biochar, the R2 values of the pseudo-second-order kinetic model of most biochars are higher than the R2 values of the pseudo-first-order kinetic model, and the predicted qe values of the pseudo-second-order kinetic model are closer to the measured qe values. This shows that most reactions are more consistent with the characteristics of chemical adsorption. The adsorption of Cd by FB is a special case, its R2 value of the pseudo-first-order kinetic model is higher than that of the pseudo-second-order model, indicating its nature of physical adsorption. This may be due to the fact that the surface fragmentation of biochar exposed more sites for exchangeable cations.Kinetic models. a and b, pseudo-first-order kinetic models and pseudo-second-order kinetic models of Cd adsorption by biochar; c and d, pseudo-first-order kinetic models and pseudo-second-order kinetic models of Cr adsorption by biochar.
The adsorption mechanism mainly depends on the nature of cationic Cd (II) and anionic Cr (VI), which can be partly explained by the quantifiable chemical indicators. The results showed (Table S2) that the content of oxygen-cntaining functional group and carboxyl is significantly positively correlated with CEC. However, the Qmax of Cd and Cr has no significant correlation with CEC. This shows that the ion exchange mechanism alone cannot explain the differences between biochars. The lactone group content has a significant positive correlation with the Qmax of Cr, which proves the effect of lactone group on Cr. And, the carboxyl content is significantly negatively correlated with the Qmax of Cd, which is obviously contrary to the effect of carboxyl on cations. The reason is that AB and MB have higher pHPZC values, as well as higher content of oxygen-cntaining functional group and carboxyl. HNO3 and H2SO4 increased the pHPZC of AB, and the organic acids from microorganisms increased the pHPZC of MB, thus reducing their adsorption capacity for Cd. The content of functional groups that are beneficial to adsorption of FM is not high, so its adsorption advantage may be attributed to physical adsorption on the fragmented surface, which is consistent with the analysis of the kinetic model.
4 Conclusions
Microbial aging and acidified biochar led to an increase in oxygen-containing functional groups, CEC, Zeta potential, and a decrease in hydrophilicity and polarity. However, natural aging and freeze–thaw aging had the opposite effect on biochar. CO32–, PO43-, NH4+ and OH– played an important role in all adsorption processes, while the quantities and location of functional groups were various with different aging biochars. At the same time, different aging processes resulted in different quantities of crystal structures with the same functional groups on the surface of biochar. MB performed better in Cd(II) and Cr(VI) adsorption with an increase in adsorption capacity by 3.07 % and 4.78 % respectively than PB. Under the same conditions, the adsorption capacity of Cd(II) onto the five biochars followed the order: MB>PB>FB>NB>AB, while the adsorption capacity of Cr(VI) followed the order: MB>AB>FB>PB>NB. In conclusion, aging process greatly affect the adsorption characteristics of spent mushroom substrate-derived biochar, and microbial aging is beneficial to the adsorption of cationic Cd(II) on biochar, while microbial, chemical and physical aging are conducive to the adsorption of anionic Cr(VI).
Authors contributions
Chunhui Jiang and Shuo Huang prepared and presented the work, writing both the initial and revised manuscripts. Yue Li designed the methodology and analyzed the data. Yue Jiang prepared the biochar and reagents and managed instrumentation and resources. Tianlin Miao verified the results. Wei Wang conducted the experiments. Yu Jin analyzed the data using statistical and mathematical techniques. Xuesheng Liu and Juanjuan Qu conceptualized the research, formulating the goals and aims.
Funding
This work was supported by Heilongjiang Postdoctoral Fund (LBH-Z21109) and China Postdoctoral Science Foundation (2021 M700742).
CRediT authorship contribution statement
Chunhui Jiang: Writing – original draft. Shuo Huang: Writing – original draft. Yue Jiang: Resources. Yue Li: Resources. Tianlin Miao: Validation. Wei Wang: Formal analysis, Validation. Yu Jin: Data curation, Formal analysis, Software. Juanjuan Qu: Conceptualization, Writing – review & editing. Xuesheng Liu: Conceptualization, Funding acquisition, Methodology, Resources, Writing – review & editing.
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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Appendix A
Supplementary data
Supplementary data to this article can be found online at https://doi.org/10.1016/j.arabjc.2024.105926.
Appendix A
Supplementary data
The following are the Supplementary data to this article:Supplementary Data 1
Supplementary Data 1