Due to rapid urbanization and industrialization, combined pollution caused by BTEX (benzene, toluene, ethylbenzene, and xylene) and heavy metals has become ubiquitous in soils, which would pose serious health risks to humans. However, the effects of heavy metals on the sorption and desorption behaviors of BTEX have not been fully elucidated. In this study, the effects of Cu2+ and Pb2+ ions on the sorption and desorption of benzene onto humic acids and black carbons were investigated. The results showed that Cu2+ and Pb2+ ions significantly reduced the sorption capacity, slowed down the sorption rate, and made the desorption less hysteretic of benzene on both humic acids and black carbons. Furthermore, the inhibitory effects by Pb2+ were significantly stronger than those of Cu2+. By combining the results of Fourier transform infrared spectroscopy and the site energy distribution model, it can be speculated that the hydration shells of Cu2+ and Pb2+ ions partially cover the surface of humic acids and black carbons, blocking their micropores and shielding sorption sites, consequently inhibiting the sorption of benzene. This study highlights that coexisting metal cations can significantly influence the fate of BTEX in soils.

  • The coexistence of Cu2+ and Pb2+ ions inhibits benzene sorption and makes desorption less hysteretic onto humic acids (HAs) and black carbon (BCs).

  • The hydration shells of Cu2+ and Pb2+ ions hinder the interaction between benzene molecules and the sorption sites.

  • The adsorbed Cu2+ and Pb2+ ions block the pores of HAs and BCs and inhibit the pore-filling process of benzene.

BTEX (benzene, toluene, ethylbenzene, and xylene) is a high-priority pollutant of concern in urban soils (Eom et al. 2023). They are widely used in industrial applications and can be discharged into soil and groundwater through improper practices or accidental spills (Shahrokhi-Shahraki et al. 2020). The strong volatility and high water solubility of BTEX are critical factors influencing their fate in soil and groundwater, posing potential health risks to humans and ecological risks to the environment. Notably, benzene is a known human carcinogen that causes leukemia and is therefore regulated as a priority pollutant by the United States Environmental Protection Agency (Smith et al. 2000). Given that many BTEX-polluted sites also contain large amounts of heavy metals (Mohan et al. 2020; Shahrokhi-Shahraki et al. 2020), it is crucial to understand the effects of heavy metals on the fate of BTEX and to further determine the effects on their environmental risks in soils.

Sorption plays a critical role in the transport and transformation of BTEX in soils (Wang et al. 2022). Soil organic matter (SOM) is widely acknowledged as the primary sorption medium for pollutants, including BTEX and heavy metals (Zhao et al. 2019). The primary sorption mechanism for BTEX by SOM is believed to be the hydrophobic partitioning (Shih & Wu 2002; Tang et al. 2019), while complexation is considered the principal mechanism for heavy metals (Li et al. 2010). However, the distinct sorption mechanisms of BTEX and heavy metals may mutually interfere, ultimately affecting their fate and bioavailability in soils. Previous studies showed that the presence of heavy metals can lead to varied effects on the sorption behaviors of different organic pollutants. Some studies suggested that heavy metals may inhibit the sorption of certain organic pollutants onto SOM. For instance, Wang et al. (2009) reported that Cu2+ and Pb2+ ions significantly reduced the sorption of 2,4,6-trichlorophenol onto black carbon (BC) and two humic acids (HAs) due to the competitive sorption for the carboxylic, hydroxylic, and phenolic groups. Liu et al. (2012) similarly found that the hydration shells formed by the surface complexation of Cu2+ ions had a diminishing effect on the sorption of mefenacet by HAs. Furthermore, it was found that the pore blockage played a crucial role in reducing the sorption capacity of p-nitrophenol onto BC in the presence of Cu2+, Pb2+, and Zn2+ ions (Wang et al. 2011). On the other hand, the coexistence of heavy metal cations can also enhance the sorption of organic pollutants through other mechanisms, such as cation–π interaction between benzene rings and metal cations (Ali et al. 2022), or by decreasing the hydrophobicity of BC with soft cations like Ag+ ions (Chen et al. 2007). Therefore, the effects of coexisting heavy metal cations on the sorption behaviors of organic pollutants are often a result of diverse mechanisms.

Nevertheless, the effects of coexisting heavy metal cations on the sorption and desorption behaviors of BTEX onto SOM are not fully understood, which introduces significant uncertainty to the environmental risk assessment of BTEX in soil. Benzene serves as the basic unit of BTEX and can represent certain characteristics of other aromatic compounds. Copper (Cu2+) and lead (Pb2+) are prevalent heavy metals that often occur in high concentrations and may significantly affect the interactions between SOM and benzene. In this study, we investigated the sorption and desorption behaviors of benzene onto several SOM in the presence of Cu2+ and Pb2+ ions. This research aims to improve the understanding of the fate and bioavailability of BTEX in soil, providing valuable insights for environmental risk assessment. Fourier transform infrared spectroscopy (FTIR) and the site energy distribution (SED) model were also employed to elucidate the potential mechanisms through which Cu2+ and Pb2+ ions affect the sorption and desorption behaviors of benzene onto SOM.

Chemicals and materials

The organic reagents, including benzene, methanol, and n-hexane, were purchased from Aladdin BioChem Technology Company Limited (Shanghai, China). The benzene has a purity exceeding 99.7%, a vapor pressure of 12.7 kPa, and water solubility of 1,780 mg L−1 at 25 °C, which are critical physical properties affecting its sorption and desorption behaviors. The methanol and n-hexane solvents used in this study are of chromatographically pure quality. The inorganic reagents, such as heavy metal salts (CuCl2·2H2O and PbCl2), NaOH, and HCl, were of analytical grade and were procured from Sinopharm Chemical Reagent Company Limited (Shanghai, China).

Two experimental HAs, namely, THA (obtained from Tianjin Guangfu Fine Chemical Research Institute, Tianjin, China) and SHA (obtained from Shanghai Yuanye Biotechnology Company Limited, Shanghai, China), were purified following the method of the International Humic Substances Society (IHSS) and Johnson et al. (2002). BCs were produced from rice straw (DBC) and corn straw (YBC) through oxygen-limited pyrolysis at 600 °C for 4 h. The products were treated with 1 mol L−1 HCl four times, before purified in the mixture of HCl and HF (1:1). Finally, the BCs were washed with distilled water to remove soluble salts.

Characterization

The element contents (C, H, O, N, and S) of the experimental SOM were determined using the elemental analyzer (Vario MACRO, Elementar, Germany), while the ash contents were analyzed by burning them in a muffle furnace at 800 °C for 4 h (Jin et al. 2018). The specific surface area (SSA) and pore structure of the SOM were determined by nitrogen adsorption–desorption experiments conducted at 77 K using an AutoChem 2950 HP Chemisorption Analyzer (Micromeritics, USA). In addition, the FTIR spectra of the experimental SOM at different sorption processes were scanned in the transmission mode from 4,000 to 400 cm−1 (Nicolet 6700, Thermo Corp., USA).

Sorption and desorption experiments

The batch experiments were conducted in 40 mL screw-cap brown glass vials with silicone rubber septum-Teflon liners. One hundred milligrams of the experimental SOM were mixed with 40 mL background solution (containing 0.01 M CaCl2 and 0.1% methanol). The concentration of metal cations was held constant (0.01 M), while the amounts of benzene varied during sorption experiments. The mixed solution was maintained at 40 mL in the vials, which had a negligible headspace volume. In addition, the pH was set to 5 ± 0.1 by adding HCl or NaOH solution to eliminate the effects of hydrolytic acidification caused by the metal cations. Subsequently, all vials were sealed tightly before being rotated end-over-end for 4 h to reach sorption equilibrium (determined by preliminary experiments) at 20 rpm and 25 °C.

Desorption experiments were conducted using a sequential decant–refill technique immediately after the completion of sorption experiments. Specifically, 15 mL aliquots of the supernatant were quickly replaced with the same volume of fresh background solution. The resealed vials were then shaken for an additional 4 h. This desorption procedure was repeated twice.

Sorption kinetic experiments were performed in vials containing 100 mg L−1 benzene and 0.01 M metal cations. The sealed vials were rotated for 5, 15, 30, 60, 120, 240, 360, 480, and 600 min, respectively.

All experiments were repeated three times with a control group (lacking the SOM) employed for each trial. After each reaction process, the vials were centrifuged at 2,000 rpm for 10 min, and the benzene in the supernatant was extracted by n-hexane for further analysis.

Data analysis

The amount of benzene was determined by GC-FID (6890A, Agilent Technologies, USA). The injection and detection temperatures were set at 200 and 280 °C, respectively. The column temperature was initially maintained at 40 °C for 4 min and subsequently increased to 100 °C at 30 °C min−1. The concentration of benzene was quantified by peak area integration.

The effects of mass loss caused by degradation, photolysis, volatilization, and wall adsorption were found to be negligible (<5%), as determined by the parallel blank experiments. The sorption amounts of benzene onto the experimental SOM were calculated using the following equation based on the mass difference.
(1)
where qe (mg g−1) is the sorption amount at equilibrium, V (L) is the solution volume, and M (g) is the mass of sorbent. C0 (mg L−1) and Ce (mg L−1) are the initial and equilibrium aqueous-phase solute concentrations, respectively.
The Origin Pro 9.0 software was used to analyze the experimental data. The Langmuir, Freundlich, and Dubinin-Ashtakhov (DA) isotherm models were employed to fit the sorption data for the interpolation and limited extrapolation. The equations are shown as follows:
(2)
(3)
(4)
where Qm is the maximum sorption amount (mg g−1) and KL is a Langmuir constant (L mg−1) related to the affinity of the binding sites. KF is the Freundlich constant ((mg g−1) (mg L−1)−N) related to the sorption affinity of the sorbent, and N is the Freundlich constant related to surface heterogeneity. Q0 is the adsorption capacity (mg g−1), and ε (KJ mol−1) =RTln (Cs/Ce) is the effective adsorption potential. R is a gas constant (0.00831 kJ mol−1 K−1), T is the absolute temperature (K), Cs is the water solubility (mg L−1), and E (KJ mol−1) and m are parameters that can be used to identify the adsorption affinity (Yang et al. 2018).
The kinetic data were fitted by the pseudo-first-order and pseudo-second-order kinetic models. The kinetic model equation is shown as follows:
(5)
(6)
where qt is the sorption amount (mg g−1) at experimental time t (min), and k1 (min−1) and k2 (g mg−1 min−1) are the rate constant for the pseudo-first-order model and pseudo-second-order model, respectively.

Characterization of the SOM

Table 1 presents the elemental composition, ash contents, SSA, and pore capacity of the experimental SOM used in this study. The properties of the experimental SOM are evidently different. YBC and DBC have higher carbon contents than THA and SHA. The H/C atomic number ratio is usually applied to indicate the degree of aromaticity, with a smaller H/C ratio corresponding to a higher aromaticity of SOM (Hur et al. 2009). Therefore, the order of aromaticity among the four SOM samples was YBC > DBC > THA > SHA. Polarity is also an important property of SOM. YBC had the lowest polarity due to the lowest atomic ratios of O/C and (N + O)/C (Wang et al. 2017). Moreover, YBC had the fewest hydrophilic groups among the experimental SOMs, as indicated by its lowest atomic of O/C (Wang et al. 2011). The SSA, total pore volume (VT), and micropore pore volume (MC) of the two BCs were much higher than those of the two HAs, while their average pore size (APZ) was smaller. The SSA, VT, and MC of four SOM were ranked as YBC > DBC > THA > SHA, while the APZ showed THA > SHA > DBC > YBC. THA exhibited higher MC and APZ than SHA. This difference may be attributed to the greater number of macropores in THA, as evidenced by VT. These differences in the properties of four SOM would lead to different sorption characteristics for benzene.

Table 1

Basic characteristics of the experimental SOM

CharacteristicsTHASHADBCYBC
Ca (wt. %) 56.09 49.12 76.12 83.52 
Ha (wt. %) 4.46 4.17 2.29 1.99 
Oa,b (wt. %) 35.01 40.18 12.36 6.83 
Na (wt. %) 1.27 1.13 0.67 0.52 
Sa (wt. %) 0.59 0.57 0.20 0.16 
H/C 0.95 1.02 0.36 0.29 
O/C 0.47 0.61 0.12 0.06 
N/C 0.02 0.02 0.01 0.01 
(N + O)/C 0.49 0.63 0.13 0.07 
Ash (wt. %) 2.58 4.82 8.36 6.99 
BET-N2 specific surface area (m2 g−16.56 5.09 165.27 252.80 
Total pore volume (cm3 g−10.0254 0.0158 0.1357 0.1616 
Micropore volume (cm3 g−1) 0.0015 0.0004 0.0766 0.1136 
Micropore content (%) 5.91 2.53 56.45 70.30 
Average pore size (nm) 19.03 12.71 8.88 6.40 
CharacteristicsTHASHADBCYBC
Ca (wt. %) 56.09 49.12 76.12 83.52 
Ha (wt. %) 4.46 4.17 2.29 1.99 
Oa,b (wt. %) 35.01 40.18 12.36 6.83 
Na (wt. %) 1.27 1.13 0.67 0.52 
Sa (wt. %) 0.59 0.57 0.20 0.16 
H/C 0.95 1.02 0.36 0.29 
O/C 0.47 0.61 0.12 0.06 
N/C 0.02 0.02 0.01 0.01 
(N + O)/C 0.49 0.63 0.13 0.07 
Ash (wt. %) 2.58 4.82 8.36 6.99 
BET-N2 specific surface area (m2 g−16.56 5.09 165.27 252.80 
Total pore volume (cm3 g−10.0254 0.0158 0.1357 0.1616 
Micropore volume (cm3 g−1) 0.0015 0.0004 0.0766 0.1136 
Micropore content (%) 5.91 2.53 56.45 70.30 
Average pore size (nm) 19.03 12.71 8.88 6.40 

aDry sample.

bCalculated by difference.

Sorption isotherms

The fitting results (Table 2) demonstrated that the Langmuir, Freundlich, and DA models provided a good fit to the experimental data. According to the fitting results, the sorption characteristics of benzene onto four SOM were different. YBC with the higher aromaticity and lower polarity showed the stronger affinity for benzene sorption, indicating that the sorption capacity was positively correlated with aromaticity and negatively correlated with the polarity of the sorbent.

Table 2

Isotherm parameters for benzene sorption in the presence of Cu2+ and Pb2+ ions

Experimental conditionsFreundlich
Langmuir
DA
Thermodynamic
KFNR2QmKLR2Q0EmR2ΔG
THA Control 1.789 0.541 0.995 93.833 0.00301 0.991 86.281 10.768 1.291 0.999 −13.52 
0.01 M Cu2+ 1.330 0.545 0.995 74.206 0.00277 0.994 65.748 10.588 1.321 0.999 −13.32 
0.01 M Pb2+ 0.904 0.570 0.999 65.331 0.00218 0.989 59.470 10.145 1.119 0.999 −12.73 
SHA Control 1.498 0.546 0.994 82.585 0.00289 0.991 75.030 10.657 1.293 0.998 −13.42 
0.01 M Cu2+ 1.044 0.553 0.996 63.529 0.00258 0.992 56.536 10.450 1.263 0.999 −13.14 
0.01 M Pb2+ 0.777 0.561 0.997 51.709 0.00234 0.990 46.113 10.296 1.194 0.999 −12.90 
DBC Control 2.801 0.532 0.993 129.699 0.00355 0.992 120.980 11.072 1.370 0.998 −13.93 
0.01 M Cu2+ 1.682 0.559 0.995 102.941 0.00270 0.992 92.583 10.475 1.286 0.999 −13.26 
0.01 M Pb2+ 1.224 0.567 0.996 83.002 0.00242 0.993 73.054 10.263 1.259 0.999 −12.98 
YBC Control 3.256 0.527 0.991 140.937 0.00388 0.998 126.291 11.098 1.555 0.999 −14.15 
0.01 M Cu2+ 1.810 0.557 0.993 107.088 0.00285 0.997 92.607 10.458 1.429 0.999 −13.39 
0.01 M Pb2+ 1.219 0.572 0.994 85.161 0.00243 0.997 71.818 10.140 1.373 0.999 −12.99 
Experimental conditionsFreundlich
Langmuir
DA
Thermodynamic
KFNR2QmKLR2Q0EmR2ΔG
THA Control 1.789 0.541 0.995 93.833 0.00301 0.991 86.281 10.768 1.291 0.999 −13.52 
0.01 M Cu2+ 1.330 0.545 0.995 74.206 0.00277 0.994 65.748 10.588 1.321 0.999 −13.32 
0.01 M Pb2+ 0.904 0.570 0.999 65.331 0.00218 0.989 59.470 10.145 1.119 0.999 −12.73 
SHA Control 1.498 0.546 0.994 82.585 0.00289 0.991 75.030 10.657 1.293 0.998 −13.42 
0.01 M Cu2+ 1.044 0.553 0.996 63.529 0.00258 0.992 56.536 10.450 1.263 0.999 −13.14 
0.01 M Pb2+ 0.777 0.561 0.997 51.709 0.00234 0.990 46.113 10.296 1.194 0.999 −12.90 
DBC Control 2.801 0.532 0.993 129.699 0.00355 0.992 120.980 11.072 1.370 0.998 −13.93 
0.01 M Cu2+ 1.682 0.559 0.995 102.941 0.00270 0.992 92.583 10.475 1.286 0.999 −13.26 
0.01 M Pb2+ 1.224 0.567 0.996 83.002 0.00242 0.993 73.054 10.263 1.259 0.999 −12.98 
YBC Control 3.256 0.527 0.991 140.937 0.00388 0.998 126.291 11.098 1.555 0.999 −14.15 
0.01 M Cu2+ 1.810 0.557 0.993 107.088 0.00285 0.997 92.607 10.458 1.429 0.999 −13.39 
0.01 M Pb2+ 1.219 0.572 0.994 85.161 0.00243 0.997 71.818 10.140 1.373 0.999 −12.99 

Note: KF, Qm, Q0, KL, and E are presented in (mg g−1) (mg L−1)−N, mg g−1, mg g−1, L mg−1, and kJ mol−1, respectively. N and m are dimensionless parameters. ΔG is presented in kJ mol−1.

The sorption isotherms were best fitted by the DA model, indicating that the Dubinin–Polanyi theory (microporous filling theory) best explained the sorption process of benzene onto SOM. Based on the fitting results of the DA model, YBC and DBC exhibited significantly higher Q0 for benzene, which could be attributed to their more abundant pore structures. The Q0 predicted by the DA model was smaller than Qm predicted by the Langmuir model, indicating that the sorption mechanisms of benzene onto SOM included not only pore filling but also other mechanisms such as surface adsorption.

The fitting results from the Freundlich model indicated that all four SOM exhibited nonlinearity in benzene sorption, and YBC showing the highest nonlinearity, followed by DBC, THA, and SHA. The nonlinearity coefficient N is associated with both the energy distribution of sorption sites and the physical structure and maturity of the SOM surface (Weber et al. 1999). Therefore, the smallest N value of YBC suggests that it has the most inhomogeneous energy distribution of the sorption sites and may have a higher maturity and denser structure (Zhang et al. 2009). According to Table 2, YBC had the highest KF, also indicating that it had the highest affinity for benzene. This may be attributed to the larger SSA and greater pore structure of YBC, thereby offering more sorption sites for benzene.

The Langmuir model is often employed to estimate the maximum sorption capacity (Qm) of the sorbent onto sorbate. The results indicated that SOM with a large SSA and more porous structure had a higher Qm for benzene. And the order of polarity and hydrophilic functional group content of four SOM is exactly opposite to the order of Qm, indicating that the benzene sorption onto SOM might occur in nonpolar carbon and hydrophobic regions.

The sorption isotherms of benzene onto four experimental SOMs in the presence of Cu2+ and Pb2+ ions are shown in Figure 1. The inhibitory effects of Cu2+ and Pb2+ ions on the sorption of benzene onto four experimental SOMs were similar. The variations in the fitted parameters KF, Qm, and Q0 indicated the different inhibition strengths of Cu2+ and Pb2+ ions, and the inhibition effect of Pb2+ was stronger than that of Cu2+. Specifically, the Qm and Q0 of four SOM decreased by 20.92%, 23.80% (THA), 23.07%, 24.65% (SHA), 20.63%, 23.47% (DBC), and 24.02%, 26.67% (YBC), respectively, after adding Cu2+ ions to the sorption system. As for Pb2+ ions, the sorption amount decreased by 30.38%, 31.07% (THA), 37.39%, 38.54% (SHA), 36.00%, 39.61% (DBC), and 39.58%, 43.13% (YBC), respectively. Furthermore, the decrease in Q0 was found to be greater than the decrease in Qm, indicating that the inhibition effect of Cu2+ and Pb2+ ions on the pore-filling process may be the main reason for the decrease in benzene sorption onto four SOMs. The inhibition effect of Cu2+ and Pb2+ ions on the sorption process of two BCs was stronger than that on two HAs. This may be because BCs contain more pores, and the pore-filling process is crucial for the sorption of benzene onto BCs. Moreover, all sorption isotherms exhibited nonlinearity with the values of N between 0.1 and 1, indicating the favorable sorption processes of benzene onto the four SOMs in the absence and the presence of Cu2+ and Pb2+ ions (Chien et al. 2010). The values of N increased in the presence of Cu2+ and Pb2+ ions, suggesting that Cu2+ and Pb2+ ions can reduce the nonlinear sorption sites of benzene onto SOM and make the partitioning effect more important during the sorption process. This phenomenon reflected that the presence of heavy metal cations can alter the strength of the different sorption mechanisms for benzene onto SOM (Chen et al. 2007).
Figure 1

Sorption isotherms for benzene onto four SOMs in the absence and presence of 0.01 M Cu2+ and Pb2+ ions. Error bars represent ± SD.

Figure 1

Sorption isotherms for benzene onto four SOMs in the absence and presence of 0.01 M Cu2+ and Pb2+ ions. Error bars represent ± SD.

Close modal
The thermodynamic parameter, Gibbs free energy ΔG (kJ mol−1), can be determined using the Van't Hoff equation (Zhang et al. 2014). The formula for the Van't Hoff equation is as follows:
(7)

Among them, K (L mol−1) is the equilibrium constant of the sorption process, which is converted from the Langmuir model parameter KL (L mg−1).

The ΔG value below 0 indicates that the sorption process is spontaneous, and the smaller value reflects a more energetically favorable sorption process (Pavlović et al. 2022). The calculated results of the ΔG were ranged from −14.15 to −12.73 kJ mol−1, confirming that Cu2+ and Pb2+ ions did not change the thermodynamically favorable and spontaneous of the sorption processes. The calculated results fell within the range of −20 to 0 kJ mol−1, indicating that the physical adsorption of benzene occurred onto the four SOMs in the presence of Cu2+ and Pb2+ ions (Xu et al. 2021). The reduction in Gibbs free energy with the addition of Cu2+ and Pb2+ ions also revealed that these cations inhibited the adsorption of benzene onto organic matter.

Sorption kinetics

Figure 2 demonstrates the effects of Cu2+ and Pb2+ ions on the sorption kinetics of benzene onto four SOMs. It was observed that the sorption processes can be divided into two stages before reaching equilibrium whether Cu2+ or Pb2+ ions were present. However, the equilibrium time of benzene sorption onto four SOMs did not change significantly in the presence of Cu2+ and Pb2+ ions. Therefore, to compare the effects of Cu2+ or Pb2+ ions on the sorption kinetics of benzene onto four SOMs, the kinetic data were fitted by the kinetic models.
Figure 2

Sorption kinetics of benzene on two HAs in the absence and presence of 0.01 M Cu2+ or Pb2+ ions. Error bars represent ± SD. (I) rapid sorption stage, (II) slow sorption stage, and (III) stabilization stage.

Figure 2

Sorption kinetics of benzene on two HAs in the absence and presence of 0.01 M Cu2+ or Pb2+ ions. Error bars represent ± SD. (I) rapid sorption stage, (II) slow sorption stage, and (III) stabilization stage.

Close modal

The fitting results showed that the sorption rates (k1 and k2) of benzene on both two HAs decreased after adding Cu2+ or Pb2+ ions (Table 3). As for HAs, the pseudo-first-order kinetic model fitted better, indicating that the hindrance of the diffusion process by Cu2+ or Pb2+ ions was the main reason for the inhibiting effects on benzene sorption. In contrast, the fitting results reflected that the sorption processes of benzene onto the two BCs were governed by both two stages of fast and slow sorption, as evidenced by the better fitness for the pseudo-second-order kinetic model. The addition of Cu2+ or Pb2+ ions inhibited the diffusion and pore-filling processes, thereby reducing the sorption rate of benzene on BCs.

Table 3

Kinetic parameters for benzene sorption in the presence of Cu2+ and Pb2+ ions

Experimental conditionsPseudo-first-order model
Pseudo-second-order kinetic model
qek1R2qek2R2
THA Control 20.081 0.160 0.985 20.764 0.014 0.955 
0.01 M Cu2+ 14.941 0.119 0.983 15.537 0.013 0.969 
0.01 M Pb2+ 12.511 0.074 0.994 13.114 0.009 0.959 
SHA Control 16.718 0.094 0.980 17.456 0.009 0.958 
0.01 M Cu2+ 12.860 0.085 0.981 13.435 0.008 0.970 
0.01 M Pb2+ 10.667 0.078 0.990 11.196 0.008 0.977 
DBC Control 27.829 0.059 0.881 29.071 0.003 0.996 
0.01 M Cu2+ 20.157 0.039 0.935 21.164 0.002 0.992 
0.01 M Pb2+ 15.976 0.025 0.973 16.966 0.002 0.990 
YBC Control 30.660 0.059 0.706 32.039 0.003 0.941 
0.01 M Cu2+ 22.153 0.047 0.813 23.211 0.002 0.973 
0.01 M Pb2+ 18.268 0.031 0.879 19.160 0.002 0.976 
Experimental conditionsPseudo-first-order model
Pseudo-second-order kinetic model
qek1R2qek2R2
THA Control 20.081 0.160 0.985 20.764 0.014 0.955 
0.01 M Cu2+ 14.941 0.119 0.983 15.537 0.013 0.969 
0.01 M Pb2+ 12.511 0.074 0.994 13.114 0.009 0.959 
SHA Control 16.718 0.094 0.980 17.456 0.009 0.958 
0.01 M Cu2+ 12.860 0.085 0.981 13.435 0.008 0.970 
0.01 M Pb2+ 10.667 0.078 0.990 11.196 0.008 0.977 
DBC Control 27.829 0.059 0.881 29.071 0.003 0.996 
0.01 M Cu2+ 20.157 0.039 0.935 21.164 0.002 0.992 
0.01 M Pb2+ 15.976 0.025 0.973 16.966 0.002 0.990 
YBC Control 30.660 0.059 0.706 32.039 0.003 0.941 
0.01 M Cu2+ 22.153 0.047 0.813 23.211 0.002 0.973 
0.01 M Pb2+ 18.268 0.031 0.879 19.160 0.002 0.976 

Note: qe, k1, and k2 are in mg g−1, min−1, and g mg−1 min−1, respectively.

Desorption hysteresis

Desorption is the reverse process of sorption, and it can provide further insights about the interactions between benzene and four SOMs, especially in the presence of Cu2+ and Pb2+ ions. The desorption isotherms of benzene onto the four SOM were also fitted well by the Freundlich model (Figure 3). The hysteresis index (HI), defined as the ratio of Nd/Ns, was calculated based on the Freundlich coefficients for desorption and sorption isotherms. A smaller HI value indicates a more pronounced hysteresis effect (Martins et al. 2018).
Figure 3

Effect of Cu2+ and Pb2+ ions on the desorption of benzene from the four SOMs. Error bars represent ± SD.

Figure 3

Effect of Cu2+ and Pb2+ ions on the desorption of benzene from the four SOMs. Error bars represent ± SD.

Close modal

The results indicated that the desorption of benzene exhibited hysteresis in all cases. The changing trends of HI values suggested that the desorption process was less hysteretic when benzene concentration increased gradually, but became more hysteretic at high concentration. These trends can be explained by the different sorption processes of benzene onto solid SOM (Chang et al. 1997; Wang et al. 2009). Briefly, a large percentage of benzene molecules preferentially tend to bind with the high-energy sites onto the surface of SOM, resulting in weaker desorption at lower concentrations. As the concentration gradually increases, more benzene molecules would be desorbed easily since they tend to occupy the low-energy binding sites through forming multilayer adsorption or partitioning into SOM. At the highest concentration, some benzene molecules may penetrate the SOM matrix and adsorb onto additional high-energy sites of the interior surface, which makes the desorption of benzene difficult again.

The effects of Cu2+ and Pb2+ ions on the benzene desorption from four SOM were similar. Cu2+ and Pb2+ ions could promote the desorption of benzene as indicated by the HI values. This suggested that Cu2+ and Pb2+ ions could shield the high-energy sites for benzene sorption. Furthermore, the HI values of HAs were generally higher than those of BCs, indicating that the benzene desorption from HAs was relatively easier. This could be attributed to the less high-energy sites on HAs.

Sorption mechanisms

FTIR is an effective tool to study the interactions between the SOM, heavy metals, and benzene molecules. Figure 4 shows that some band changes were observed in the spectra after the sorption experiments, indicating the successful sorption of benzene and the two heavy metal ions onto four SOM samples.
Figure 4

FTIR spectra of the four SOM samples before and after sorption experiments. (a) SOM samples alone, (b) SOM samples with sorbed benzene, (c) SOM samples with sorbed Cu2+ ions, and (d) SOM samples with sorbed Pb2+ ions.

Figure 4

FTIR spectra of the four SOM samples before and after sorption experiments. (a) SOM samples alone, (b) SOM samples with sorbed benzene, (c) SOM samples with sorbed Cu2+ ions, and (d) SOM samples with sorbed Pb2+ ions.

Close modal

The vibrational sorption peaks of the benzene ring C = C skeleton around 1,580 cm−1 for four SOMs were shifted after the sorption experiments. The sorption peaks of the SOM samples after the benzene sorption were red shifted, possibly due to the π–π electron donor–acceptor (π–π EDA) interaction between the benzene molecule and the benzene ring of SOM (Dai et al. 2018). The sorption peaks of the SOM samples after the sorption of Cu2+ and Pb2+ ions were also shifted, likely due to the cation–π bonding (Nzediegwu et al. 2021), which can affect the electron cloud distribution of the benzene ring skeleton structure (Kawamoto 2017). In addition, the sorption peaks of the aromatic ring C-H bending vibration around 790 cm−1 in the SOM samples adsorbed with benzene, Cu2+, and Pb2+ ions were blue shifted, further confirming that benzene, Cu2+, and Pb2+ ions were successfully sorbed onto the SOM samples (Ringwald & Pemberton 2000).

The FTIR spectra of all four SOM samples had the broadband around 3,400 cm−1 corresponding to the stretch of the -OH group. The intensity of the band (-OH group) of four SOM samples after benzene sorption did not show significant changes, while the sorption peaks of the SOM samples with adsorbed heavy metals were weakened, indicating that the -OH group was involved in the sorption process of Cu2+ and Pb2+ ions (Cwielag-Piasecka et al. 2018). Additionally, the enhanced peaks (1,380 cm−1) related to the symmetric stretching vibrations of the COO group were observed in two HAs, suggesting that the carboxyl groups also played a role in the sorption process of Cu2+ and Pb2+ ions (Zhao et al. 2019). The sorption peaks of the four SOM samples before and after benzene sorption showed variations in the region concentrated at 1,580 and 790 cm−1, indicating that the sorption sites for benzene were mainly in the aromatic carbon region and the sorption forces included hydrophobic interactions (Dai et al. 2018).

Based on the results of FTIR analysis, the mechanisms of benzene sorption onto SOM include π–π EDA interaction and hydrophobic partitioning. Cu2+ and Pb2+ ions would interact with the functional groups of SOM, thus affecting the interaction between SOM and benzene.

To better understand the sorption process on the four SOMs, the SED model (Carter et al. 1995; Wang et al. 2005) was employed. Considering that the sorption data were fitted well by the Freundlich model, the common Freundlich model proposed by Carter et al. (1995) was used to characterize the change of site energy distributions:
(8)
where F(E*) is the site energy distributions ((mg mol) (kg J)−1), and E* is the difference of sorption energy (kJ mol−1) at Ce and that at Cs.
Following the approximation method proposed by Cerofolini (1974), the relationship between the Ce and E* is described in the following equation:
(9)
By substituting Equations (3) and (8) into Equation (9), F(E*) of the sorption process can be derived. The site energy distributions of benzene sorption onto the four SOMs are illustrated in Figure 5. The site energy for benzene sorption decreased after adding Cu2+ or Pb2+ ions, indicating that Cu2+ or Pb2+ ions can hinder sorption sites of benzene. The broader energy distributions observed in benzene sorption on BCs suggested that there are specific forces other than hydrophobic partitioning involved in the sorption process. The wider energy distribution of sorption sites on YBC may be attributed to its higher aromatic carbon content, which favors π–π EDA interaction during sorption process (Zhu & Pignatello 2005). The presence of Cu2+ and Pb2+ ions had a greater effect on the site energy distributions of BCs than that of HAs, indicating that there is more energy heterogeneity in the interaction between the BCs and benzene.
Figure 5

Energy distribution of benzene sorption onto the four SOMs in the absence and presence of Cu2+ or Pb2+ ions. Error bars represent ± SD.

Figure 5

Energy distribution of benzene sorption onto the four SOMs in the absence and presence of Cu2+ or Pb2+ ions. Error bars represent ± SD.

Close modal

Previous experiments have shown that Cu2+ and Pb2+ ions predominantly form inner complexes through interactions with carboxyl or hydroxyl groups (Wang et al. 2009). The binding of Cu2+ and Pb2+ ions to the acidic functional groups of SOM can act as a bridge bond, thereby reducing particle and pore size of SOM in the reaction system. Combining the results of FTIR and the SED model, it was speculated that the hydrated layer of adsorbed Cu2+ and Pb2+ ions would occupy the surface of SOM and prevent the interactions between the sorption sites and benzene molecules, thereby inhibiting the sorption process of benzene (Chen et al. 2008; Wang et al. 2011).

Moreover, the hydrated Cu2+ and Pb2+ ions may occupy and block the pores of SOM, thus inhibiting the pore-filling process of benzene. The diameter of the benzene molecule is 0.59 nm (Lu et al. 2020), while the diameters of the hydrated Cu2+ and Pb2+ ions are 0.40 and 0.42 nm, respectively (Nightingale 1959). Based on the results of the pore size analysis, it can be concluded that most of the pores in the four SOM can accommodate benzene molecules, as well as hydrated Cu2+ and Pb2+ ions. Therefore, if some pores on the SOM surface are occupied by hydrated Cu2+ or Pb2+ ions, the sorption of benzene may be inhibited because benzene molecules can hardly penetrate through the hydration shell of the metal cations (Liu et al. 2013).

Based on the aforementioned discussions, it can be speculated that the inhibition mechanisms of coexisting Cu2+ and Pb2+ ions on the benzene sorption by SOM are as follows: (1) Cu2+ and Pb2+ ions adsorb by the acidic function groups of SOM, reducing the particle and pore size of SOM via the bridging effect, (2) the hydrated layer of adsorbed Cu2+ and Pb2+ ions occupy the surface of SOM and hinder the interaction between benzene molecules and the sorption sites of SOM, and (3) the adsorbed Cu2+ and Pb2+ ions block the pores of SOM, thereby inhibiting the pore-filling process of benzene.

This study elucidated that the coexistence of Cu2+ and Pb2+ ions can inhibit benzene sorption and make desorption less hysteretic onto HA and BC. Combined with the results of FTIR and the SED model, it was speculated that the unfavorable structure for benzene sorption was formed by Cu2+ and Pb2+ ions. The findings of this study suggested that the presence of Cu2+ and Pb2+ ions may enhance the mobility of benzene and increase its environmental risks in soils. This study contributes to a better understanding of the environmental fate of BTEX in soil.

The authors gratefully acknowledge the State Key Laboratory of Biogeology and Environmental Geology of China University of Geosciences (Wuhan) for data testing during the experiments.

Zhi Tang: entire experimental works, data evaluation, writing, editing, and funding acquisition. Sen Yang: consulting, data evaluation, and writing. Yilian Li: consulting, project administration, and funding acquisition. Juan Du: data evaluation and writing. Yangfu Xiong and Shengbo Fu: consulting and project administration. All authors read and approved the final manuscript.

This research was supported by the National Natural Science Foundation of China (NSFC, No. 42077186), the Hubei Provincial Natural Science Foundation of China (No. 2023AFD222), the Science and Technology Project of Hubei Geological Bureau (No. KJ2023-30), and the Science and Technology Project of Six Geological Team of Hubei Geological Bureau (No. DKJ2022-02).

Data cannot be made publicly available; readers should contact the corresponding author for details.

The authors declare there is no conflict.

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