The adsorption and desorption kinetics of antibiotics on natural soils in various aqueous solutions are crucial for understanding their occurrence, transport, and bioavailability in the environment. This study investigated the adsorption and desorption kinetics of three fluoroquinolone carboxylic acids (FQCAs), namely ciprofloxacin, ofloxacin, and levofloxacin, on red clay soil using batch experiments conducted with pure water, treated wastewater effluent, lake water, river water, and stormwater runoff. The research identified pH, electrical conductivity (EC), and organic suspended solids (OSS) as primary water quality parameters that negatively impacted the adsorbed and desorbed masses of FQCAs at equilibrium. Higher pH, EC, and OSS significantly reduced the initial adsorption rates and adsorption efficiencies and promoted initial desorption and desorption efficiencies. FQCAs adsorption processes exhibited a rapid phase mainly governed by external mass transfer and a slower phase primarily limited by intra-particle diffusion, both influenced by boundary layer effects. The adsorption removal of FQCA's ranged from 65.82 to 98.33%, but desorption was only 1.35–3.09%. These findings highlight the potential of red clay soil as an effective and environmentally friendly adsorbent for mitigating FQCA pollution. Future research should focus on investigating FQCA degradation after adsorption in soil and their transport dynamics under diverse field conditions.

  • Measured qe and average adsorption rate over the first 20 s showed strong negative correlations with pH (pH > 7), electrical conductivity, and organic suspended solids.

  • The qe of ciprofloxacin, ofloxacin, and levofloxacin was higher in pure water (PW) and lower in treated wastewater and lake water.

  • Both adsorption and desorption exhibited a fast phase and a slower phase.

  • High adsorption capacities and low desorption were observed.

  • Lower desorption was observed in PW.

Antibiotics have garnered global attention due to their negative impacts on various ecosystems and human health (Yu & Wu 2020; Kumar et al. 2023; Oyekunle et al. 2023). One of the most significant concerns regarding antibiotics is their potential to promote antibiotic-resistant bacteria, posing a serious threat to public health (Zhao et al. 2021; Franklin et al. 2022). Antibiotics can affect the growth and reproduction of aquatic organisms, potentially causing a decline in aquatic biodiversity (Van Doorslaer et al. 2014; Mukhopadhyay et al. 2022). Furthermore, they can impact the growth of nitrifying bacteria in the soil environment, leading to reduced soil fertility and crop yields (Franklin et al. 2022). Fluoroquinolone carboxylic acids (FQCAs) are a class of fluoroquinolone antibiotics widely utilized as broad-spectrum antibacterial medicines for human and veterinary use (Bhatt & Chatterjee 2022). Among the FQCAs, ciprofloxacin (CIP), ofloxacin (OFL), and levofloxacin (LEV) are frequently used in human and veterinary medicine to treat a variety of bacterial infections, including respiratory, gastrointestinal, and urinary tract infections (Bhatt & Chatterjee 2022). Due to their moderately hydrophilic property with solubilities higher than 1 g/L in water, these FQCAs are frequently detected in wastewater treatment plants and various surface water bodies worldwide (Van Doorslaer et al. 2014; He et al. 2015; Bhatt & Chatterjee 2022).

Predicting and controlling potential environmental and health risks caused by FQCAs necessitates investigating the adsorption and desorption kinetics of FQCAs on natural soils (Franklin et al. 2022). Such investigations are essential for understanding their occurrence, removal, transport, and risk in the environment (Franklin et al. 2022). These investigations also aid in developing strategies aimed at conserving the global water environment (Franklin et al. 2022). Investigating the adsorption and desorption kinetics of FQCAs by soils can provide valuable insights for developing innovative, cost-effective, environmentally friendly, and sustainable soil-based adsorbents used to effectively mitigate FQCA pollution across various water bodies.

Numerous studies have investigated the adsorption behavior of FQCAs on various soils or soil components, including OFL on kaolinite (Li et al. 2017b), OFL on calcined Verde-lodo bentonite clay in Brazil (Antonelli et al. 2020), OFL on agricultural and forested soils located in the Penn State of the USA (Franklin et al. 2022), and OFL on soils in Yunnan Province of China (Pan et al. 2012). However, recent literature searches and reviews show that there are no studies reported on the adsorption and desorption behavior of CIP, OFL, and LEV on red clay soils. These soils exhibit a red color due to their high iron content and are extensively distributed globally, notably in the area of the Loess Plateau of China. Moreover, most prior research on antibiotic adsorption to soils has been conducted using pure water (PW) solutions spiked with antibiotics. It is well known that the primary routes through which antibiotics enter the soil are the land application of sewage sludge and animal waste, irrigation with treated or untreated wastewater, use of antibiotics-contaminated surface water for irrigation, infiltration from stormwater runoff (SW), and leakage from sewers and treatment plants (Revitt et al. 2015; Franklin et al. 2022). However, the impact of real-world water matrices on the adsorption behavior of FQCAs by soil is still unknown. Thus, current findings and conclusions regarding the adsorption of FQCAs to soils necessitate scrutiny using various real-world water matrices, such as treated wastewater (TW) effluent (TW), lake water (LW), and river water (RW), as well as SW.

Therefore, the objective of this study was to investigate the adsorption and desorption kinetics of CIP, OFL, and LEV on red clay soil within PW, TW, LW, RW, and SW solutions. It also aimed to illustrate the underlying mechanisms of FQCA adsorption onto red clay soil, considering the impact of varying water quality. This study provides new insights into the fate and transport of these FQCAs within the soil environment as well as risk analysis and offers valuable information for the development of red clay soil-based adsorbents for their removal from water.

Chemicals

CIP (≥ 98.0%), OFL (≥ 98.0%), and LEV (≥ 98.0%) were purchased from Aladdin Company, Shanghai, China, and used to prepare standard and specific solutions. NaN3 (≥ 95.0%) purchased from the same company was used to prevent microbial activity during the adsorption of FQCAs onto red clay soil. All chemical reagents used in the adsorption and desorption experiments were analytical grade or higher. Ultrapure water was used as the solvent for the necessary solutions.

Soil sampling, pretreatment, and characterization

Samples of red clay soil were gathered from a farm in Changzhi City, Shanxi Province, China, situated at coordinates 36°50′26″ N latitude and 112°51′03″ E longitude. The collected soil samples experienced several preparatory stages. Initially, they were rinsed with ultrapure water and then dried in an oven at 105 °C until a consistent weight was attained. Once cooled to room temperature, the red clay soil samples were finely ground and sieved. Soil particles smaller than 0.1 mm in size were used for subsequent experiments as the adsorbent.

The pH and electrical conductivity (EC) of the red clay soil were determined using a FiveEasy PlusTM pH meter (Mettler-Toledo FE28, Columbus, Ohio, USA) and an EC meter (Mettler-Toledo FE38, Columbus, Ohio, USA), respectively, with a soil-to-water ratio of 1:2 (m/v) at 25 °C (Li et al. 2022). The bulk density, the pH at the point of zero charge (pHPZC), and the total organic carbon (TOC) of the red clay soil were measured using the methods provided by Li et al. (2022). The Brunauer–Emmett–Teller (BET) surface area, total pore volume, average pore diameter, and pore size distribution of red clay soil were determined using the N2 physical adsorption method with a Micromeritics ASAP 2460 surface area and porosity analyzer (Micromeritics Corporation, USA). Powder X-ray diffraction (XRD) patterns were recorded in the range of 5–90° (2θ) using a PANalytical X'Pert PRO powder diffractometer (Empyrean, Malvern Panalytical Ltd, UK).

Water sampling and analysis

TW samples were collected at the endpoint of the ultraviolet disinfection chamber following tertiary treatment at a municipal wastewater treatment plant in Jinzhong City, Shanxi Province, China. LW was obtained from a lake located in Yingze Park, Taiyuan City, China. The water in this lake is mainly sourced from SW and groundwater. RWs were gathered from the Fen River in Taiyuan City, which is the second largest tributary of the Yellow River. SW was collected on the campus of Taiyuan University of Technology during a stormwater event in May 2024. Water samples were collected using a standard organic glass sampler at a depth of 30 cm below the water surface. On-site measurements of pH and EC were taken, and then the samples were placed into brown reagent bottles and stored in a refrigerated box at low temperatures before being promptly returned to the laboratory for filtration pretreatment. Following this, the samples were refrigerated for storage, and all subsequent experiments were conducted using these collected water samples. Furthermore, high-performance liquid chromatography (HPLC) analysis revealed the absence of the FQCAs under investigation in all water samples. The water sampling procedure, pretreatment, and quality analysis were conducted following standard methods provided by the American Public Health Association, the American Water Works Association, and the Water Environment Federation (APHA et al. 2023).

Adsorption and desorption experiments

The adsorption kinetics were investigated in PW, TW, LW, RW, and SW under the following conditions: dosage = 2 g/L, C0 = 10 mg/L, temperature = 25 °C, and adsorption time (t) = 0–240 min. The agitation speed was maintained at 200 rpm. After adding the red clay soil and FQCAs to the water samples, the pH values remained significantly unchanged. Thus, the pH in the adsorption experiments was consistent with that of the respective water samples.

Upon reaching adsorption equilibrium, the supernatant was removed. The red clay soil samples, loaded with FQCAs, were subsequently washed twice with ultrapure water and then air-dried for subsequent desorption experiments. The desorption experiments were performed in the same solution as adsorption with C0 = 0 mg/L.

At a predetermined interval, a 5 mL sample was withdrawn from the reactor, with each sample being measured once to avoid variation in liquid-to-soil ratio with repeated sampling. The sample was immediately filtered through a 0.45 μm filter (Membrane Media: Nylon). The concentrations of CIP, OFL, and LEV in the filtrate were accurately quantified using HPLC (Agilent 1260II, USA). An Agilent TC-C18 column (250 × 4.6 mm) was used to separate the compounds. In the following detection conditions, the column temperature was uniformly set at 25 °C. The determination of CIP concentration was performed at a wavelength of 278 nm, using a mixture of 0.025 mol/L aqueous phosphoric acid (pH adjusted to 3.0 ± 0.1 with triethylamine) and acetonitrile (87:13, v/v) in the mobile phase at a flow rate of 1 mL/min. The OFL concentration was measured with a mobile phase consisting of acetonitrile and water (0.5% formic acid) in a ratio of 25:75, at a flow rate of 1 mL/min and a wavelength of 293 nm. The LEV concentration was determined by HPLC with an ultraviolet (UV) detector at 286 nm, using a mobile phase of 60:40 (v/v) acetonitrile anhydrous and formic acid at 0.1% in ultrapure water, with a flow rate of 0.75 mL/min. To ensure experimental precision, each experiment was conducted in triplicate.

Data analysis and models

Adsorbed FQCAs

The quantity of FQCAs adsorbed by red clay soil (qt, mg/g) within a specified adsorption period was determined using Equation (1) (Duan & Fedler 2021). In this equation, C0 and Ct (mg/L) denote the concentration of FQCA in the solution at time 0 and t, V (L) represents the total volume of the FQCA solution, and m (g) signifies the mass of red clay soil in the adsorption system. Upon reaching equilibrium, Ct and qt can be substituted with Ce and qe, respectively:
(1)

Adsorption kinetics

The acquired data were fitted to the pseudo-first-order (PFO) model (Equation (2)) (Tran et al. 2017), the pseudo-second-order (PSO) model (Equation (3)) (Tran et al. 2017), and the Weber–Morris (W–M) intra-particle diffusion model (Equation (4)) (Largitte & Pasquier 2016):
(2)
(3)
(4)
where k1 (L/min) represents the PFO kinetic rate constant, k2 (g/mg/min) denotes the PSO kinetic rate constant, kP ((mg/g)/min1/2) stands for the W–M intra-particle diffusion rate, and C (mg/g) represents the W–M constant (Largitte & Pasquier 2016).
The initial factor (Ri) (Equation (5)) (Wang & Guo 2022) was used to evaluate initial adsorption based on the W–M model. In Equation (5), qi is the initial adsorption amount (mg/g). Initial adsorption can be categorized into four regions: 1 > Ri > 0.9, weak initial adsorption; 0.9 > Ri > 0.5, intermediate initial adsorption; 0.5 > Ri > 0.1, strong initial adsorption; and Ri < 0.1, approaching complete initial adsorption (Wang & Guo 2022):
(5)

Statistical analysis

One-way analysis of variance and t-tests were employed to compare the averages of variables among multiple groups and between two groups. The p-value less than 0.05 was regarded as statistical significance in this study.

Pearson's correlation coefficient (PCC) (Equation (6)) (Yuan et al. 2021) was used to measure the linear correlations between kinetic variables and water quality parameters. All statistical analysis and visualization, including the correlation matrices in this study, were completed using the software R (version 4.3.2) (R Core Team 2023):
(6)
where x and y are numeric variables related to kinetics and water quality, and n denotes the sample size. A PCC value of zero means there is no linear correlation between the two variables. Generally, PCC ranges from −1 to 1. Higher absolute values of PCC indicate stronger correlations, with positive values indicating positive correlations and negative values indicating negative correlations (Yuan et al. 2021).

Characterization of red clay soil

The bulk density, pH, EC, and TOC of red clay soil were measured as 1.33 g/cm3, 8.26, 188.41 μS/cm, and 21.47 g/kg, respectively. The BET surface area, total pore volume, and average pore diameter of red clay soil were determined to be 54.236 m2/g, 0.062 cm3/g, and 7.557 nm, respectively. The XRD results showed that the predominant components in red clay soil included SiO2, AlPO4, KAl2(AlSi3O10)(OH)2 (Muscovite), and Fe2O3.

Water quality

The water quality parameters of TW, LW, RW, and SW samples are listed in Table 1. The t-test results indicate that the pH in SW was significantly lower than in the other water samples. EC showed significant differences among the four water types, with the highest value in TW and the lowest in SW. Chemical oxygen demand (COD) was significantly higher in SW and lower in TW. Total suspended solids (TSS) were significantly greater in RW and lower in TW, while inorganic suspended solids (ISS) were also significantly higher in RW. Organic suspended solids (OSS) were highest in LW and lowest in SW. Total phosphorus (TP) levels were significantly higher in SW and lowest in LW. Finally, total nitrogen (TN) was significantly higher in RW and lower in TW.

Table 1

The water quality parameters of TW, LW, RW, and SW (n = 3)

Water quality parametersTWLWRWSW
pH 8.48 ± 0.05 8.36 ± 0.03 8.40 ± 0.04 7.47 ± 0.05 
EC, μS/cm 1275.03 ± 2.12 1175.01 ± 1.17 864.94 ± 1.20 210.10 ± 0.52 
COD, mg/L 24.56 ± 0.45 27.34 ± 0.74 28.82 ± 1.21 72.35 ± 0.82 
TSSs, mg/L 7.82 ± 1.02 13.67 ± 1.72 18.50 ± 2.31 13.10 ± 1.57 
ISSs, mg/L 3.50 ± 0.81 5.00 ± 0.95 12.00 ± 0.71 10.40 ± 0.53 
OSSs, mg/L 4.32 ± 0.74 8.67 ± 0.77 6.50 ± 0.69 2.70 ± 0.22 
TP, mg/L 0.12 ± 0.02 0.02 ± 0.01 0.11 ± 0.01 0.15 ± 0.03 
TN, mg/L 0.25 ± 0.03 1.44 ± 0.09 3.52 ± 0.11 2.88 ± 0.07 
Water quality parametersTWLWRWSW
pH 8.48 ± 0.05 8.36 ± 0.03 8.40 ± 0.04 7.47 ± 0.05 
EC, μS/cm 1275.03 ± 2.12 1175.01 ± 1.17 864.94 ± 1.20 210.10 ± 0.52 
COD, mg/L 24.56 ± 0.45 27.34 ± 0.74 28.82 ± 1.21 72.35 ± 0.82 
TSSs, mg/L 7.82 ± 1.02 13.67 ± 1.72 18.50 ± 2.31 13.10 ± 1.57 
ISSs, mg/L 3.50 ± 0.81 5.00 ± 0.95 12.00 ± 0.71 10.40 ± 0.53 
OSSs, mg/L 4.32 ± 0.74 8.67 ± 0.77 6.50 ± 0.69 2.70 ± 0.22 
TP, mg/L 0.12 ± 0.02 0.02 ± 0.01 0.11 ± 0.01 0.15 ± 0.03 
TN, mg/L 0.25 ± 0.03 1.44 ± 0.09 3.52 ± 0.11 2.88 ± 0.07 

It is important to note that, due to the complexity of real-world water matrices, the conclusions of the subsequent kinetic experiments should be generalized with reference to this batch of experimental samples.

Measured qe and average adsorption reaction rate in 20 s

The results indicate that the amount of CIP, OFL, and LEV adsorbed by red clay soil, as measured by the equilibrium adsorption capacity (qe), did not significantly differ across kinetic experiments conducted in the same water solution (Figure 1(a)). Specifically, the qe values were substantially higher in PW, with 4.92 mg/g for both CIP and OFL, and 4.89 mg/g for LEV, compared to the other water matrices. This finding suggests that the complex compositions of TW, LW, RW, and SW significantly lowered qe. Furthermore, a higher qe was observed in SW than in TW, LW, and RW for all three FQCAs when adsorbed onto red clay soils.
Figure 1

Measured qe and average adsorption reaction rate in 20 s of three FQCAs in different solutions (n = 3) onto red clay soil: (a) measured qe, and (b) average adsorption reaction rate in 20 s.

Figure 1

Measured qe and average adsorption reaction rate in 20 s of three FQCAs in different solutions (n = 3) onto red clay soil: (a) measured qe, and (b) average adsorption reaction rate in 20 s.

Close modal

The adsorption performance of red clay soil for FQCAs in PW was compared with the adsorbent materials reported in the literature, with the results presented in Table 2. The findings indicate that the adsorption capacity of red clay soil for FQCAs is superior to that of similar adsorbent materials and other synthetic materials reported in the literature. Furthermore, due to the easy availability of red clay soil and the lack of need for further processing, it has the potential to become an environmentally friendly and green adsorbent material for FQCA removal.

Table 2

Adsorption properties of red clay soil and other materials for FQCAs

AdsorbentFQCAAdsorption capacity (mg/g)Equilibrium time (min)Reference
Prosopis juliflora AC OFL 0.38 380 Kaur Singh & Rajor (2022)  
Silty clay LEV 0.09 1,440 Wei et al. (2021)  
BD-CaAl-LDH600 OFL 4.43 240 Zhang Zhou & Luo (2023)  
Met-GO/SA OFL 3.46 200 Yadav et al. (2021)  
GO/SA OFL 1.80 200 Yadav et al. (2021)  
Fe3O4/CD/AC/SA Norfloxacin 2.55 – Zhang et al. (2011)  
CIP 3.13 – 
Tourmaline CIP 2.94 300 Duan et al. (2018)  
Red clay soil CIP 4.92 120 This study 
OFL 4.92 120 
LEV 4.89 120 
AdsorbentFQCAAdsorption capacity (mg/g)Equilibrium time (min)Reference
Prosopis juliflora AC OFL 0.38 380 Kaur Singh & Rajor (2022)  
Silty clay LEV 0.09 1,440 Wei et al. (2021)  
BD-CaAl-LDH600 OFL 4.43 240 Zhang Zhou & Luo (2023)  
Met-GO/SA OFL 3.46 200 Yadav et al. (2021)  
GO/SA OFL 1.80 200 Yadav et al. (2021)  
Fe3O4/CD/AC/SA Norfloxacin 2.55 – Zhang et al. (2011)  
CIP 3.13 – 
Tourmaline CIP 2.94 300 Duan et al. (2018)  
Red clay soil CIP 4.92 120 This study 
OFL 4.92 120 
LEV 4.89 120 

It is widely acknowledged that directly measuring the initial adsorption reaction rate in kinetic experiments is inherently challenging. Consequently, we utilized the average adsorption reaction rate over the first 20-s period (R20, expressed in mg/g/s) as an indicator for the initial reaction rate. This was determined by dividing the adsorbed amounts of CIP, OFL, or LEV at the 20-s mark by the time interval of 20 s. Figure 1(b) illustrates that the R20 for CIP was notably higher in PW (0.18 mg/g/s) compared to other water solutions. No significant difference was observed in the R20 values for CIP in RW and SW. CIP exhibited a lower R20 in TW and LW, with no significant differences observed in these two water solutions. For OFL, the R20 was highest in PW (0.21 mg/g/s) and lowest in TW (0.11 mg/g/s). The R20 of OFL was significantly greater in SW than in RW and LW. LEV showed a similar pattern, with its R20 being significantly higher in PW (0.21 mg/g/s) than in other solutions, and notably higher in SW compared to TW, LW, and RW. No significant differences were found in the R20 of LEV among TW, LW, and RW. These results suggest that the complex matrices of different water types can significantly influence the initial adsorption reaction rate of the three FQCAs.

Correlation analysis revealed a strong relationship between the qe of CIP, OFL, and LEV adsorbed by red clay soil and various water quality parameters, including pH, EC, and OSS, as illustrated in Figure 2. The PCC for the qe of CIP with pH, EC, and OSS were −0.99, −0.98, and −0.86, respectively. For OFL, the PCC values were −0.99, −0.99, and −0.82, while for LEV, they were −1.00, −0.97, and −0.87. In total, the PCC values for qe of all three FQCAs with pH, EC, and OSS were −0.99, −0.98, and −0.85, respectively. A PCC value greater than 0.75 or less than −0.75 indicates a strong positive or negative correlation between two variables (Yuan et al. 2021). These findings suggest that pH, EC, and OSS are potential critical water quality parameters that have a pronounced adverse effect on the qe of the three FQCAs, as evidenced by their strong negative correlation with qe.
Figure 2

Correlation analysis between measured qe and water quality parameters in the water solutions for three FQCAs onto red clay soil (ISS: inorganic suspended solids; OSS: organic suspended solids).

Figure 2

Correlation analysis between measured qe and water quality parameters in the water solutions for three FQCAs onto red clay soil (ISS: inorganic suspended solids; OSS: organic suspended solids).

Close modal
Also, correlation analysis revealed that R20 of the three FQCAs adsorbed by red clay soil displayed a strong negative correlation with pH, EC, and OSS (Figure 3). Specifically, for CIP, the PCC values were −0.83 for R20 with pH and −0.92 for R20 with EC. For OFL, the PCC values were −0.98 for R20 with pH, −0.99 for R20 with EC, and −0.79 for R20 with OSS. LEV showed even stronger negative correlations, with PCC values of −1.00 for R20 with pH, −0.96 for R20 with EC, and −0.88 for R20 with OSS. The overall PCC values for R20 across all three FQCAs with pH, EC, and OSS were −0.93, −0.94, and −0.79, respectively. These findings highlight that pH, EC, and OSS are not only significant water quality parameters negatively affecting the qe but also the initial adsorption reaction rate for the FQCAs onto red clay soils in various water solutions.
Figure 3

Correlation analysis between R20 and water quality parameters in the water solutions for three FQCAs onto red clay soil (R20: the average adsorption reaction rate over the first 20-s period; ISS: inorganic suspended solids; OSS: organic suspended solids).

Figure 3

Correlation analysis between R20 and water quality parameters in the water solutions for three FQCAs onto red clay soil (R20: the average adsorption reaction rate over the first 20-s period; ISS: inorganic suspended solids; OSS: organic suspended solids).

Close modal

FQCAs can exhibit various forms, including anionic, cationic, and zwitterionic forms, depending on the pH conditions in aqueous solutions (Xu et al. 2021; Chang et al. 2022). Specifically, CIP, OFL, and LEV predominantly exist in their cationic forms at pH values below 5.9, 6.1, and 6.0, respectively, and in anionic forms at pH values above 8.9, 8.3, and 8.2, respectively. In other pH ranges, they are predominantly found in their zwitterionic forms (Li et al. 2017a; Chen et al. 2019; Wei et al. 2021; Xu et al. 2021). The pHPZC of red clay soil was determined to be 6.7, suggesting that the particle surfaces of red clay soil were negatively charged when the solution pH was above 6.7. As shown in Table 1, the pH values of TW, LW, RW, and SW all exceeded 7, suggesting that under these conditions, the soil particle surfaces were negatively charged. As the pH increased, the electrostatic repulsion between the anionic FQCAs and the negatively charged soil particle surfaces intensified, which might reduce the adsorption capacity and the initial adsorption reaction rate.

An elevated EC implies a higher concentration of ions in the solutions. The cations in solution were quite readily attracted to the soil particle surfaces due to electrostatic attraction, potentially leading to competitive adsorption with the FQCAs. This competition might hinder the adsorption of FQCAs by red clay soil and decrease the equilibrium adsorption amount and the initial reaction rate. Regarding the adverse impact of OSS on qe and the initial adsorption rate, it was likely due to competitive adsorption between FQCAs and organic compounds for active adsorption sites. Further research is necessary to elucidate the detailed mechanisms of these interactions.

Effect of adsorption time

All three FQCAs experienced rapid adsorption followed by a slower reaction phase when in contact with red clay soil across various water solutions, as illustrated in Figure 4. Although the three FQCAs demonstrated similar overall trends in their adsorption kinetics, noticeable differences were observed in the amount of each FQCA adsorbed by red clay soil at a given time (qt) in different water solutions.
Figure 4

The changes of qt with time of three FQCAs onto red clay soil in various water solutions.

Figure 4

The changes of qt with time of three FQCAs onto red clay soil in various water solutions.

Close modal

For CIP, qt was significantly higher in PW compared to other water solutions, attributed to the favorable conditions for adsorption. Conversely, in TW and LW, qt was significantly lower, which can be attributed to the negative impact of higher pH and EC on adsorption by red clay soil. In RW, qt was significantly lower than in SW, likely due to the combined adverse effects of higher pH, EC, and OSS on adsorption. The complex compositions presented in TW, LW, RW, and SW consistently delayed the time required to reach adsorption equilibrium. Similar observations were noted for OFL and LEV (Figure 4).

The kinetic models fitting results

The data fitting analysis results indicate that compared to the PFO model, the PSO model provided a more accurate description of the kinetic data for the three FQCAs adsorbed by red clay soil due to a higher value of the coefficient of determination (R2) (Table 3). This suggests that the adsorption of the three FQCAs onto red clay soil might involve chemical adsorption mechanisms across all tested water solutions, including PW, TW, LW, RW, and SW (Chen et al. 2024). The presence of diverse constituents in TW, LW, RW, and SW might result in a higher complexity of the chemical adsorption process, which requires further exploration. For each of the three FQCAs, the equilibrium adsorption amount by red clay soil (qe), as determined through data fitting into the PSO model and presented in Table 3, showed consistency with the experimentally measured qe values depicted in Figure 1(a). The PSO model provided a more precise description of the slow adsorption phase than the PFO model. Figure 5 presents a representative set of fitting results, illustrating the comparative modeling outcomes for CIP adsorption onto red clay soil in RW, as derived from both the PFO and PSO models.
Table 3

FQCA's adsorption kinetic model parameters by red clay soil in various water solutions

Kinetic modelsParametersValues for CIP adsorption
PWTWLWRWSW
PFO model qe (mg/g) 4.767 3.174 3.222 3.549 4.184 
I1 (L/min) 4.159 4.438 4.638 7.336 4.283 
R2 0.9893 0.9558 0.9628 0.9884 0.9731 
PSO model qe (mg/g) 4.876 3.249 3.293 3.586 4.270 
k2 (g/mg/min) 2.018 2.552 2.733 6.518 1.991 
R2 0.9994 0.9793 0.9836 0.9935 0.9898 
W–M diffusion model Phase I  
kP1 (mg/g/min1/21.648 0.209 0.229 0.110 0.326 
C1 (mg/g) 2.821 2.442 2.491 3.179 3.188 
R2 0.9732 0.9772 0.9883 0.9617 0.9045 
Breakpoint (min1/21.158 4.148 3.505 4.019 3.432 
Phase II  
kP2 (mg/g/min1/20.023 0.008 0.013 0.005 0.006 
C2 (mg/g) 4.702 3.274 3.246 3.599 4.284 
R2 0.7640 0.7921 0.7723 0.8907 0.7683 
Overall R2 0.9877 0.9934 0.9923 0.9896 0.9603 
Values for OFL adsorption
Kinetic modelsParametersPWTWLWRWSW
PFO model qe (mg/g) 4.867 3.030 3.223 3.423 4.244 
k1 (1/min) 2.570 3.658 4.389 4.862 5.778 
R2 0.9989 0.9474 0.9534 0.9634 0.9778 
PSO model qe (mg/g) 4.902 3.106 3.300 3.492 4.310 
k2 (g/mg/min) 2.183 2.082 2.445 2.846 3.251 
R2 0.9997 0.9728 0.9784 0.9803 0.9880 
W–M diffusion model Phase I  
kP1 (mg/g/min1/20.173 0.233 0.224 0.180 0.208 
C1 (mg/g) 4.331 2.201 2.457 2.754 3.562 
R2 0.9588 0.8729 0.9818 0.9242 0.8733 
Breakpoint (min1/22.785 3.811 3.809 4.0307 3.938 
Phase II  
kP2 (mg/g/min1/20.006 0.020 0.015 0.021 0.007 
C2 (mg/g) 4.851 3.012 3.251 3.397 4.363 
R2 0.8424 0.7497 0.7717 0.8231 0.8499 
Overall R2 0.9806 0.9602 0.9907 0.9781 0.9609 
Values for LEV adsorption
Kinetic modelsParametersPWTWLWRWSW
PFO model qe (mg/g) 4.693 3.154 3.178 3.355 4.127 
k1 (L/min) 6.580 4.723 4.709 4.167 6.263 
R2 0.9916 0.9557 0.9468 0.9633 0.9821 
PSO model qe (mg/g) 4.770 3.223 3.249 3.433 4.181 
k2 (g/mg/min) 4.413 2.843 2.793 2.273 4.042 
R2 0.9973 0.9763 0.9674 0.9859 0.9895 
W–M diffusion model Phase I  
kP1 (mg/g/min1/20.651 0.172 0.121 0.284 0.157 
C1 (mg/g) 3.864 2.498 2.584 2.490 3.580 
R2 0.9250 0.9628 0.8883 0.9719 0.8765 
Breakpoint (min1/21.141 4.448 6.967 3.433 3.574 
Phase II  
kP2 (mg/g/min1/20.032 0.014 0.004 0.006 0.020 
C2 (mg/g) 4.569 3.203 3.397 3.446 4.072 
R2 0.8724 0.8692 0.7507 0.6922 0.8057 
Overall R2 0.9708 0.9912 0.9662 0.9880 0.9592 
Kinetic modelsParametersValues for CIP adsorption
PWTWLWRWSW
PFO model qe (mg/g) 4.767 3.174 3.222 3.549 4.184 
I1 (L/min) 4.159 4.438 4.638 7.336 4.283 
R2 0.9893 0.9558 0.9628 0.9884 0.9731 
PSO model qe (mg/g) 4.876 3.249 3.293 3.586 4.270 
k2 (g/mg/min) 2.018 2.552 2.733 6.518 1.991 
R2 0.9994 0.9793 0.9836 0.9935 0.9898 
W–M diffusion model Phase I  
kP1 (mg/g/min1/21.648 0.209 0.229 0.110 0.326 
C1 (mg/g) 2.821 2.442 2.491 3.179 3.188 
R2 0.9732 0.9772 0.9883 0.9617 0.9045 
Breakpoint (min1/21.158 4.148 3.505 4.019 3.432 
Phase II  
kP2 (mg/g/min1/20.023 0.008 0.013 0.005 0.006 
C2 (mg/g) 4.702 3.274 3.246 3.599 4.284 
R2 0.7640 0.7921 0.7723 0.8907 0.7683 
Overall R2 0.9877 0.9934 0.9923 0.9896 0.9603 
Values for OFL adsorption
Kinetic modelsParametersPWTWLWRWSW
PFO model qe (mg/g) 4.867 3.030 3.223 3.423 4.244 
k1 (1/min) 2.570 3.658 4.389 4.862 5.778 
R2 0.9989 0.9474 0.9534 0.9634 0.9778 
PSO model qe (mg/g) 4.902 3.106 3.300 3.492 4.310 
k2 (g/mg/min) 2.183 2.082 2.445 2.846 3.251 
R2 0.9997 0.9728 0.9784 0.9803 0.9880 
W–M diffusion model Phase I  
kP1 (mg/g/min1/20.173 0.233 0.224 0.180 0.208 
C1 (mg/g) 4.331 2.201 2.457 2.754 3.562 
R2 0.9588 0.8729 0.9818 0.9242 0.8733 
Breakpoint (min1/22.785 3.811 3.809 4.0307 3.938 
Phase II  
kP2 (mg/g/min1/20.006 0.020 0.015 0.021 0.007 
C2 (mg/g) 4.851 3.012 3.251 3.397 4.363 
R2 0.8424 0.7497 0.7717 0.8231 0.8499 
Overall R2 0.9806 0.9602 0.9907 0.9781 0.9609 
Values for LEV adsorption
Kinetic modelsParametersPWTWLWRWSW
PFO model qe (mg/g) 4.693 3.154 3.178 3.355 4.127 
k1 (L/min) 6.580 4.723 4.709 4.167 6.263 
R2 0.9916 0.9557 0.9468 0.9633 0.9821 
PSO model qe (mg/g) 4.770 3.223 3.249 3.433 4.181 
k2 (g/mg/min) 4.413 2.843 2.793 2.273 4.042 
R2 0.9973 0.9763 0.9674 0.9859 0.9895 
W–M diffusion model Phase I  
kP1 (mg/g/min1/20.651 0.172 0.121 0.284 0.157 
C1 (mg/g) 3.864 2.498 2.584 2.490 3.580 
R2 0.9250 0.9628 0.8883 0.9719 0.8765 
Breakpoint (min1/21.141 4.448 6.967 3.433 3.574 
Phase II  
kP2 (mg/g/min1/20.032 0.014 0.004 0.006 0.020 
C2 (mg/g) 4.569 3.203 3.397 3.446 4.072 
R2 0.8724 0.8692 0.7507 0.6922 0.8057 
Overall R2 0.9708 0.9912 0.9662 0.9880 0.9592 
Figure 5

The representative PFO and PSO model fitting results of adsorption kinetics of three FQCAs onto red clay soil in various water solutions: CIP in RW solution.

Figure 5

The representative PFO and PSO model fitting results of adsorption kinetics of three FQCAs onto red clay soil in various water solutions: CIP in RW solution.

Close modal
In order to understand the process of the three FQCAs adsorption onto red clay soil, the same kinetic data were fitted into the two-phase W–M model (Tran et al. 2017). Data fitting results suggest that there might be two adsorption phases in the FQCAs adsorption process: (1) In Phase I, most of the available sites on the outer surfaces of the red clay soil particles were instantaneously occupied by FQCAs, mainly governed by external mass transfer. Thus, the FQCAs adsorption rates were rapid, confirmed by relatively higher slopes (see the values of kP1 in Table 3); (2) In Phase II, the FQCAs adsorption rates significantly decreased to slower adsorption rates, confirmed by relatively lower slopes (see the values of kP2 in Table 3), and the adsorption processes might be mainly limited by intra-particle diffusion. In both phases, the intercepts of the lines were higher than zero (Table 3), indicating that all fitted lines did not pass through the origin. This indicates the existence of intra-particle diffusion during the entire FQCAs adsorption process in PW, TW, LW, RW, and SW onto red clay soil, probably involving complex mechanisms, including chemical and physical adsorption (Garnica-Palafox et al. 2022; Pap et al. 2022). Additionally, the intercept C represents the influence of the boundary layer during the adsorption process, with a larger intercept indicating a greater boundary layer effect (Wang & Guo 2022). The higher C2 values than C1 (Table 3) suggest that the boundary layer effect in Phase II was significantly higher than in Phase I in all three FQCAs adsorption onto red clay soil in all five types of water solutions. Figure 6 presents a set of representative fitting results for the kinetic data of CIP adsorbed by red clay soil in a RW solution, illustrating the application of the two-phase W–M model.
Figure 6

The representative W–M model fitting results of adsorption kinetics of three FQCAs onto red clay soil in various water solutions: CIP in RW solution.

Figure 6

The representative W–M model fitting results of adsorption kinetics of three FQCAs onto red clay soil in various water solutions: CIP in RW solution.

Close modal

Additionally, the initial factor (Ri) values for CIP, OFL, and LEV in PW, TW, LW, RW, and SW were determined as follows: 0.23, 0.28, 0.28, 0.14, and 0.27 for CIP; 0.13, 0.33, 0.29, 0.25, and 0.19 for OFL; and 0.12, 0.27, 0.25, 0.29, and 0.18 for LEV, respectively. All Ri values fall within the range of 0.1–0.5, indicating strong initial adsorption of FQCAs onto red clay soil across various water solutions (Wang & Guo 2022).

Desorption kinetics

The findings from the desorption kinetic experiments show that the overall desorption efficiency of the three FQCAs from red clay soil varied across different water solutions. Specifically, the desorption efficiencies for CIP were between 1.35 and 3.09%, for OFL they ranged from 1.41 to 2.54%, and for LEV, the desorption efficiencies were between 1.40 and 2.32% (Table 4). These relatively low desorption efficiencies indicate a strong affinity of the FQCAs to the red clay soil, suggesting that the binding is not readily reversible. This characteristic is advantageous for the retention and removal of FQCAs in soil environments, potentially limiting their mobility and bioavailability. The implications of these results are significant for developing strategies to remediate and mitigate FQCA pollution in various environmental contexts.

Table 4

Descriptive values for desorption kinetics of three FQCAs on red clay soil in various water solutions

FQCASolutionTotal desorption (%)Desorption at 20 s (%)The ratio of desorption at 20 s to total desorption (%)Desorption qe (mg/g)
CIP PW 1.35 0.35 25.66 4.848 
TW 3.08 2.46 79.92 3.283 
LW 3.09 2.38 77.07 3.330 
RW 1.73 1.13 65.24 3.611 
SW 1.49 0.93 62.08 4.308 
OFL PW 1.41 0.55 38.93 4.847 
TW 2.54 1.99 78.17 3.207 
LW 2.01 1.52 75.65 3.404 
RW 2.37 1.76 74.12 3.599 
SW 1.61 1.17 72.68 4.353 
LEV PW 1.40 0.79 55.97 4.822 
TW 2.32 1.93 83.27 3.324 
LW 2.24 1.86 83.27 3.375 
RW 1.80 1.17 65.25 3.467 
SW 1.51 0.93 62.08 4.287 
FQCASolutionTotal desorption (%)Desorption at 20 s (%)The ratio of desorption at 20 s to total desorption (%)Desorption qe (mg/g)
CIP PW 1.35 0.35 25.66 4.848 
TW 3.08 2.46 79.92 3.283 
LW 3.09 2.38 77.07 3.330 
RW 1.73 1.13 65.24 3.611 
SW 1.49 0.93 62.08 4.308 
OFL PW 1.41 0.55 38.93 4.847 
TW 2.54 1.99 78.17 3.207 
LW 2.01 1.52 75.65 3.404 
RW 2.37 1.76 74.12 3.599 
SW 1.61 1.17 72.68 4.353 
LEV PW 1.40 0.79 55.97 4.822 
TW 2.32 1.93 83.27 3.324 
LW 2.24 1.86 83.27 3.375 
RW 1.80 1.17 65.25 3.467 
SW 1.51 0.93 62.08 4.287 

Figure 7 illustrates the desorption processes of the three FQCAs from red clay soil in various water solutions, each exhibiting a biphasic pattern consisting of a relatively fast phase followed by a slower one. The majority of the rapid desorption phase was completed within the initial 20 s, accounting for 25.66–79.92% of the total desorption for CIP, 38.93–78.17% for OFL, and 55.97–83.27% for LEV. At the desorption equilibrium, the remaining FQCA mass in the red clay soil (qe) was observed to range from 3.283 to 4.848 mg/g for CIP, 3.207–4.847 mg/g for OFL, and 3.324–4.822 mg/g for LEV.
Figure 7

Desorption kinetics of three FQCAs on red clay soil in water solutions: (a) CIP, (b) OFL, and (c) LEV.

Figure 7

Desorption kinetics of three FQCAs on red clay soil in water solutions: (a) CIP, (b) OFL, and (c) LEV.

Close modal

The findings of the desorption study highlight the significant influence of water quality on the desorption dynamics of the three FQCAs from red clay soil across various aqueous solutions. Notably, higher desorption efficiencies were observed for CIP in TW and LW, for OFL in TW, LW, and RW, and for LEV in TW and LW. The ratio of desorption at 20 s to total desorption exhibited a consistent trend, with the lower qe of the three FQCAs observed in TW and LW (Table 4).

Correlation analysis showed that pH, EC, and OSS were the potential key water quality parameters significantly affecting the total desorption, the desorption at 20 s, and the desorption qe of FQCAs on red clay soil in various water solutions. For CIP, the PCC values with pH, EC, and OSS were 0.76, 0.90, and 0.66 for the total desorption, 0.89, 0.87, and 0.79 for the desorption at 20 s, and −0.98, −0.99, and −0.86 for the desorption qe, respectively. Similarly, for OFL, the PCC values with pH, EC, and OSS were 0.94, 0.89, and 0.63 for the total desorption, 0.84, 0.76, and 0.75 for the desorption at 20 s; and −0.99, −0.99, and −0.82 for the desorption qe, respectively. For LEV, the corresponding PCC values were 0.88, 0.97, and 0.73 for the total desorption, 0.82, 0.93, and 0.72 for the desorption at 20 s, and −0.99, −0.97, and −0.87 for the desorption qe, respectively. The specific mechanisms by which these water quality variables influence the desorption of FQCAs from red clay soil require further investigation and understanding.

This study quantitatively assessed the adsorption and desorption kinetics of three FQCAs on red clay soil in various water solutions, including PW, TW effluent, LW, RW, and SW. The findings demonstrate that water quality poses a significant influence on the kinetics of both adsorption and desorption processes. Critical water quality variables, such as pH, EC, and OSS, were found to negatively affect the adsorbed mass of FQCAs at equilibrium following adsorption and the remaining mass after desorption. However, the underlying mechanisms still require further investigation to fully understand their impact on the adsorption and desorption processes. Furthermore, a broader range of real-world water matrices and water quality parameters should be investigated to gain a more comprehensive and in-depth understanding of the adsorption characteristics of FQCAs.

The adsorption and desorption processes were characterized by an initial rapid phase followed by a subsequent slower phase. Higher pH, EC, and OSS led to a significant reduction in the initial adsorption rates and overall adsorption efficiencies, while slightly improving the initial desorption and desorption efficiencies. The PSO model provided a better fit to the adsorption kinetics data compared to the PFO model, implying that the adsorption of FQCAs onto red clay soil in different water solutions likely involved chemical mechanisms. Analysis using the W–M model indicated that the rapid adsorption phase was predominantly influenced by external mass transfer, while the slower phase was mainly constrained by intra-particle diffusion, with both phases being subject to boundary layer effects. After desorption, a considerable portion of the FQCAs was found to persist within the red clay soil. These results highlight the red clay soil's substantial capacity to adsorb FQCAs, indicating its potential as an effective and environmentally friendly adsorbent for mitigating FQCA pollution in the environment. Further research should concentrate on the degradation of FQCAs following adsorption in the soil and their transport dynamics across diverse field conditions.

This work is supported by the Fundamental Research Program of Shanxi Province, China (Grant No. 202103021224082).

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

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