New Models for Estimating the Sorption of Sulfonamide and Tetracycline Antibiotics in Soils

Jinsheng Hu, Xiangyu Tang (), Minghui Qi and Jianhua Cheng
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Jinsheng Hu: Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
Xiangyu Tang: Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
Minghui Qi: State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
Jianhua Cheng: State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China

IJERPH, 2022, vol. 19, issue 24, 1-19

Abstract: Sulfonamides (SAs) and tetracyclines (TCs) are two classes of widely used antibiotics. There is a lack of easy models for estimating the parameters of antibiotic sorption in soils. In this work, a dataset of affinity coefficients ( K f and K d ) of seven SA/TC antibiotics (i.e., sulfachlorpyridazine, sulfamethazine, sulfadiazine, sulfamethoxazole, oxytetracycline, tetracycline, and chlortetracycline) and associated soil properties was generated. Correlation analysis of these data showed that the affinity coefficients of the SAs were predominantly affected by soil organic matter and cation exchange capacity, while those of the TCs were largely affected by soil organic matter and pH. Pedotransfer functions for estimating K f and K d were built by multiple linear regression analysis and were satisfactorily validated. Their performances would be better for soils having higher organic matter content and lower pH. These pedotransfer functions can be used to aid environmental risk assessment, prioritization of antibiotics and identification of vulnerable soils.

Keywords: affinity coefficient; governing factor; pedotransfer function; hydrophobic interactions; electrostatic interactions; hydrogen bonding (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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