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Chinese Academy of Sciences Institutional Repositories Grid
Deriving parametric and probabilistic Kd values for fluoroquinolones in soils

文献类型:期刊论文

作者Fabregat-Palau, Joel1,2; Yu, Zhiqiang1; Zeng, Xiangying1; Vidal, Miquel2; Rigol, Anna2,3
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期2023-02-25
卷号861页码:8
关键词Fluoroquinolones Soils Sorption Kd Modelling
ISSN号0048-9697
DOI10.1016/j.scitotenv.2022.160266
英文摘要The evaluation of the sorption affinity of fluoroquinolone antibiotics (FQs) in soils, by means of the derivation of solid -liquid distribution coefficients (Kd), is a valuable information for assessing their environmental mobility. Aiming to de-velop Kd (FQ) prediction tools in soils, in the first stage of this study we constructed a Kd (FQ) sorption dataset using current literature data. Furthermore, additional sorption and desorption data for norfloxacin were obtained in seven different soils of contrasting properties. Sorption isotherms of norfloxacin were linear under the experimental condi-tions tested and desorption percentages increased for scenarios in which low sorption was noted. Sorption tests in the same soils were then extended to ciprofloxacin, enrofloxacin and ofloxacin and pooled in the dataset, revealing comparable Kd (FQ) values among the FQ tested after analyzing the overall dataset consisting in 312 entries of Kd (FQ). A partial least square (PLS) regression model was then developed to predict values of Kd (FQ) based on specific relevant soil properties (i.e., pH, cation exchange capacity and organic carbon and texture information), and, for the first time, FQ properties (fraction of cationic FQ species) affecting sorption. Additionally, probabilistic, Kd (FQ) best estimates in soils were derived through cumulative distribution functions (CDFs) for the overall and for partial datasets created by grouping Kd (FQ) values according to key soil properties affecting FQ sorption (i.e., pH, organic carbon con-tent and texture information). This latter approach permitted to derive more representative Kd (FQ) best estimates for the soils to be assessed, and with a lower related variability than that derived from the overall dataset. Best estimates Kd (FQ) values were > 1000 L kg-1 for most acidic to neutral soils, suggesting strong sorption, although lower sorption and thus higher environmental mobility may be expected in scenarios with soils with alkaline pH, low OC and high sand contents.Synopsis: This study aims to derive parametric and probabilistic Kd values for fluoroquinolone antibiotics in soils on the basis of a few relevant soil physicochemical properties.
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000997398800001
源URL[http://ir.gig.ac.cn/handle/344008/74289]  
专题有机地球化学国家重点实验室
通讯作者Rigol, Anna
作者单位1.Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Wushan 510640, Guangdong, Peoples R China
2.Univ Barcelona UB, Dept Chem Engn & Analyt Chem, Marti & Franques 1-11, Barcelona 08028, Spain
3.Univ Barcelona UB, Inst Recerca Aigua IdRA, Marti & Franques 1-11, Barcelona 08028, Spain
推荐引用方式
GB/T 7714
Fabregat-Palau, Joel,Yu, Zhiqiang,Zeng, Xiangying,et al. Deriving parametric and probabilistic Kd values for fluoroquinolones in soils[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2023,861:8.
APA Fabregat-Palau, Joel,Yu, Zhiqiang,Zeng, Xiangying,Vidal, Miquel,&Rigol, Anna.(2023).Deriving parametric and probabilistic Kd values for fluoroquinolones in soils.SCIENCE OF THE TOTAL ENVIRONMENT,861,8.
MLA Fabregat-Palau, Joel,et al."Deriving parametric and probabilistic Kd values for fluoroquinolones in soils".SCIENCE OF THE TOTAL ENVIRONMENT 861(2023):8.

入库方式: OAI收割

来源:广州地球化学研究所

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