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
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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 |
DOI | 10.1016/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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