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多残留方法测定农业土壤和污水污泥中关键和高度重要类别的抗生素及其代谢物。

Multiresidue method for the determination of critically and highly important classes of antibiotics and their metabolites in agricultural soils and sewage sludge.

机构信息

Departamento de Química Analítica, Escuela Politécnica Superior, Universidad de Sevilla, C/ Virgen de África, 7, 41011, Seville, Spain.

出版信息

Anal Bioanal Chem. 2023 Dec;415(29-30):7161-7173. doi: 10.1007/s00216-023-04982-3. Epub 2023 Oct 17.

DOI:10.1007/s00216-023-04982-3
PMID:37847407
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10684426/
Abstract

In this paper, a method is proposed for the determination of antibiotics classified by the World Health Organization as critically important (four macrolides and three quinolones) and highly important (one tetracycline, one diaminopyridine, and three sulfonamides) and eight of their metabolites. The method is based on ultrasound-assisted extraction, dispersive solid-phase extraction clean-up, and analytical determination by liquid chromatography-tandem mass spectrometry. Variables affecting each stage of the analytical method were thoroughly optimised. The method was validated for its application to sewage sludge from different treatment stages (non-treated sludge: primary and secondary sludge; and treated sludge: digested sludge and compost) and to agricultural soil. Limits of quantification were in the range of 0.03-7.50 ng g dry weight (dw) for most of the compounds. Accuracy values were in the range of 70-102%. Precision was below 17%. The application of the method to real samples revealed that macrolides and fluoroquinolones were the antibiotic classes at the highest concentrations in all types of samples. The lowest concentrations of antibiotics were measured in compost (highest concentration: 27 ng g dw, corresponding to norfloxacin) and soil samples (highest concentration: 93 ng g dw, corresponding to a metabolite of clarithromycin). The proposed method is the first developed to date for the determination of multiclass antibiotics and their main metabolites in sludge from different treatment stages. The method can provide a useful tool for obtaining information about antibiotics in sewage sludge prior to its application to agricultural soils and in agricultural soils.

摘要

本研究提出了一种测定世界卫生组织分类的重要抗生素(四类大环内酯类和三类喹诺酮类)和高度重要抗生素(一类四环素类、一类二氨基嘧啶类和三类磺胺类)及其八种代谢物的方法。该方法基于超声辅助提取、分散固相萃取净化和液相色谱-串联质谱分析。对分析方法的各个阶段的影响变量进行了深入优化。该方法应用于不同处理阶段的污水污泥(未经处理的污泥:初沉污泥和二沉污泥;以及处理后的污泥:消化污泥和堆肥)和农业土壤中进行了验证。大多数化合物的定量限在 0.03-7.50ng g 干重(dw)范围内。准确度值在 70-102%之间。精密度低于 17%。该方法应用于实际样品表明,在所有类型的样品中,大环内酯类和氟喹诺酮类是抗生素浓度最高的类别。在堆肥(最高浓度:27ng g dw,对应诺氟沙星)和土壤样品(最高浓度:93ng g dw,对应克拉霉素的一种代谢物)中检测到的抗生素浓度最低。该方法是目前为止首次开发的用于测定不同处理阶段污泥中多类抗生素及其主要代谢物的方法。该方法可以为在将污水污泥应用于农业土壤和农业土壤之前提供有关抗生素的信息提供有用的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3eaf/10684426/41c431ce38af/216_2023_4982_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3eaf/10684426/a2a9958bd5dc/216_2023_4982_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3eaf/10684426/41c431ce38af/216_2023_4982_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3eaf/10684426/a2a9958bd5dc/216_2023_4982_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3eaf/10684426/41c431ce38af/216_2023_4982_Fig3_HTML.jpg

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Antibiotic resistance in soil-plant systems: A review of the source, dissemination, influence factors, and potential exposure risks.土壤-植物系统中的抗生素抗性:来源、传播、影响因素及潜在暴露风险综述。
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