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关于基于QuEChERS方法测定粘壤土中218种农药残留的优化与验证的支持数据集。

Supporting dataset on the optimization and validation of a QuEChERS-based method for the determination of 218 pesticide residues in clay loam soil.

作者信息

Acosta-Dacal Andrea, Rial-Berriel Cristian, Díaz-Díaz Ricardo, Bernal Suárez Mª Del Mar, Zumbado Manuel, Henríquez-Hernández Luis Alberto, Luzardo Octavio P

机构信息

Toxicology Unit, Research Institute of Biomedical and Health Sciences (IUIBS), Universidad de Las Palmas de Gran Canaria, Paseo Blas Cabrera s/n, 35016 Las Palmas de Gran Canaria, Spain.

Department of Environmental Analysis, Technological Institute of the Canary Islands, C/ Los Cactus no 68 35118, Polígono Industrial de Arinaga, Agüimes, Las Palmas, Canary Islands, Spain.

出版信息

Data Brief. 2020 Oct 9;33:106393. doi: 10.1016/j.dib.2020.106393. eCollection 2020 Dec.

Abstract

The dataset presented in this article supports "Optimization and validation of a method for the simultaneous environmental monitoring of 218 pesticide residues in clay loam soil" [1]. A method based on QuEChERS (Quick, Easy, Cheap, Effective, Rugged & Safe) for the extraction of pesticide and some metabolites residues was developed. The quantification of the chemicals was performed by a combination of two complementary LC-MS/MS and GC-MS/MS analyses. Detailed optimization data of the QuEChERS extraction method is provided, including (1) salt combination, (2) acidification of the solvent (3) the amount of the selected acid (Formic Acid, FA) and (4) moisturization of the soil samples prior to extraction. In addition, all the validation data are presented, including the matrix effect, which was evaluated for each analyte using the recommended procedure.

摘要

本文中呈现的数据集支持《黏壤土中218种农药残留同步环境监测方法的优化与验证》[1]。开发了一种基于QuEChERS(快速、简便、廉价、有效、耐用且安全)的农药及一些代谢物残留提取方法。通过两种互补的液相色谱-串联质谱(LC-MS/MS)和气相色谱-串联质谱(GC-MS/MS)分析相结合的方式对化学物质进行定量。提供了QuEChERS提取方法的详细优化数据,包括(1)盐组合、(2)溶剂酸化、(3)所选酸(甲酸,FA)的用量以及(4)提取前土壤样品的保湿情况。此外,还展示了所有验证数据,包括使用推荐程序对每种分析物评估的基质效应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad67/7596106/a8096cad7f36/gr1.jpg

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