Simultaneous Determination of Multiresidues of Pesticides and Veterinary Drugs in Agricultural Soil Using QuEChERS and UHPLC–MS/MS

IF 2.5 4区 工程技术 Q3 CHEMISTRY, ANALYTICAL Separations Pub Date : 2024-06-14 DOI:10.3390/separations11060188
M. Vicari, J. F. Facco, S. Peixoto, Gabriel S. de Carvalho, Luana Floriano, O. Prestes, M. Adaime, Renato Zanella
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Abstract

Soil is one of the main destinations for pesticides and veterinary drugs used in agriculture and animal production. The negative consequences of the accumulation of these compounds in the environment make it important to monitor these compounds in the soil. In this study, we compared different extraction procedures using solvent shaking, ultrasound, or QuEChERS, and their combinations, for the simultaneous determination of 75 pesticide and seven veterinary drug residues in agricultural soil by ultra-high performance liquid chromatography coupled to serial mass spectrometry (UHPLC–MS/MS). The method using QuEChERS combined with shaking showed the best results for soil using the addition of water, followed by extraction with acetonitrile acidified with acetic acid and shaking in a shaker. For partitioning, anhydrous magnesium sulfate and anhydrous sodium acetate were used. The extract was centrifuged, filtered, and diluted (1:4, v/v) in water for determination by UHPLC–MS/MS. Method validation showed adequate accuracy and precision results, with recoveries between 70 and 120% and RSD ≤ 20% for the vast majority of the compounds evaluated at the spike levels of 10, 25, 50, and 100 μg kg−1. The method limits of detection (LOD) and quantification (LOQ) ranged from 3.0 to 7.5 μg kg−1 and from 10 to 25 μg kg−1, respectively. The method was applied to different agricultural soil samples and proved to be efficient for routine analysis.
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利用 QuEChERS 和 UHPLC-MS/MS 同时测定农用土壤中的多残留农药和兽药
土壤是农业和畜牧业生产中使用的杀虫剂和兽药的主要去处之一。这些化合物在环境中的积累会产生负面影响,因此对土壤中的这些化合物进行监测非常重要。在这项研究中,我们比较了使用溶剂振荡、超声波或 QuEChERS 及其组合的不同萃取程序,通过超高效液相色谱-串联质谱法(UHPLC-MS/MS)同时测定农业土壤中的 75 种农药和 7 种兽药残留。采用 QuEChERS 与振荡相结合的方法对土壤的检测效果最佳,即先加水,然后用乙酸酸化的乙腈萃取,并在振荡器中振荡。分配时使用无水硫酸镁和无水醋酸钠。提取物经离心、过滤并用水稀释(1:4,v/v)后,采用超高效液相色谱-质谱/质谱法进行测定。方法验证结果表明,在 10、25、50 和 100 μg kg-1 的加标水平下,绝大多数评估化合物的回收率在 70% 和 120% 之间,RSD ≤ 20%,具有足够的准确度和精密度。方法的检出限(LOD)和定量限(LOQ)分别为 3.0 至 7.5 μg kg-1 和 10 至 25 μg kg-1。该方法被应用于不同的农业土壤样品,并被证明是一种高效的常规分析方法。
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来源期刊
Separations
Separations Chemistry-Analytical Chemistry
CiteScore
3.00
自引率
15.40%
发文量
342
审稿时长
12 weeks
期刊介绍: Separations (formerly Chromatography, ISSN 2227-9075, CODEN: CHROBV) provides an advanced forum for separation and purification science and technology in all areas of chemical, biological and physical science. It publishes reviews, regular research papers and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. There are, in addition, unique features of this journal: Manuscripts regarding research proposals and research ideas will be particularly welcomed. Electronic files and software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material. Manuscripts concerning summaries and surveys on research cooperation and projects (that are funded by national governments) to give information for a broad field of users. The scope of the journal includes but is not limited to: Theory and methodology (theory of separation methods, sample preparation, instrumental and column developments, new separation methodologies, etc.) Equipment and techniques, novel hyphenated analytical solutions (significantly extended by their combination with spectroscopic methods and in particular, mass spectrometry) Novel analysis approaches and applications to solve analytical challenges which utilize chromatographic separations as a key step in the overall solution Computational modelling of separations for the purpose of fundamental understanding and/or chromatographic optimization
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