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采用 HS-SPME/GC-MS 和 ICP-AES/MS 法提取和定量棕榈酒中的农药和金属。

Extraction and quantification of pesticides and metals in palm wines by HS-SPME/GC-MS and ICP-AES/MS.

机构信息

Université de Normandie, UNIROUEN, COBRA UMR CNRS 6014, INSA, Avenue de l'Université, 76800 Saint-Etienne-du-Rouvray, France.

Unité de Formation et de Recherche en Sciences et Technologie des Aliments (UFR-STA), Université Nangui Abrogoua, 02 BP 801 Abidjan, 02, Côte d'Ivoire.

出版信息

Food Chem. 2022 Nov 1;393:133352. doi: 10.1016/j.foodchem.2022.133352. Epub 2022 May 31.

DOI:10.1016/j.foodchem.2022.133352
PMID:35696958
Abstract

In this study, HS-SPME/GC-MS and ICP-AES/MS methods are presented to extract and quantify pesticides and metals in palm wines. Various parameters affecting the extraction were investigated: SPME fiber, equilibrium and extraction time, extraction temperature, salinity, and stirring, through an experimental design with 45 trials. The developed method allowed to identify 35 pesticides and quantify 29 of them, from different families of pesticides in 32 palm wine samples. Method performance was evaluated in terms of linearity, repeatability, LOD, LOQ, and accuracy. Among the 32 samples analyzed in 3 replicates, 7 pesticides were detected in 10 samples. Dichlorvos was the only pesticide detected at levels above the European maximal limits. Additionally, 10 of the 19 metals explored by ICP-AES and ICP-MS were found in all samples. Six metals were detected in different samples at levels above the European or OIV maximal limits for drinking water or wine.

摘要

本研究采用 HS-SPME/GC-MS 和 ICP-AES/MS 方法提取和定量分析棕榈酒中的农药和金属。通过 45 次试验的实验设计,研究了影响提取的各种参数:SPME 纤维、平衡和提取时间、提取温度、盐度和搅拌。该方法可用于鉴定 35 种农药,并定量分析 32 个棕榈酒样品中的 29 种农药,这些农药来自不同种类的农药。方法性能通过线性、重复性、LOD、LOQ 和准确性进行评估。在 3 个重复分析的 32 个样品中,有 10 个样品中检测到 7 种农药。敌敌畏是唯一检出水平超过欧洲最大限量的农药。此外,通过 ICP-AES 和 ICP-MS 探索的 19 种金属中的 10 种在所有样品中均有发现。6 种金属在不同样品中的检出水平超过了饮用水或葡萄酒的欧洲或 OIV 最大限量。

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