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在认可条件下通过液相色谱 - 串联质谱法对水果和蔬菜中的植物激素及酸性除草剂进行多类别测定

Multifamily Determination of Phytohormones and Acidic Herbicides in Fruits and Vegetables by Liquid Chromatography-Tandem Mass Spectrometry under Accredited Conditions.

作者信息

Grande Martínez Ángel, Arrebola Liébanas Francisco Javier, Santiago Valverde Rosario, Hernández Torres María Elena, Ramírez Casinello Juan, Garrido Frenich Antonia

机构信息

Department of Chemistry and Physics (Analytical Chemistry Area), Agrifood Campus of International Excellence ceiA3, University of Almería, E-04120 Almería, Spain.

Bio-Clinical Analytical Laboratory (LAB), PITA (Almería Science and Technology Park, Albert Einstein 7, E-04131 Almería, Spain.

出版信息

Foods. 2020 Jul 9;9(7):906. doi: 10.3390/foods9070906.

DOI:10.3390/foods9070906
PMID:32660147
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7404484/
Abstract

A 7-min multifamily residue method for the simultaneous quantification and confirmation of 8 phytohormones and 27 acidic herbicides in fruit and vegetables using ultra high-performance liquid chromatography (UHPLC) coupled to tandem mass spectrometry (MS/MS) was developed, validated according to SANTE 12682/2019, and accredited according to UNE-EN-ISO/IEC 17025:2017. Due to the special characteristics of these kinds of compounds, a previous step of alkaline hydrolysis was carried out for breaking conjugates that were potentially formed due to the interactions of the analytes with other components present in the matrix. Sample treatment was based on QuEChERS extraction and optimum detection conditions were individually optimized for each analyte. Cucumber (for high water content commodities) and orange (for high acid and high water content samples) were selected as representative matrices. Matrix-matched calibration was used, and all the validation criteria established in the SANTE guidelines were satisfied. Uncertainty estimation for each target compound was included in the validation process. The proposed method was applied to the analysis of more than 450 samples of cucumber, orange, tomato, watermelon, and zucchini during one year. Several compounds, such as 2,4-dichlorophenoxyacetic acid (2,4-D), 4-(3-indolyl)butyric acid (IBA), dichlorprop (2,4-DP), 2-methyl-4-chlorophenoxy acetic acid (MCPA), and triclopyr were found, but always at concentrations lower than the maximum residue level (MRL) regulated by the EU.

摘要

建立了一种7分钟的多类别残留方法,用于使用超高效液相色谱(UHPLC)与串联质谱(MS/MS)联用同时定量和确证水果和蔬菜中的8种植物激素和27种酸性除草剂。该方法根据SANTE 12682/2019进行了验证,并根据UNE-EN-ISO/IEC 17025:2017获得认可。由于这类化合物的特殊性质,进行了碱水解的前处理步骤,以分解由于分析物与基质中其他成分相互作用而可能形成的共轭物。样品处理基于QuEChERS萃取,并且针对每种分析物分别优化了最佳检测条件。选择黄瓜(用于高含水量商品)和橙子(用于高酸和高含水量样品)作为代表性基质。采用基质匹配校准,满足了SANTE指南中确立的所有验证标准。在验证过程中纳入了每种目标化合物的不确定度估计。所提出的方法在一年内应用于分析超过450个黄瓜、橙子、番茄、西瓜和西葫芦样品。发现了几种化合物,如2,4-二氯苯氧乙酸(2,4-D)、4-(3-吲哚基)丁酸(IBA)、二氯丙酸(2,4-DP)、2-甲基-4-氯苯氧乙酸(MCPA)和三氯吡,但浓度始终低于欧盟规定的最大残留限量(MRL)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf1/7404484/1629c3e60f5a/foods-09-00906-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf1/7404484/99186f187d6c/foods-09-00906-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf1/7404484/01f1979681f6/foods-09-00906-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf1/7404484/600e1748454e/foods-09-00906-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf1/7404484/1629c3e60f5a/foods-09-00906-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf1/7404484/99186f187d6c/foods-09-00906-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf1/7404484/01f1979681f6/foods-09-00906-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf1/7404484/600e1748454e/foods-09-00906-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf1/7404484/1629c3e60f5a/foods-09-00906-g004.jpg

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