液相色谱-四极杆-飞行时间质谱通用快速测定生咖啡豆中农药和霉菌毒素的改良 QuEChERS 方法

IF 4 2区 农林科学 Q2 CHEMISTRY, APPLIED Journal of Food Composition and Analysis Pub Date : 2024-11-02 DOI:10.1016/j.jfca.2024.106928
Dejin Wang , Xingqiang Wu , Jingchun Mao , Zongyi Wang , Yujie Xie , Xudong Wu , Kaixuan Tong , Hongping Man , Chunlin Fan , Hui Chen
{"title":"液相色谱-四极杆-飞行时间质谱通用快速测定生咖啡豆中农药和霉菌毒素的改良 QuEChERS 方法","authors":"Dejin Wang ,&nbsp;Xingqiang Wu ,&nbsp;Jingchun Mao ,&nbsp;Zongyi Wang ,&nbsp;Yujie Xie ,&nbsp;Xudong Wu ,&nbsp;Kaixuan Tong ,&nbsp;Hongping Man ,&nbsp;Chunlin Fan ,&nbsp;Hui Chen","doi":"10.1016/j.jfca.2024.106928","DOIUrl":null,"url":null,"abstract":"<div><div>In this work, a simple, high-throughput, and sensitive analytical method for simultaneously determining 270 pesticides and 13 mycotoxins from different chemical classes in raw coffee beans was developed. The modified quick, easy, cheap, effective, rugged, and safe (QuEChERS) process mainly involved the effects of hydration volume, extraction solvent, extraction salt, and the type and amount of adsorbent used for sample extraction and purification. The samples were detected by liquid chromatography-quadrupole-time-of-flight mass spectrometry (LC-Q-TOF/MS) with a self-built database. The method effectively reduced matrix effects and the 283 compounds showed good linearity in their respective linear ranges (<em>R</em><sup><em>2</em></sup>&gt; 0.99). The screening detection limits (SDL) of the method were in the range of 0.1–20 μg/kg, and the limits of quantification (LOQ) were in the range of 0.2–20 μg/kg. The average recoveries of the 283 compounds at three spiked levels ranged from 72.1 % to 114.9 %, with intra-day and inter-day relative standard deviations less than 9.8 % and 17.1 %, respectively. The recoveries of all analytes ranged from 70.0 % to 120.0 % at three spiked levels (1×LOQ, 2×LOQ, and 10×LOQ), with relative standard deviations less than 20.0 %. The results were satisfactory according to the SANTE/11312/2021 guidelines. The method successfully analyzed 34 batches of actual samples, with concentrations ranging from 0.1 to 61.9 μg/kg for pesticides and 2.3–43.0 μg/kg for mycotoxins. This method provides a powerful tool for monitoring organic contaminants in raw coffee beans.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106928"},"PeriodicalIF":4.0000,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A modified QuEChERS method for the generic and rapid determination of pesticides and mycotoxins in raw coffee beans by liquid chromatography-quadrupole-time-of-flight mass spectrometry\",\"authors\":\"Dejin Wang ,&nbsp;Xingqiang Wu ,&nbsp;Jingchun Mao ,&nbsp;Zongyi Wang ,&nbsp;Yujie Xie ,&nbsp;Xudong Wu ,&nbsp;Kaixuan Tong ,&nbsp;Hongping Man ,&nbsp;Chunlin Fan ,&nbsp;Hui Chen\",\"doi\":\"10.1016/j.jfca.2024.106928\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this work, a simple, high-throughput, and sensitive analytical method for simultaneously determining 270 pesticides and 13 mycotoxins from different chemical classes in raw coffee beans was developed. The modified quick, easy, cheap, effective, rugged, and safe (QuEChERS) process mainly involved the effects of hydration volume, extraction solvent, extraction salt, and the type and amount of adsorbent used for sample extraction and purification. The samples were detected by liquid chromatography-quadrupole-time-of-flight mass spectrometry (LC-Q-TOF/MS) with a self-built database. The method effectively reduced matrix effects and the 283 compounds showed good linearity in their respective linear ranges (<em>R</em><sup><em>2</em></sup>&gt; 0.99). The screening detection limits (SDL) of the method were in the range of 0.1–20 μg/kg, and the limits of quantification (LOQ) were in the range of 0.2–20 μg/kg. The average recoveries of the 283 compounds at three spiked levels ranged from 72.1 % to 114.9 %, with intra-day and inter-day relative standard deviations less than 9.8 % and 17.1 %, respectively. The recoveries of all analytes ranged from 70.0 % to 120.0 % at three spiked levels (1×LOQ, 2×LOQ, and 10×LOQ), with relative standard deviations less than 20.0 %. The results were satisfactory according to the SANTE/11312/2021 guidelines. The method successfully analyzed 34 batches of actual samples, with concentrations ranging from 0.1 to 61.9 μg/kg for pesticides and 2.3–43.0 μg/kg for mycotoxins. This method provides a powerful tool for monitoring organic contaminants in raw coffee beans.</div></div>\",\"PeriodicalId\":15867,\"journal\":{\"name\":\"Journal of Food Composition and Analysis\",\"volume\":\"137 \",\"pages\":\"Article 106928\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Food Composition and Analysis\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0889157524009621\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Composition and Analysis","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0889157524009621","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0

摘要

本研究开发了一种简单、高通量、灵敏的分析方法,可同时测定生咖啡豆中不同化学类别的 270 种农药和 13 种霉菌毒素。改进的快速、简便、廉价、有效、耐用和安全(QuEChERS)工艺主要涉及水化体积、萃取溶剂、萃取盐以及用于样品萃取和净化的吸附剂类型和用量的影响。样品采用液相色谱-四极杆飞行时间质谱(LC-Q-TOF/MS)检测,并自建数据库。该方法有效地降低了基质效应,283种化合物在各自的线性范围内线性关系良好(R2> 0.99)。方法的筛查检出限(SDL)为0.1~20 μg/kg,定量限(LOQ)为0.2~20 μg/kg。283 种化合物在三个添加水平下的平均回收率为 72.1 % 至 114.9 %,日内和日间相对标准偏差分别小于 9.8 % 和 17.1 %。所有分析物在三个加标水平(1×LOQ、2×LOQ 和 10×LOQ)下的回收率为 70.0 % 至 120.0 %,相对标准偏差小于 20.0 %。结果符合 SANTE/11312/2021 标准。该方法成功地分析了 34 批实际样品,其中农药浓度为 0.1 至 61.9 μg/kg,霉菌毒素浓度为 2.3-43.0 μg/kg。该方法为监测生咖啡豆中的有机污染物提供了有力工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A modified QuEChERS method for the generic and rapid determination of pesticides and mycotoxins in raw coffee beans by liquid chromatography-quadrupole-time-of-flight mass spectrometry
In this work, a simple, high-throughput, and sensitive analytical method for simultaneously determining 270 pesticides and 13 mycotoxins from different chemical classes in raw coffee beans was developed. The modified quick, easy, cheap, effective, rugged, and safe (QuEChERS) process mainly involved the effects of hydration volume, extraction solvent, extraction salt, and the type and amount of adsorbent used for sample extraction and purification. The samples were detected by liquid chromatography-quadrupole-time-of-flight mass spectrometry (LC-Q-TOF/MS) with a self-built database. The method effectively reduced matrix effects and the 283 compounds showed good linearity in their respective linear ranges (R2> 0.99). The screening detection limits (SDL) of the method were in the range of 0.1–20 μg/kg, and the limits of quantification (LOQ) were in the range of 0.2–20 μg/kg. The average recoveries of the 283 compounds at three spiked levels ranged from 72.1 % to 114.9 %, with intra-day and inter-day relative standard deviations less than 9.8 % and 17.1 %, respectively. The recoveries of all analytes ranged from 70.0 % to 120.0 % at three spiked levels (1×LOQ, 2×LOQ, and 10×LOQ), with relative standard deviations less than 20.0 %. The results were satisfactory according to the SANTE/11312/2021 guidelines. The method successfully analyzed 34 batches of actual samples, with concentrations ranging from 0.1 to 61.9 μg/kg for pesticides and 2.3–43.0 μg/kg for mycotoxins. This method provides a powerful tool for monitoring organic contaminants in raw coffee beans.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Food Composition and Analysis
Journal of Food Composition and Analysis 工程技术-食品科技
CiteScore
6.20
自引率
11.60%
发文量
601
审稿时长
53 days
期刊介绍: The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects. The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.
期刊最新文献
Millets: Nutrient-rich and climate-resilient crops for sustainable agriculture and diverse culinary applications A modified method for the simultaneous determination of fluindapyr and its metabolites residues in vegetables and fruits by SPE and UHPLCMS/MS Development of dummy template molecularly imprinted polymer adsorbent to extract organophosphorus pesticides from vegetables Editorial Board A ratiometric fluorescence platform based on bifunctional MOFs for sensitive detection of organophosphorus pesticides
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1