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QuEChERS-超高效液相色谱-串联三重四级杆质谱法同时测定玉米秸秆饲料中20种真菌毒素

柳婷婷 张巍巍 史晓梅 翟晨 胡利明 钱承敬 张晓琳

饲料研究2023,Vol.46Issue(22):119-126,8.
饲料研究2023,Vol.46Issue(22):119-126,8.DOI:10.13557/j.cnki.issn1002-2813.2023.22.022

QuEChERS-超高效液相色谱-串联三重四级杆质谱法同时测定玉米秸秆饲料中20种真菌毒素

Simultaneous determination of 20 kinds of mycotoxins in maize straw feed by QuEChERS-ultra performance liquid chromatography-triple quadrupole mass spectrometry

柳婷婷 1张巍巍 2史晓梅 2翟晨 2胡利明 1钱承敬 2张晓琳2

作者信息

  • 1. 北京工业大学环境与生命学部,北京 100124
  • 2. 中粮营养健康研究院有限公司营养健康与食品安全北京市重点实验室 老年营养食品研究北京市工程实验室,北京 102209
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摘要

Abstract

The experiment was to establish an analytical method for the simultaneous determination of 20 kinds of mycotoxins in maize straw feed by QuEChERS-UPLC-MS/MS.The samples were extracted with acetonitrile-acetic acid(95∶5),and the supernatant was purified by anhydrous MgSO4,PSA and C18.Then an appropriate amount of supernatant was blown to dry with nitrogen.The samples were reconstituted with methanol-water-acetic acid(30∶70∶0.1),passed through a PTFE filter membrane,and separated on a C18 chromatographic column.Using the multiple reaction monitoring(MRM)scan mode to monitor the target compounds and the results were quantified by the external standard method.The results showed that the linear ranges of the 20 mycotoxins were good,and the correlation coefficients(R2)were greater than 0.99.The limits of detection were 0.15~3.10 μg/kg,with limits of quantification were 0.49~10.33 μg/kg.The recoveries at the three levels were within the range of 70.4%~118.3%,with relative standard deviations of 1%~10%(n=6).The study indicates that the method was easy to operate,reproducible and highly accurated and sensitive,which can be used for routine screening of mycotoxins in corn stalk feed.

关键词

QuEChERS/超高效液相色谱-串联三重四级杆质谱法/玉米秸秆饲料/真菌毒素

Key words

QuEChERS/UPLC-MS/MS/maize straw feed/mycotoxins

分类

农业科技

引用本文复制引用

柳婷婷,张巍巍,史晓梅,翟晨,胡利明,钱承敬,张晓琳..QuEChERS-超高效液相色谱-串联三重四级杆质谱法同时测定玉米秸秆饲料中20种真菌毒素[J].饲料研究,2023,46(22):119-126,8.

基金项目

国家重点研发计划"粮油原料化学污染物数据库及风险预测模型的建立与应用示范(项目编号:2019YFC1605301)" (项目编号:2019YFC1605301)

饲料研究

OA北大核心CSTPCD

1002-2813

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