气相色谱—串联质谱法测定六类茶叶中11种农药的基质效应
Determination of Matrix Effects of 11 Pesticides in Six Types of Tea by Gas Chromatography—tandem Mass Spectrometry
孙羽婕 1陈璐 1王顾希 1樊东生 2李椤颢2
作者信息
- 1. 中国测试技术研究院 生物研究所,四川 成都 610021;茶叶标准与检测技术四川省重点实验室,四川 成都 610021
- 2. 中国测试技术研究院 生物研究所,四川 成都 610021
- 折叠
摘要
采用气相色谱—串联质谱结合QuEChERS前处理方法在三个不同质量浓度(0.010,0.040,0.16 mg/L)下对六类茶叶中11 种农药的基质效应进行考察比较.结果表明:11 种农药在六类茶叶中均呈增强基质效应,以增强强基质效应为主.绿茶基质效应范围区间为101.02%～232.28%;花茶基质效应范围区间为108.14%～269.60%;红茶基质效应范围区间为 124.41%～311.67%;白茶基质效应范围区间为 127.62%～299.09%;黑茶基质效应范围区间为 120.23%～318.22%;乌龙茶基质效应范围区间为 131.84%～336.03%.六类茶叶 11种农药的RSD值均小于 10%,表明不同浓度的茶叶基质溶液对供试的农药具有相似的基质效应.在对茶叶农残含量进行检测时,建议选用对应的基质标对目标物进行定量检测,同时在样品前处理时对试样进行多次净化,以保证定量结果的准确度.
Abstract
The matrix effects of 11 pesticides in six types of tea were investigated and compared using gas chromatography—tandem mass spectrometry combined with QuEChERS pre-treatment method at three different mass concentrations(0.010,0.040,0.16 mg/L).The results showed that all 11 pesticides exhibited enhanced matrix effects in six types of tea,with the strong matrix effect being the main enhancement.The range of matrix effect of green tea is 101.02%～232.28%;the range of matrix effect of floral tea is 108.14%～269.60%;the range of matrix effect of black tea is 124.41%～311.67%;the range of matrix effect of white tea is 127.62%～299.09%;the range of matrix effect of black tea is 120.23%～318.22%;the range of substrate effect of oolong tea is 131.84%～336.03%.The RSD values of 11 pesticides in six types of tea are all less than 10%,indicating that different concentrations of tea matrix solutions have similar matrix effects on the tested pesticides.When detecting the pesticide residue content in tea,it is recommended to use corresponding matrix standards for quantitative detection of the target substance,and to purify the sample multiple times during sample pretreatment to ensure the accuracy of the quantitative results.
关键词
茶叶/农药残留/基质效应/气相色谱—串联质谱Key words
tea/pesticide residues/matrix effect/gas chromatography-tandem mass spectrometry引用本文复制引用
基金项目
四川省重点研发项目(2020YFN0154)
四川省重点研发项目(2020YFN0003)
四川省自然科学基金项目(2022NSFSC1775)
出版年
2024
NETL
NSTL
万方数据