菊花中216种农药残留检测分析方法的建立与样品筛查
投稿时间:2023-09-07  修订日期:2023-10-07   点此下载全文
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作者中文名作者英文名单位中文名单位英文名E-Mail
李海亮 LI Hailiang 中国食品药品检定研究院 National Institutes for Food and Drug Control lihailiang.2015@163.com 
刘芫汐 LIU Yuanxi 中国食品药品检定研究院 National Institutes for Food and Drug Control 2418810483@qq.com 
王赵 WANG Zhao 中国食品药品检定研究院 National Institutes for Food and Drug Control wang_zhao_happy@ yeah. net 
昝珂 ZAN Ke 中国食品药品检定研究院 National Institutes for Food and Drug Control 6206310@qq.com 
王莹 WANG Ying 中国食品药品检定研究院 National Institutes for Food and Drug Control wayi_1986@163.com 
金红宇* JIN Hongyu 中国食品药品检定研究院 National Institutes for Food and Drug Control jhyu@nifdc.org.cn 
马双成 MA Shuangcheng 中国食品药品检定研究院 National Institutes for Food and Drug Control masc@ nifdc. org. cn 
基金项目:国家重点研发计划项目(2022YFC3501500)
中文摘要:目的:建立菊花中216种常用农药残留的快速检测方法。方法:样品经乙腈高速匀浆提取后浓缩,采用液相色谱-串联质谱(LC-MS/MS)和气相色谱-串联质谱(GC-MS/MS)检测技术,以多反应监测(MRM)模式进行数据采集,采用空白基质匹配法以校准曲线法进行定量检测。结果:菊花中216种农药的线性关系良好,90%以上农药指标相关系数大于0.995,各待测农药指标回收率在70%~115%,符合农药多残留的痕量分析要求;78批菊花中检出农药种类达68种。结论:菊花中农药残留检出率较高、检出品种较多,但检出的多为中低毒性农药。有针对性地检测了菊花中高风险的农药品种,涵盖了绝大多数常用农药,检测方法快速、准确,适用于菊花中多农药残留的风险监测和日常快速筛查,可为基质类似的中药材农药多残留检测方法提供借鉴参考。
中文关键词:菊花  农药残留  气相色谱-串联质谱  液相色谱-串联质谱
 
Determination and analysis of 216 pesticide residues in Chrysanthemum morifolium
Abstract:Objective: To establish a rapid method for the determination of 216 pesticide residues in Chrysanthemum morifolium. Methods: The samples were extracted and concentrated with acetonitrile by high speed homogenate. Detection was performed by LC-MS/MS analysis and GC-MS/MS analysis in multiple reaction monitoring (MRM) mode, and the blank matrix matching method was used for quantitative detection by calibration curve method. Results: The linear relationship of 216 pesticides in Chrysanthemum morifolium was good, the correlation coefficient of more than 90% pesticides was greater than 0.995, and the average recovery rate of each pesticide was 70%-115%, which met the detection requirements of pesticide multi-residue trace analysis. 68 pesticides were detected in 78 batches of Chrysanthemum morifolium. Conclusion: The detection rate of pesticide residues in Chrysanthemum morifolium was higher and more varieties were detected, but most of the detected pesticides were moderate and low toxicity. High-risk pesticide varieties were detected in chrysanthemum morifolium, covering most commonly used pesticides. The detection method was rapid and accurate, which was suitable for the risk monitoring and daily rapid screening of pesticide residues in chrysanthemum. It can provide reference for the detection methods of pesticide residues in Chinese medicinal materials with similar substrates.
keywords:Chrysanthemum morifolium  pesticide residue  GC-MS/MS  LC-MS/MS
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