苟 圆,刘逸丰,孙千然,陈 琴,刘 俊.气相色谱-串联质谱法测定蔬菜中6种新型农药残留[J].食品安全质量检测学报,2026,17(8):298-306
气相色谱-串联质谱法测定蔬菜中6种新型农药残留
Determination of 6 kinds of new types of pesticide residues in vegetables by gas chromatography-tandem mass spectrometry
投稿时间:2025-11-12  修订日期:2026-04-27
DOI:
中文关键词:  蔬菜  气相色谱-串联质谱法(GC-MS/MS)  新型农药  多基质
英文关键词:vegetable  gas chromatography-tandem mass spectrometry  new types of pesticide  multimatrix
基金项目:国家重点研发计划项目(2022YFF1100804)
作者单位
苟 圆 1. 成都海关技术中心 
刘逸丰 1. 成都海关技术中心, 2. 成都大学食品与生物工程学院 
孙千然 1. 成都海关技术中心 
陈 琴 1. 成都海关技术中心 
刘 俊 1. 成都海关技术中心 
AuthorInstitution
GOU Yuan 1. Chengdu Customs Technology Center 
LIU Yi-Feng 1. Chengdu Customs Technology Center, 2. College of Food and Biological Engineering, Chengdu University 
SUN Qian-Ran 1. Chengdu Customs Technology Center 
CHEN Qin 1. Chengdu Customs Technology Center 
LIU Jun 1. Chengdu Customs Technology Center 
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中文摘要:
      目的 建立QuEChERS-气相色谱-串联质谱法(gas chromatography-tandem mass spectrometry, GC-MS/MS)检测蔬菜中的吡唑酰苯胺、苯啶菌酮等6种农药的残留。方法 采用改进QuEChERS-GC-MS/MS进行检测。样品经乙腈提取, SH-1-5SILMS毛细管色谱柱(30 m×0.25 mm, 0.25 μm)分离, 多反应监测(multiple reaction monitoring, MRM)扫描模式, 对农药目标离子进行监测。结果 6种农药在0.002~0.200 mg/L范围内线性关系良好, 相关系数(r2)均大于0.998, 检出限为0.33~1.23 μg/kg, 定量限为1.10~4.09 μg/kg, 平均回收率为93.66%~111.29%, 相对标准偏差为2.79%~11.27%。结论 该方法能够对蔬菜中吡唑酰苯胺、苯啶菌酮等6种农药残留进行定性、定量分析, 重复性好、成本低、便捷高效, 为我国对此种农药残留的日常检测提供方法参考, 为推动农药残留检测技术的优化升级及相关行业的安全监管工作提供了有力技术支撑。
英文摘要:
      Objective To establish a method for the detection of residues of 6 kinds of pesticides such as pyrazolimide and benzophenone in vegetables by QuEChERS-gas chromatography-tandem mass spectrometry (GC-MS/MS). Methods Adopted the improved QuEChERS-GC-MS/MS for detection. The samples were extracted with acetonitrile, separated by SH-1-5SILMS capillary chromatographic column (30 m×0.25 mm, 0.25 μm), and the multiple reaction monitoring (MRM) scanning mode was used to monitor the target ions of pesticides. Results The linear relationship of the 6 kinds of pesticides was good within the range of 0.002–0.200 mg/L, and the correlation coefficient (r2) was all greater than 0.998. The limits of detection were 0.33–1.23 μg/kg, the limits of quantitation were 1.10–4.09 μg/kg, and the average recovery rates were 93.66%–111.29%. The relative standard deviation ranged from 2.79% to 11.27%. Conclusion This method enables qualitative and quantitative analysis of 6 kinds of pesticide residues, including pyrazoleanilide and benomyl, in vegetables. Characterized by good repeatability, low cost, and efficient convenience, it provides a methodological reference for routine testing of such residues in China. It offers robust technical support for advancing pesticide residue detection techniques and enhancing safety oversight within relevant industries.
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