郭子钰,李婉莹,高汉勇,金香子,蒋世翠,李东浩.利用气液微萃取技术联用气相色谱-质谱法检测谷类中27种残留农药[J].食品安全质量检测学报,2019,10(14):4541-4548
利用气液微萃取技术联用气相色谱-质谱法检测谷类中27种残留农药
Determination of 27 pesticides residues in grains by gas-liquid microextraction combined with gas chromatography-mass spectrometry
投稿时间:2019-04-14  修订日期:2019-07-17
DOI:
中文关键词:  农药残留  谷类  气液微萃取  气相色谱-质谱法  快速检测
英文关键词:pesticide residue  grain  gas-liquid microextraction  gas chromatography-mass spectrometry  rapid determination
基金项目:吉林省地方标准制修订计划项目(DBXM030-2018)
作者单位
郭子钰 延边大学化学系, 长白山生物资源与功能分子教育部重点实验室 
李婉莹 延边大学化学系, 长白山生物资源与功能分子教育部重点实验室 
高汉勇 延边大学化学系, 长白山生物资源与功能分子教育部重点实验室 
金香子 延边大学化学系, 长白山生物资源与功能分子教育部重点实验室 
蒋世翠 长白山生物资源与功能分子教育部重点实验室 
李东浩 延边大学化学系, 长白山生物资源与功能分子教育部重点实验室 
AuthorInstitution
GUO Zi-Yu Key Laboratory of Natural Resources of the Changbai Mountain and Functional Molecules, Ministry of Education, Department of Chemistry, Yanbian University 
LI Wan-Ying Key Laboratory of Natural Resources of the Changbai Mountain and Functional Molecules, Ministry of Education, Department of Chemistry, Yanbian University 
GAO Han-Yong Key Laboratory of Natural Resources of the Changbai Mountain and Functional Molecules, Ministry of Education, Department of Chemistry, Yanbian University 
JIN Xiang-Zi Key Laboratory of Natural Resources of the Changbai Mountain and Functional Molecules, Ministry of Education, Department of Chemistry, Yanbian University 
JIANG Shi-Cui Key Laboratory of Natural Resources of the Changbai Mountain and Functional Molecules, Ministry of Education 
LI Dong-Hao Key Laboratory of Natural Resources of the Changbai Mountain and Functional Molecules, Ministry of Education, Department of Chemistry, Yanbian University 
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中文摘要:
      目的 建立气液微萃取技术(gas-liquid microextraction, GLME)联用气相色谱-质谱法(gas chromatography-mass spectrometry, GC-MS)快速检测谷类中的27种农药残留的方法。方法 精确称量0.5 g谷类样品, 用0.5 mL二氯甲烷溶剂超声萃取15 min, 离心4 min后取上清液100 μL, 利用气液微萃取(GLME)对27种农残萃取、净化和浓缩, 结合内标法确保结果的准确性。结果 27种农药在0.001~1.0 mg/kg浓度范围内线性良好, 相关系数在0.9990~0.9999, 检出限为0.002~0.026 mg/kg, 定量限为0.0007~0.086 mg/kg, 平均回收率为71.2%~124.4%(n=3), 相对标准偏差在0.2%~18.8%之间。结论 本方法操作简便方便、准确度高、重现性好, 适用于食品安全现场检测和快速检测, 对于保障我国食品安全构建完整的食品安全检测体系具有重大意义。
英文摘要:
      Objective To establish a method for rapid detection of various pesticides in cereal grains by gas-liquid microextraction (GLME) and gas chromatography-mass spectrometry (GC-MS). Methods The 0.5 g cereal sample was accurately weighed and extracted with 0.5 mL dichloromethane solvent for 15 min, after 4 min centrifugation, 100 μL supernatant was taken and 27 kinds of residues were extracted, purified and concentrated by gas-liquid microextraction (GLME). The accuracy of the results was ensured by the internal standard method. Results The 27 kinds of pesticide had good linear relationships in the range of 0.001?1.0 mg/kg, and the correlation coefficients were 0.9990?0.9999. The limits of detection were 0.002?0.026 mg/kg and the limits of quantitation were 0.0007?0.086 mg/kg. The average recoveries were 71.2%?124.4% (n=3) with relative standard deviations of 0.2%?18.8%. Conclusion This method is simple and rapid, with high accuracy and good repeatability, which is suitable for rapid analysis or field-detection in the food safety industry. It is of great significance to build a complete food safety inspection system to ensure China's food safety.
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