首页 | 本学科首页   官方微博 | 高级检索  
     

蔬菜中农药残留快速检测与定量检测结果符合性分析
引用本文:张秀花,苑婷婷,李 季,邹 维,李 丹.蔬菜中农药残留快速检测与定量检测结果符合性分析[J].食品安全质量检测技术,2020,11(4):1281-1287.
作者姓名:张秀花  苑婷婷  李 季  邹 维  李 丹
作者单位:深圳凯吉星农产品检测认证有限公司
摘    要:目的验证蔬菜快速检测方法的有效性,提升其可信度。方法选取通过农药残留快速检测方法(酶抑制法)筛选出的结果呈阳性的样品,采用仪器分析法进行50项农药残留量的定量分析复核。从蔬菜品类检出符合率、不合格符合率,样品检出率、不合格符合率及各种农药的超标情况等方面进行数据分析。结果各类蔬菜中农药残留有检出样品占总体阳性样本的92%以上,检出符合率较高,表明快速筛查的阳性样品具有一定的风险;由于技术自身缺陷及部分农药缺少评价体系等原因,其不合格符合率为30%~50%左右,其中流通量较大的芸薹属类、叶菜类及茄果类蔬菜的不合格符合率分别为43.3%、33.6%、54.5%。结论快速检测技术作为蔬的农药残留初筛的手段是切实有效的,其应用对蔬菜的质量安全具有重要意义。

关 键 词:农药残留    快速检测    定量检测    检出符合率    不合格符合率
收稿时间:2019/12/3 0:00:00
修稿时间:2020/2/20 0:00:00

Coincidence analysis of rapid detection and quantitative detection results of pesticide residues in vegetables
ZHANG Xiu-Hu,YUAN Ting-Ting,LI Ji,ZHOU Wei,LI Dan.Coincidence analysis of rapid detection and quantitative detection results of pesticide residues in vegetables[J].Food Safety and Quality Detection Technology,2020,11(4):1281-1287.
Authors:ZHANG Xiu-Hu  YUAN Ting-Ting  LI Ji  ZHOU Wei  LI Dan
Affiliation:Shenzhen Care-green Agricultural Products Testing & Certification Co., Ltd
Abstract:Objective To verify the validity of the rapid detection method of vegetables and improve its reliability. Methods Fifty pesticide residues were quantitatively analyzed by instrumental analysis method in the samples with positive results screened by rapid detection method of pesticide residues (enzyme inhibition method). The data analysis was carried out from the aspects of the detection coincidence rate, unqualified coincidence rate, sample detection rate, unqualified coincidence rate and over-standard situation of various pesticides in vegetables. Results Pesticide residues in various vegetables accounted for more than 92% of the total positive samples, and the detection coincidence rate was high, it showed that rapid screening of positive samples had certain risks. Due to technical defects and lack of evaluation system for some pesticides, the unqualified coincidence rate was about 30%50%, The unqualified coincidence rate was about 30%50%, among which the unqualified coincidence rates of Brasslike, leafy vegetables and solanaceous vegetables with large circulation were 43.3%, 33.6%, 54.5%. Conclusion Rapid detection technology is a practical and effective way to screen pesticide residues in vegetables, and its application is of a great significance to the quality and safety of vegetables.
Keywords:pesticide residues  rapid detection  quantitative detection  detection coincidence rate  unqualified coincidence rate
本文献已被 CNKI 等数据库收录!
点击此处可从《食品安全质量检测技术》浏览原始摘要信息
点击此处可从《食品安全质量检测技术》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号