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贵阳城市周边蔬菜规模化种植农药残留风险分析——以贵阳市某区为例
引用本文:溥丽华,郎小琴,穆志国,赵云,吴常敏,吴敏,张建利.贵阳城市周边蔬菜规模化种植农药残留风险分析——以贵阳市某区为例[J].中国农学通报,2020,36(9):145-149.
作者姓名:溥丽华  郎小琴  穆志国  赵云  吴常敏  吴敏  张建利
作者单位:贵阳市花溪区农业农村局,贵阳 550025;贵州省山地资源研究所,贵阳 550001
基金项目:贵州科学院省级科研专项“国家大科学装置 FAST 工程周边生态环境保护监测创新能力建设”(黔科院科专合字[2017]03);贵州省社发攻 关项目“射电天文望远镜(FAST)石漠化区生态服务功能调控及洞穴养生资源开发利用示范”(黔科合 SY 字[2015]3018);贵州省科技重大专项“草海 主要外来入侵生物监测、预警及防控技术集成与示范”(黔科合重大专项字[2016]3022-03 号)。
摘    要:分析城市周边(以贵阳市某区为例)蔬菜规模化种植农药残留情况及其质量安全状况。本文利用气相色谱对贵阳市某区7个蔬菜基地有机磷、有机氯和菊酯类17种农药残留进行定量检测分析,采用食品安全指数对蔬菜安全进行风险分析。结果表明:该地区均有3种农药(百菌清、甲氰菊酯、毒死蜱)在蔬菜样品中被不同程度检出,平均检出率为6.63%,百菌清的检出率最高(9.84%)、甲氰菊酯(8.2%)的检出率次之、毒死蜱(1.83%)的检出率最低,检出的农药除毒死蜱不做判定之外其余的两种农药残留均未超标。一至四季度蔬菜样品中农药残留检出率三季度最高(15.68%),四季度次之(15%),将被检的109个蔬菜样品按照6个大类进行分析,不同种类蔬菜农残检出率依次为:豆类蔬菜(33.34%)>茄类(21.43%)>瓜果类(17.06%)>叶菜类(3.13%)。所检蔬菜样品的$\bar{IFS}$值<<1,2017年农药对该地区7个蔬菜基地均没有影响,蔬菜农药残留检出率级别均属安全,可为消费者所接受。该研究为当地的农业生产质量安全提供了理论数据,保证了当地居民的健康饮食。

关 键 词:蔬菜基地  农药残留  质量安全  风险分析  
收稿时间:2018/12/8 0:00:00
修稿时间:2020/3/2 0:00:00

Risk Analysis of Pesticide Residues in Large-scale Planting Vegetables: The Case of a District in Suburban Guiyang
Lihua Pu,Xiaoqin Lang,Zhiguo Mu,Yun Zhao,Changmin Wu,Min Wu,Jianli Zhang.Risk Analysis of Pesticide Residues in Large-scale Planting Vegetables: The Case of a District in Suburban Guiyang[J].Chinese Agricultural Science Bulletin,2020,36(9):145-149.
Authors:Lihua Pu  Xiaoqin Lang  Zhiguo Mu  Yun Zhao  Changmin Wu  Min Wu  Jianli Zhang
Institution:Agriculture and Rural Bureau of Huaxi District, Guiyang 550025;Institute of Mountain Resources of Guizhou Province, Guiyang 550001
Abstract:The study is to analyze the status of pesticide residues in large-scale planting vegetables around the city (taking a district of Guiyang for example). Gas chromatography was used to quantitatively analyze 17 kinds of pesticides’ residue of organic phosphorus, organochlorine and pyrethroid in 7 vegetable bases. The international food standard was used to evaluate the safety of the vegetables. The results showed that three kinds of pesticides (chlorothalonil, fenpropathrin and chlorpyrifos) were detected at different degrees in the vegetable samples with an average detection rate of 6.63%. The highest detection rate was chlorothalonil (9.84%), and the detection rate of fenpropathrin was the second (8.2%), and the detection rate of chlorpyrifos was the lowest (1.83%). According to the national food safety standards, without the determination of chlorpyrifos, the other two pesticides’ residue did not exceed the standard. The quarterly detection rate of the year was the highest in the third quarter (15.68%), followed by that of the fourth quarter (15%). The 109 vegetable samples tested were classified according to 6 categories, the detection rate from high to low was bean vegetables (33.34%) > solanaceous vegetables (21.43%) > melon and fruit vegetables (17.06%) > leaf vegetables (3.13%). The vegetable samples’ ($\bar{IFS}$) was <<1. In 2017, pesticides had no impact on the seven vegetable bases in the region, and the detection rate of pesticide residue of vegetables was safe and acceptable to consumers. The research could provide some data for the quality and safety control in local vegetable production, thus ensuring the healthy diet for local residents.
Keywords:Vegetable base  Quality and safety  Risk analysis
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