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高分辨质谱-互联网-数据科学三元融合技术构建农药残留侦测技术平台
引用本文:庞国芳,陈谊,范春林,白若镔,孙悦红,常巧英.高分辨质谱-互联网-数据科学三元融合技术构建农药残留侦测技术平台[J].中国科学院院刊,2017,32(12):1384-1396.
作者姓名:庞国芳  陈谊  范春林  白若镔  孙悦红  常巧英
作者单位:中国检验检疫科学研究院 北京 100176,北京工商大学 北京 100048,中国检验检疫科学研究院 北京 100176,北京合众恒星检测科技有限公司 北京 100176,北京工商大学 北京 100048,中国检验检疫科学研究院 北京 100176
基金项目:“十二五”国家科技支撑计划项目(2012BAD29B01),国家科技基础性工作专项(2015FY111200)
摘    要:研究建立了基于高分辨质谱-互联网-数据科学三元融合技术(简称"三元融合技术")的农药残留侦测技术平台,包括网络联盟实验室、侦测结果数据库和5个基础数据库、数据采集系统和数据智能分析系统。分布在全国各地的网络联盟实验室在其客户端将农药残留的检测原始数量按统一模板通过网络上报至采集系统;采集系统对数据获取、信息补充、衍生物合并、毒性分析,然后参照多国农药最大残留限量(MRL)进行污染等级判定形成结果记录,存入检测结果数据库;数据智能分析系统根据用户的条件设定,读取数据,并根据统计分析模型进行各项统计分析,生成图表,得出综合结论,然后将分析结果返回网络联盟实验室的客户端。从而实现了20—30分钟自动生成图文并茂的农药残留侦测报告,并可实现"一键下载",其工作效能是传统方法不可能实现的。农药残留侦测数据平台实现了食用农产品农药残留实时检测和数据的及时采集、管理和智能分析,并在短时间内自动生成相关农药残留检测报告,从而为农药残留追根溯源、风险安全评估、农药的科学管理与使用,提供实时在线服务。这是实现农药的科学施用,农产品农药残留安全监管,落实民众"舌尖上安全"的一个有效快捷的好工具。

关 键 词:高分辨质谱  农药残留数据  智能分析  侦测报告自动生成
收稿时间:2017/12/12 0:00:00

Tri-element Integrated Technology of High Resolution MS, Internet, and Digital Science Constitutes Technical Platform for Pesticide Residues
Pang Guofang,Chen Yi,Fan Chunlin,Bai Ruobin,Sun Yuehong and Chang Qiaoying.Tri-element Integrated Technology of High Resolution MS, Internet, and Digital Science Constitutes Technical Platform for Pesticide Residues[J].Bulletin of the Chinese Academy of Sciences,2017,32(12):1384-1396.
Authors:Pang Guofang  Chen Yi  Fan Chunlin  Bai Ruobin  Sun Yuehong and Chang Qiaoying
Institution:Chinese Academy of Inspection and Quarantine, Beijing 100176, China,Beijing Technology and Business University, Beijng 100048, China,Chinese Academy of Inspection and Quarantine, Beijing 100176, China,Beijing Uni-Star Inspection Technology Co., Ltd., Beijing 100176, China,Beijing Technology and Business University, Beijng 100048, China and Chinese Academy of Inspection and Quarantine, Beijing 100176, China
Abstract:A technical plaform for pesticide residues detection has been developed on the basis of tri-element integrated technology of highresolution MS-internet-digital science (simply referred as "tri-element integrated technology") inlcuding network leagued laboratories, detection result databases, and 4 sub-bases of fundamental data, data collection system as well as data intelligently analyzing system. The network leagued laboratoies located at various places across the country submit the raw test results of pesticide residues from their client side to the collection system per a unified template; the collection system shall obtain the data, supplement the information, consolidate the derivatives and analyze the toxicity before archiving and storing the results into the test result database based on the judgment of the contamination levels in referrence to maximum residule limit (MRL) of multi-countries. Data intelligent analyzing system shall, based on the settings of conditions by a client, access data, conduct various statistical analysis per the statisitical analytical module, churn out graphs/tables, derive a general conclusion and then return the analytical results to the client side of the network leagued laboratories. Hence the realization of "one-click download" of the detection report with graphs within 30 minutes, with its working efficiency being incomparable to that of the conventional method. The platform for pesticide residue detection data has realized the realtime detection of pesticide residues in edible agricultural products and timely collection, management and intelligent analysis of the data, which may give an automatic generation of the test report of the related pesticide residues within a short time, thus providing a realtime online service for the traceability and safety risk assessment of pesticide residues and the scientific management and application of pesticides. This is an effective and rapid tool for realizing the scientific application of pesticides, supervising the pesticide residue safety, and executing the "the safety of every bite" of our common folks.
Keywords:high-resolution mass spectrometry  pesticide residus data  intelligent analyzing  automatic generation of detection report
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