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,(12):1384-1396.

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

Tri-element Integrated Technology of High Resolution MS, Internet, and Digital Science Constitutes Technical Platform for Pesticide Residues
作者
庞国芳
中国检验检疫科学研究院 北京 100176
Pang Guofang
Chinese Academy of Inspection and Quarantine, Beijing 100176, China
陈谊
北京工商大学 北京 100048
Chen Yi
Beijing Technology and Business University, Beijng 100048, China
范春林
中国检验检疫科学研究院 北京 100176
Fan Chunlin
Chinese Academy of Inspection and Quarantine, Beijing 100176, China
白若镔
北京合众恒星检测科技有限公司 北京 100176
Bai Ruobin
Beijing Uni-Star Inspection Technology Co., Ltd., Beijing 100176, China
孙悦红
北京工商大学 北京 100048
Sun Yuehong
Beijing Technology and Business University, Beijng 100048, China
常巧英
中国检验检疫科学研究院 北京 100176
Chang Qiaoying
Chinese Academy of Inspection and Quarantine, Beijing 100176, China
中文关键词
         高分辨质谱;农药残留数据;智能分析;侦测报告自动生成
英文关键词
        high-resolution mass spectrometry;pesticide residus data;intelligent analyzing;automatic generation of detection report
中文摘要
        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。
英文摘要
        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.
DOI10.16418/j.issn.1000-3045.2017.12.013
作者简介
庞国芳 中国工程院院士,中国检验检疫科学研究院研究员,中国食品安全国家标准审评委员会副主任,中国国家食品安全风险评估专家委员会副主任,美国分析化学家协会(AOAC)资深专家,国际AOAC 2014年度Harvey W. Wiley奖获得者。30多年来始终工作在检验检疫第一线,致力于食品科学检测技术理论与实践的研究,在农药等化学污染物残留微量分析技术领域进行了开拓性的研究工作,在研究高灵敏度、高选择性、高分辨率的多残留快速检测新技术、新方法方面;在研究新型萃取、分离、富集等样品制备新技术、新方法方面多有创新。在检测技术标准化工程化方面颇有建树,研究建立了139项国家技术标准和3项国际AOAC标准。3次荣获国家科学技术进步奖二等奖,8次荣获国际AOAC科学技术奖。论著10部(2 000万字),论文100多篇(其中40篇SCI论文)。E-mail:ciqpang@163.com
Pang Guofang Academician of Chinese Academy of Engineering,the chief scientist of CAIQ,deputy director of Risk Evaluation Expert Committee of China National Food Safety,deputy director of Review Committee of China National Food Safety Standards,Fellow of Association of Official Analytical Chemists (AOAC),recipient of the 2014 Harvey W.Wiley Award.Over the past 30 years,he has been always working at the forefront of the inspection and quarantine work,devoting himself to the research on the theory and practice of food scientific analysis and conducting the pioneering research work in the field of trace element analytical techniques of pesticide and veterinary drug residues.He has made many innovations in the study of new techniques of rapid detection of multiresidues with high sensitivity,high selectivity and high resolutions as well as in the study of new techniques and new methods such as sample preparation like extraction,separation,enrichment,etc.He has focused his study on the high through-put techniques of the trace elements of over 1000 pesticides and veterinary drug residues and established 139 China National Standards and 3 AOAC Official Method.He won the Second Prize of the State Scientific and Technical Progress for 3 times and the Award of Science and Technique of AOAC for 8 times.He had 10 scientific and technical works (20 million words) and over 100 papers published,of which 40 were SCI indexed papers.E-mail:ciqpang@163.com
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