Chinese Academy of Inspection and Quarantine

Beijing Uni-star Inspection Technology Co., Ltd.

Wuhan University

Beijing Technology and Business University

Xiaobo Zou

Bing Fang

Ruobin Bai

Qiaoying Chang

Guofang Pang

Chunlin Fan

Yi Chen

Xiaoping Pang

Fu Ren

Haiyan Liu

Yuehong Sun

Kun Hou

Disclosed is a pesticide residue detection data platform based on high resolution mass spectrum, the Internet and data science, and a method for automatically generating a detection report. The platform includes allied laboratories, a detection result database of the allied laboratories, four basic sub-databases, a data collection system and an intelligent data analysis system. The intelligent analysis system reads data according to conditions set by a user, performs various statistical analyses according to a statistical analysis model, generates charts, obtains a comprehensive conclusion, and returns an analysis result to the client ends of the allied laboratories.

Pesticide residue detection data platform based on high resolution mass spectrum, internet and data science, and method for automatically generating detection report

A method of online tracing pesticide residues and visualizing an warning on the basis of high resolution mass spectrum, the Internet and geographic information. Among the problems in data analysis on pesticide residue detection for edible agricultural products, problems such as multiple data dimensions, complex data relationships, and requirements for high accuracy of analysis are difficult to solve at present. Thus, a cross-field technology combining three different elements, high resolution mass spectrum, the Internet and geographic information, is adopted and a data collection and intelligent analysis system for pesticide residue detection for edible agricultural products is developed; four major basic sub-databases are established; and pesticide residue detection data is presented in a thematic map, such that safety conditions of pesticide residues of edible agricultural products in five levels of administrative regions including national, provincial, prefectural and municipal level and district and county level can be intuitively and simply displayed.

Method of online tracing pesticide residues and visualizing warning on basis of high resolution mass spectrum, internet and geographic information

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Beijing, China

Xiaobo Zou