Bulletin of Chinese Academy of Sciences (Chinese Version)
Keywords
high resolution mass spectrometry (MS); Web-GIS; tri-element integrated technology; pesticide residue; monitor; visualization
Document Type
Article
Abstract
Against the background of big data age, it is important in the research of pesticide residue to find out how to get a huge mass of pesticide residue data and visualize them on the map in real time. After 10 years of in-depth study, a high-throughput high resolution mass spectrometry technique for screening of 1200 pesticide residues by gas chromatography quadrupole time of flight mass spectrometry (GC-QTOF/MS) combined with liquid chromatography quadrupole time of flight mass spectrometry (LC-Q-TOF/MS) was developed based on the accurate database and spectral library of 485 and 525 pesticides by GC-Q-TOF/MS and LC-Q-TOF/MS, respectively. This has improved the detection efficiency of pesticide residue dramatically, and also laid the foundation for obtaining massive pesticide residues detection results accurately and reliably. In this study, a pesticide residue visualization system is established by combining the massive results of pesticide residue with internet and geographic information technology (GIS). The system contains two parts:online cartography system and printed atlas. Online cartography system presents the situations of pesticide residues in China in multi-forms, multi-perspectives, and multi-levels, combining WebGIS technology with applied data statistical analysis methods, and innovatively create a web cartography system integrated using expressions such as thematic maps, statistical charts, and so on. Printed atlas illustrates the multi-dimensional information such as the spatial distribution of pesticide residues, pesticide categories, fruit and vegetable types, residues, toxicities, and excessive situation. At present, the pesticide residue visualization system has been applied to the screening results of pesticide residue of 22, 278 fruit and vegetable samples collected from 638 sampling points in 284 counties within 31 provincial capitals/municipalities across the country from 2012 to 2015. It is turned out that the visualization system based on the tri-element integrated technology could show massive pesticide residue data intuitively in real time. This would be a potential and powerful tool for monitoring the risk of food safety in China. And even more important, this research will provide technical support and basic data for the implementation of the state programs of "Zero Increase of Pesticide Use" and "Boosting the Construction of Healthy China" in 13th Five-Year Plan.
First page
94
Last Page
106
Language
Chinese
Publisher
Bulletin of Chinese Academy of Sciences
References
Brody J G, Vorhees D J, Melly S J, et al. Using GIS and historical records to reconstruct residential exposure to large-scale pesticide application. Journal of Exposure Science and Environmental Epidemiology, 2002, 12(1):64-80..
Wan N. Pesticides exposure modeling based on GIS and remote sensing land use data. Applied Geography, 2015, 56:99-106.
Akbar T A, Lin H, DeGroote J. Development and evaluation of GIS-based ArcPRZM-3 system for spatial modeling of groundwater vulnerability to pesticide contamination. Computers & Geosciences, 2011, 37(7):822-830.
Pistocchi A, Vizcaino P, Hauck M. A GIS model-based screening of potential contamination of soil and water by pyrethroids in Europe. Journal of Environmental Management, 2009, 90(11):3410-3421.
Aguilar J A P, Andreu V, Campo J, et al. Pesticide occurrence in the waters of Júcar River, Spain from different farming landscapes. Science of The Total Environment, 2017, 607:752-760.
马林兵, 张新长, 伍少坤. WebGIS原理与方法教程.北京:科学出版社, 2010.
杜克明, 褚金翔, 孙忠富, 等. WebGIS在农业环境物联网监测系统中的设计与实现.农业工程学报, 2016, 32(4):171-178.
高琪娟, 季小闯, 乐毅, 等.基于WEBGIS的农业病虫害监测系统.计算机技术与发展, 2010, 20(4):224-227.
Bao Yongwei, Yu Mingxuan, Wu Wei. Design and implementation of database for a WebGIS-based rice diseases and pests system. Procedia Environmental Sciences, 2011, 10:535-540.
Karydis I, Gratsanis P, Semertzidis C. WebGIS design & implementation for pest life-cycle & control simulation management:The case of olive-fruit fly. Procedia Technology, 2013, 8(6):526-529.
Yao X, Zhu D, Yun W, et al. A WebGIS-based decision support system for locust prevention and control in China. Computers and Electronics in Agriculture, 2017, 140:148-158.
王元胜, 赵春江, 王纪华, 等.基于WebGIS的重金属污染决策支持系统设计与应用.农业工程学报, 2005, 21(12):137-140.
庞国芳, 陈谊, 范春林, 等.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.中国科学院院刊, 2017, 32(12):1384-1396.
胡昌平, 张晶.从信息传输到可视化:地图制图学视角下的知识地图理论研究.图书馆论坛, 2014, (5):29-35, 70.
尹章才. Web 2.0地图的双向地图信息传递模型.武汉大学学报·信息科学版, 2012, 37(6):733-736.
Recommended Citation
Guofang, PANG; Xiaoping, PANG; Fu, REN; Chunlin, FAN; Yu, QIN; and Hui, CHEN
(2018)
"Tri-element Integrated Technology of High Resolution MS, Internet, and Geographical Information System Draw A Map of Pesticide Residues in China,"
Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 33
:
Iss.
1
, Article 11.
DOI: https://doi.org/10.16418/j.issn.1000-3045.2018.01.011
Available at:
https://bulletinofcas.researchcommons.org/journal/vol33/iss1/11