Research Progress on Assessment Models for Dietary Exposure to Pesticide Residues
The risk assessment of dietary exposure to pesticide residues is a great concern in the fields of chemical risk management, food safety and human health. Effective quantitative risk assessment models are basic tools for assessing dietary exposure to pesticide residues. Based on a review of recent pr...
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| Format: | Article |
| Language: | English |
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China Food Publishing Company
2023-02-01
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| Series: | Shipin Kexue |
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| Online Access: | https://www.spkx.net.cn/fileup/1002-6630/PDF/2023-44-3-031.pdf |
| _version_ | 1811159514870710272 |
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| author | WANG Xi, LIU Ziqi, KANG Shanshan, CHEN Li, CHENG Youpu, LI Wei, ZHAO Lilin, CHEN Zenglong |
| author_facet | WANG Xi, LIU Ziqi, KANG Shanshan, CHEN Li, CHENG Youpu, LI Wei, ZHAO Lilin, CHEN Zenglong |
| author_sort | WANG Xi, LIU Ziqi, KANG Shanshan, CHEN Li, CHENG Youpu, LI Wei, ZHAO Lilin, CHEN Zenglong |
| collection | DOAJ |
| description | The risk assessment of dietary exposure to pesticide residues is a great concern in the fields of chemical risk management, food safety and human health. Effective quantitative risk assessment models are basic tools for assessing dietary exposure to pesticide residues. Based on a review of recent progress in the risk assessment of dietary exposure to pesticide residues, this paper summarizes the risk assessment models for dietary exposure to pesticide residues, including the deterministic assessment models, the probabilistic assessment models and the cumulative assessment models. The advantages and disadvantages of these models are compared in terms of their evolution, the situations to which they apply and the assessment demand, and the key factors such as model uncertainty, assessment software and database application are discussed. Based on the current status of the dietary risk assessment of pesticide residues in China, we highlight the urgency and importance of integrating model parameters, which will provide a scientific basis for improving the construction of risk assessment systems for dietary exposure to pesticide residues. |
| first_indexed | 2024-04-10T05:42:30Z |
| format | Article |
| id | doaj.art-bacaf18ffafd44f0ab2c53a823a5dd16 |
| institution | Directory Open Access Journal |
| issn | 1002-6630 |
| language | English |
| last_indexed | 2024-04-10T05:42:30Z |
| publishDate | 2023-02-01 |
| publisher | China Food Publishing Company |
| record_format | Article |
| series | Shipin Kexue |
| spelling | doaj.art-bacaf18ffafd44f0ab2c53a823a5dd162023-03-06T07:13:22ZengChina Food Publishing CompanyShipin Kexue1002-66302023-02-0144326927710.7506/spkx1002-6630-20220210-055Research Progress on Assessment Models for Dietary Exposure to Pesticide ResiduesWANG Xi, LIU Ziqi, KANG Shanshan, CHEN Li, CHENG Youpu, LI Wei, ZHAO Lilin, CHEN Zenglong0(1. State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; 2. School of Life Sciences, Hebei University, Baoding 071002, China; 3. College of Horticulture and Landscape, Tianjin Agricultural University, Tianjin 300384, China)The risk assessment of dietary exposure to pesticide residues is a great concern in the fields of chemical risk management, food safety and human health. Effective quantitative risk assessment models are basic tools for assessing dietary exposure to pesticide residues. Based on a review of recent progress in the risk assessment of dietary exposure to pesticide residues, this paper summarizes the risk assessment models for dietary exposure to pesticide residues, including the deterministic assessment models, the probabilistic assessment models and the cumulative assessment models. The advantages and disadvantages of these models are compared in terms of their evolution, the situations to which they apply and the assessment demand, and the key factors such as model uncertainty, assessment software and database application are discussed. Based on the current status of the dietary risk assessment of pesticide residues in China, we highlight the urgency and importance of integrating model parameters, which will provide a scientific basis for improving the construction of risk assessment systems for dietary exposure to pesticide residues.https://www.spkx.net.cn/fileup/1002-6630/PDF/2023-44-3-031.pdfpesticide residues; dietary exposure; assessment model; uncertainty; assessment software; database |
| spellingShingle | WANG Xi, LIU Ziqi, KANG Shanshan, CHEN Li, CHENG Youpu, LI Wei, ZHAO Lilin, CHEN Zenglong Research Progress on Assessment Models for Dietary Exposure to Pesticide Residues Shipin Kexue pesticide residues; dietary exposure; assessment model; uncertainty; assessment software; database |
| title | Research Progress on Assessment Models for Dietary Exposure to Pesticide Residues |
| title_full | Research Progress on Assessment Models for Dietary Exposure to Pesticide Residues |
| title_fullStr | Research Progress on Assessment Models for Dietary Exposure to Pesticide Residues |
| title_full_unstemmed | Research Progress on Assessment Models for Dietary Exposure to Pesticide Residues |
| title_short | Research Progress on Assessment Models for Dietary Exposure to Pesticide Residues |
| title_sort | research progress on assessment models for dietary exposure to pesticide residues |
| topic | pesticide residues; dietary exposure; assessment model; uncertainty; assessment software; database |
| url | https://www.spkx.net.cn/fileup/1002-6630/PDF/2023-44-3-031.pdf |
| work_keys_str_mv | AT wangxiliuziqikangshanshanchenlichengyoupuliweizhaolilinchenzenglong researchprogressonassessmentmodelsfordietaryexposuretopesticideresidues |