食品科学 ›› 2023, Vol. 44 ›› Issue (3): 269-277.doi: 10.7506/spkx1002-6630-20220210-055

• 专题论述 • 上一篇    下一篇

农药残留膳食暴露评估模型研究进展

王曦,刘子琪,康珊珊,陈立,程有普,李薇,赵莉蔺,陈增龙   

  1. (1.中国科学院动物研究所,农业虫害鼠害综合治理研究国家重点实验室,北京 100101;2.河北大学生命科学学院,河北?保定 071002;3.天津农学院园艺园林学院,天津 300384)
  • 出版日期:2023-02-15 发布日期:2023-02-28
  • 基金资助:
    国家自然科学基金青年科学基金项目(31801771)

Research Progress on Assessment Models for Dietary Exposure to Pesticide Residues

WANG Xi, LIU Ziqi, KANG Shanshan, CHEN Li, CHENG Youpu, LI Wei, ZHAO Lilin, CHEN Zenglong   

  1. (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)
  • Online:2023-02-15 Published:2023-02-28

摘要: 农药残留膳食暴露风险评估为化学品风险管理、食品安全与人类健康领域的重点关注问题,有效的定量风险评估模型是开展农药残留膳食暴露评价的基础工具。本文结合国内外农药残留膳食暴露风险评估研究进展,旨在归纳农药残留膳食暴露风险评估模型,包括确定性评估模型、概率性评估模型和累积性评估模型;根据模型演变、适用情形与评估需求,比对分析模型间优缺点,探讨模型不确定度、评估软件、数据库应用等关键因子。同时立足我国农药残留膳食风险评估现状,展望模型相关参数整合的紧迫性与重要性,为完善农药残留膳食暴露风险评估体系建设提供科学参考。

关键词: 农药残留;膳食暴露;评估模型;不确定度;评估软件;数据库

Abstract: 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.

Key words: pesticide residues; dietary exposure; assessment model; uncertainty; assessment software; database

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