AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Home Food Science Article
PDF (4.1 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Review | Publishing Language: Chinese | Open Access

Research Progress on Assessment Models for Dietary Exposure to Pesticide Residues

Xi WANG1,2 Ziqi LIU1,3Shanshan KANG1,2Li CHEN2Youpu CHENG3Wei LI1Lilin ZHAO1Zenglong CHEN1 ( )
State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
School of Life Sciences, Hebei University, Baoding 071002, China
College of Horticulture and Landscape, Tianjin Agricultural University, Tianjin 300384, China
Show Author Information

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.

CLC number: S481.8 Document code: A Article ID: 1002-6630(2023)03-0269-09

References

【1】
【1】
 
 
Food Science
Pages 269-277

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
WANG X, LIU Z, KANG S, et al. Research Progress on Assessment Models for Dietary Exposure to Pesticide Residues. Food Science, 2023, 44(3): 269-277. https://doi.org/10.7506/spkx1002-6630-20220210-055

367

Views

2

Downloads

0

Crossref

3

Scopus

15

CSCD

Received: 10 February 2022
Published: 15 February 2023
© Beijing Academy of Food Sciences 2023.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).