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 (6.8 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Basic Research | Publishing Language: Chinese | Open Access

A Risk Assessment Method of Chemical Contaminants in Meat Products Based on Improved Matter-Element Extension Model

Haifeng DOU1,2,3 , Yi CHEN1,2,3 ( ), Caixia WU2,3, Wei GUO1, Feng ZHANG1
Chinese Academy of Inspection and Quarantine, Beijing 100176, China
School of Computer Science and Engineering, Beijing Technology and Business University, Beijing 100048, China
Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China
Show Author Information

Abstract

It is of great importance to accurately assess the safety risk of chemical contaminants in meat products as one of the causes of food safety problems, which could provide a basis for food safety supervision. Considering the advantages and disadvantages of the existing risk assessment methods, a risk assessment method of chemical contaminants in meat products based on the improved matter-element extension model was proposed, which takes into account the maximum limit of each contaminant and the statistical distribution pattern of sampling results, and selects the detection rate, failure rate, failure degree, mean contents and coefficient of variation of contaminants as risk evaluation indexes. In addition, the weight of each evaluation index was determined by introducing the best-worst method, and the risk level of each contaminant was determined from the asymmetric closeness calculated based on the improved matter-element extension model. Moreover, a case study was conducted with the sampling results of five food additives and four heavy metal elements in meat products in a certain province of China in 2018, and a comparative experiment was conducted with the commonly used Nemerow index evaluation method. The results of both methods showed basically identical rank order of the nine chemical contaminants, and the results of the method developed in this study were distributed at level Ⅰ-Ⅴ, while those of the Nemerow index method were concentrated at level Ⅲ-Ⅴ. Our method can effectively highlight the difference in the risk of different contaminants, and the results from it comply more with reality, which provide a scientific basis for the development of pollutant sampling plans and the optimization of detection resources.

CLC number: TS251.5 Document code: A Article ID: 1002-6630(2023)11-0001-08

References

【1】
【1】
 
 
Food Science
Pages 1-8

{{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:
DOU H, CHEN Y, WU C, et al. A Risk Assessment Method of Chemical Contaminants in Meat Products Based on Improved Matter-Element Extension Model. Food Science, 2023, 44(11): 1-8. https://doi.org/10.7506/spkx1002-6630-20220512-151

483

Views

1

Downloads

0

Crossref

1

Scopus

1

CSCD

Received: 12 May 2022
Published: 15 June 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/).