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

被引:0
|
作者
Dou H. [1 ,2 ,3 ]
Chen Y. [1 ,2 ,3 ]
Wu C. [2 ,3 ]
Guo W. [1 ]
Zhang F. [1 ]
机构
[1] Chinese Academy of Inspection and Quarantine, Beijing
[2] School of Computer Science and Engineering, Beijing Technology and Business University, Beijing
[3] Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing
来源
Shipin Kexue/Food Science | 2023年 / 44卷 / 11期
关键词
best-worst method; chemical contaminants; matter-element extension model; meat products; risk assessment;
D O I
10.7506/spkx1002-6630-20220512-151
中图分类号
学科分类号
摘要
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. © 2023 Chinese Chamber of Commerce. All rights reserved.
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页码:1 / 8
页数:7
相关论文
共 20 条
  • [1] WANG Xueli, ZHANG Yan, GENG Zhi, Et al., Spatial analysis of heavy metals in meat products in China during 2015–2017, Food Control, 104, pp. 174-180, (2019)
  • [2] WANG Yajie, TAO Heng, CHEN Kai, Et al., Safety assessment and distribution characteristics of heavy metal pollutants in livestock and poultry meat from different regions of China, Asian Agricultural Research, 11, 1, pp. 76-82, (2019)
  • [3] KORISH M A, ATTIA Y A., Evaluation of heavy metal content in feed, litter, meat, meat products, liver, and table eggs of chickens, Animals, 10, 4, (2020)
  • [4] MANNING L, SOON J M., Mechanisms for assessing food safety risk, British Food Journal, 115, 2, pp. 460-484, (2013)
  • [5] WU Yongning, LIU Pei, CHEN Junshi, Food safety risk assessment in China: past, present and future, Food Control, 90, pp. 212-221, (2018)
  • [6] LIU Shan, XIE Zhimen, ZHANG Weiwei, Et al., Risk assessment in Chinese food safety, Food Control, 30, 1, pp. 162-167, (2013)
  • [7] LYU H M, ZHOU Wanhuan, SHEN Suilong, Et al., Inundation risk assessment of metro system using AHP and TFN-AHP in Shenzhen, Sustainable Cities and Society, 56, (2020)
  • [8] LIU Yingxia, WU Lubin, DONG Hangjang, Et al., Analysis of heavy metal pollution in urban surface soil based on the optimized NL Nemerow model, International Journal of Economics, Business and Management Research, 3, 6, pp. 126-141, (2019)
  • [9] REZAEI J., Best-worst multi-criteria decision-making method, Omega, 53, pp. 49-57, (2015)
  • [10] REZAEI J., Best-worst multi-criteria decision-making method: some properties and a linear model, Omega, 64, pp. 126-130, (2016)