Modernization of digital food safety control.


Journal

Advances in food and nutrition research
ISSN: 1043-4526
Titre abrégé: Adv Food Nutr Res
Pays: United States
ID NLM: 9001271

Informations de publication

Date de publication:
2024
Historique:
medline: 6 8 2024
pubmed: 6 8 2024
entrez: 5 8 2024
Statut: ppublish

Résumé

Foodborne illness remains a pressing global issue due to the complexities of modern food supply chains and the vast array of potential contaminants that can arise at every stage of food processing from farm to fork. Traditional food safety control systems are increasingly challenged to identify these intricate hazards. The U.S. Food and Drug Administration's (FDA) New Era of Smarter Food Safety represents a revolutionary shift in food safety methodology by leveraging cutting-edge digital technologies. Digital food safety control systems employ modern solutions to monitor food quality by efficiently detecting in real time a wide range of contaminants across diverse food matrices within a short timeframe. These systems also utilize digital tools for data analysis, providing highly predictive assessments of food safety risks. In addition, digital food safety systems can deliver a secure and reliable food supply chain with comprehensive traceability, safeguarding public health through innovative technological approaches. By utilizing new digital food safety methods, food safety authorities and businesses can establish an efficient regulatory framework that genuinely ensures food safety. These cutting-edge approaches, when applied throughout the food chain, enable the delivery of safe, contaminant-free food products to consumers.

Identifiants

pubmed: 39103219
pii: S1043-4526(24)00047-0
doi: 10.1016/bs.afnr.2024.06.002
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

93-137

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Mofei Shen (M)

College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, P.R. China; Zhejiang University Zhongyuan Institute, Zhengzhou, Henan, P.R. China.

Tahirou Sogore (T)

College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, P.R. China.

Tian Ding (T)

College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, P.R. China; Future Food Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing, Zhejiang, P.R. China.

Jinsong Feng (J)

College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, P.R. China; Future Food Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing, Zhejiang, P.R. China. Electronic address: jinsongf@zju.edu.cn.

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Classifications MeSH