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Recent Advance of Intelligent Packaging Aided by Artificial Intelligence for Monitoring Food Freshness
Food safety is a pressing concern for human society, as it directly impacts people’s lives, while food freshness serves as one of the most crucial indicators in ensuring food safety. There exist diverse techniques for monitoring food freshness, among which intelligent packaging based on artificial i...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418964/ https://www.ncbi.nlm.nih.gov/pubmed/37569245 http://dx.doi.org/10.3390/foods12152976 |
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author | Li, Xiaoxuan Liu, Danfei Pu, Yumei Zhong, Yunfei |
author_facet | Li, Xiaoxuan Liu, Danfei Pu, Yumei Zhong, Yunfei |
author_sort | Li, Xiaoxuan |
collection | PubMed |
description | Food safety is a pressing concern for human society, as it directly impacts people’s lives, while food freshness serves as one of the most crucial indicators in ensuring food safety. There exist diverse techniques for monitoring food freshness, among which intelligent packaging based on artificial intelligence technology boasts the advantages of low cost, high efficiency, fast speed and wide applicability; however, it is currently underutilized. By analyzing the current research status of intelligent packaging both domestically and internationally, this paper provides a clear classification of intelligent packaging technology. Additionally, it outlines the advantages and disadvantages of using intelligent packaging technology for food freshness detection methods, while summarizing the latest research progress in applying artificial intelligence-based technologies to food freshness detection through intelligent packaging. Finally, the author points out the limitations of the current research, and anticipates future developments in artificial intelligence technology for assisting freshness detection in intelligent packaging. This will provide valuable insights for the future development of intelligent packaging in the field of food freshness detection. |
format | Online Article Text |
id | pubmed-10418964 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104189642023-08-12 Recent Advance of Intelligent Packaging Aided by Artificial Intelligence for Monitoring Food Freshness Li, Xiaoxuan Liu, Danfei Pu, Yumei Zhong, Yunfei Foods Review Food safety is a pressing concern for human society, as it directly impacts people’s lives, while food freshness serves as one of the most crucial indicators in ensuring food safety. There exist diverse techniques for monitoring food freshness, among which intelligent packaging based on artificial intelligence technology boasts the advantages of low cost, high efficiency, fast speed and wide applicability; however, it is currently underutilized. By analyzing the current research status of intelligent packaging both domestically and internationally, this paper provides a clear classification of intelligent packaging technology. Additionally, it outlines the advantages and disadvantages of using intelligent packaging technology for food freshness detection methods, while summarizing the latest research progress in applying artificial intelligence-based technologies to food freshness detection through intelligent packaging. Finally, the author points out the limitations of the current research, and anticipates future developments in artificial intelligence technology for assisting freshness detection in intelligent packaging. This will provide valuable insights for the future development of intelligent packaging in the field of food freshness detection. MDPI 2023-08-07 /pmc/articles/PMC10418964/ /pubmed/37569245 http://dx.doi.org/10.3390/foods12152976 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Li, Xiaoxuan Liu, Danfei Pu, Yumei Zhong, Yunfei Recent Advance of Intelligent Packaging Aided by Artificial Intelligence for Monitoring Food Freshness |
title | Recent Advance of Intelligent Packaging Aided by Artificial Intelligence for Monitoring Food Freshness |
title_full | Recent Advance of Intelligent Packaging Aided by Artificial Intelligence for Monitoring Food Freshness |
title_fullStr | Recent Advance of Intelligent Packaging Aided by Artificial Intelligence for Monitoring Food Freshness |
title_full_unstemmed | Recent Advance of Intelligent Packaging Aided by Artificial Intelligence for Monitoring Food Freshness |
title_short | Recent Advance of Intelligent Packaging Aided by Artificial Intelligence for Monitoring Food Freshness |
title_sort | recent advance of intelligent packaging aided by artificial intelligence for monitoring food freshness |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418964/ https://www.ncbi.nlm.nih.gov/pubmed/37569245 http://dx.doi.org/10.3390/foods12152976 |
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