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Hyperspectral Imaging (HSI) for meat quality evaluation across the supply chain: Current and future trends
Meat products are particularly plagued by safety problems because of their complicated structure, various production processes and complex supply chains. Rapid and non-invasive analytical methods to evaluate meat quality have become a priority for the industry over the conventional chemical methods....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218168/ https://www.ncbi.nlm.nih.gov/pubmed/35755306 http://dx.doi.org/10.1016/j.crfs.2022.05.016 |
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author | Jia, Wenyang van Ruth, Saskia Scollan, Nigel Koidis, Anastasios |
author_facet | Jia, Wenyang van Ruth, Saskia Scollan, Nigel Koidis, Anastasios |
author_sort | Jia, Wenyang |
collection | PubMed |
description | Meat products are particularly plagued by safety problems because of their complicated structure, various production processes and complex supply chains. Rapid and non-invasive analytical methods to evaluate meat quality have become a priority for the industry over the conventional chemical methods. To achieve rapid analysis of safety and quality parameters of meat products, hyperspectral imaging (HSI) is now widely applied in research studies for detecting the various components of different meat products, but its application in meat production and supply chain integrity as a quality control (QC) solution is still ambiguous. This review presents the fresh look at the current states of HSI research as both the scope and the applicability of the HSI in the meat quality evaluation expanded. The future application scenarios of HSI in the supply chain and the future development of HSI hardware and software are also discussed, by which HSI technology has the potential to enable large scale meat product testing. With a fully adapted for factory setting HSI, the inspection coverage can reliably identify the chemical properties of meat products. With the introduction of Food Industry 4.0, HSI advances can change the meat industry to become from reactive to predictive when facing meat safety issues. |
format | Online Article Text |
id | pubmed-9218168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-92181682022-06-24 Hyperspectral Imaging (HSI) for meat quality evaluation across the supply chain: Current and future trends Jia, Wenyang van Ruth, Saskia Scollan, Nigel Koidis, Anastasios Curr Res Food Sci Review Article Meat products are particularly plagued by safety problems because of their complicated structure, various production processes and complex supply chains. Rapid and non-invasive analytical methods to evaluate meat quality have become a priority for the industry over the conventional chemical methods. To achieve rapid analysis of safety and quality parameters of meat products, hyperspectral imaging (HSI) is now widely applied in research studies for detecting the various components of different meat products, but its application in meat production and supply chain integrity as a quality control (QC) solution is still ambiguous. This review presents the fresh look at the current states of HSI research as both the scope and the applicability of the HSI in the meat quality evaluation expanded. The future application scenarios of HSI in the supply chain and the future development of HSI hardware and software are also discussed, by which HSI technology has the potential to enable large scale meat product testing. With a fully adapted for factory setting HSI, the inspection coverage can reliably identify the chemical properties of meat products. With the introduction of Food Industry 4.0, HSI advances can change the meat industry to become from reactive to predictive when facing meat safety issues. Elsevier 2022-06-03 /pmc/articles/PMC9218168/ /pubmed/35755306 http://dx.doi.org/10.1016/j.crfs.2022.05.016 Text en © 2022 Published by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Article Jia, Wenyang van Ruth, Saskia Scollan, Nigel Koidis, Anastasios Hyperspectral Imaging (HSI) for meat quality evaluation across the supply chain: Current and future trends |
title | Hyperspectral Imaging (HSI) for meat quality evaluation across the supply chain: Current and future trends |
title_full | Hyperspectral Imaging (HSI) for meat quality evaluation across the supply chain: Current and future trends |
title_fullStr | Hyperspectral Imaging (HSI) for meat quality evaluation across the supply chain: Current and future trends |
title_full_unstemmed | Hyperspectral Imaging (HSI) for meat quality evaluation across the supply chain: Current and future trends |
title_short | Hyperspectral Imaging (HSI) for meat quality evaluation across the supply chain: Current and future trends |
title_sort | hyperspectral imaging (hsi) for meat quality evaluation across the supply chain: current and future trends |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218168/ https://www.ncbi.nlm.nih.gov/pubmed/35755306 http://dx.doi.org/10.1016/j.crfs.2022.05.016 |
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