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Non-Destructive Spectroscopic and Imaging Techniques for the Detection of Processed Meat Fraud
In recent years, meat authenticity awareness has increased and, in the fight to combat meat fraud, various analytical methods have been proposed and subsequently evaluated. Although these methods have shown the potential to detect low levels of adulteration with high reliability, they are destructiv...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922372/ https://www.ncbi.nlm.nih.gov/pubmed/33670564 http://dx.doi.org/10.3390/foods10020448 |
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author | Edwards, Kiah Manley, Marena Hoffman, Louwrens C. Williams, Paul J. |
author_facet | Edwards, Kiah Manley, Marena Hoffman, Louwrens C. Williams, Paul J. |
author_sort | Edwards, Kiah |
collection | PubMed |
description | In recent years, meat authenticity awareness has increased and, in the fight to combat meat fraud, various analytical methods have been proposed and subsequently evaluated. Although these methods have shown the potential to detect low levels of adulteration with high reliability, they are destructive, time-consuming, labour-intensive, and expensive. Therefore, rendering them inappropriate for rapid analysis and early detection, particularly under the fast-paced production and processing environment of the meat industry. However, modern analytical methods could improve this process as the food industry moves towards methods that are non-destructive, non-invasive, simple, and on-line. This review investigates the feasibility of different non-destructive techniques used for processed meat authentication which could provide the meat industry with reliable and accurate real-time monitoring, in the near future. |
format | Online Article Text |
id | pubmed-7922372 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79223722021-03-03 Non-Destructive Spectroscopic and Imaging Techniques for the Detection of Processed Meat Fraud Edwards, Kiah Manley, Marena Hoffman, Louwrens C. Williams, Paul J. Foods Review In recent years, meat authenticity awareness has increased and, in the fight to combat meat fraud, various analytical methods have been proposed and subsequently evaluated. Although these methods have shown the potential to detect low levels of adulteration with high reliability, they are destructive, time-consuming, labour-intensive, and expensive. Therefore, rendering them inappropriate for rapid analysis and early detection, particularly under the fast-paced production and processing environment of the meat industry. However, modern analytical methods could improve this process as the food industry moves towards methods that are non-destructive, non-invasive, simple, and on-line. This review investigates the feasibility of different non-destructive techniques used for processed meat authentication which could provide the meat industry with reliable and accurate real-time monitoring, in the near future. MDPI 2021-02-18 /pmc/articles/PMC7922372/ /pubmed/33670564 http://dx.doi.org/10.3390/foods10020448 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Edwards, Kiah Manley, Marena Hoffman, Louwrens C. Williams, Paul J. Non-Destructive Spectroscopic and Imaging Techniques for the Detection of Processed Meat Fraud |
title | Non-Destructive Spectroscopic and Imaging Techniques for the Detection of Processed Meat Fraud |
title_full | Non-Destructive Spectroscopic and Imaging Techniques for the Detection of Processed Meat Fraud |
title_fullStr | Non-Destructive Spectroscopic and Imaging Techniques for the Detection of Processed Meat Fraud |
title_full_unstemmed | Non-Destructive Spectroscopic and Imaging Techniques for the Detection of Processed Meat Fraud |
title_short | Non-Destructive Spectroscopic and Imaging Techniques for the Detection of Processed Meat Fraud |
title_sort | non-destructive spectroscopic and imaging techniques for the detection of processed meat fraud |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922372/ https://www.ncbi.nlm.nih.gov/pubmed/33670564 http://dx.doi.org/10.3390/foods10020448 |
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