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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...

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Detalles Bibliográficos
Autores principales: Edwards, Kiah, Manley, Marena, Hoffman, Louwrens C., Williams, Paul J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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.
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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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