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Comparison of a portable Vis-NIR hyperspectral imaging and a snapscan SWIR hyperspectral imaging for evaluation of meat authenticity

The performance of visible-near infrared hyperspectral imaging (Vis-NIR-HSI) (400–1000 nm) and shortwave infrared hyperspectral imaging (SWIR-HSI) (1116–1670 nm) combined with different classification and regression (linear and non-linear) multivariate methods were assessed for meat authentication....

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Autores principales: Dashti, Abolfazl, Müller-Maatsch, Judith, Roetgerink, Emma, Wijtten, Michiel, Weesepoel, Yannick, Parastar, Hadi, Yazdanpanah, Hassan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314175/
https://www.ncbi.nlm.nih.gov/pubmed/37397218
http://dx.doi.org/10.1016/j.fochx.2023.100667
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author Dashti, Abolfazl
Müller-Maatsch, Judith
Roetgerink, Emma
Wijtten, Michiel
Weesepoel, Yannick
Parastar, Hadi
Yazdanpanah, Hassan
author_facet Dashti, Abolfazl
Müller-Maatsch, Judith
Roetgerink, Emma
Wijtten, Michiel
Weesepoel, Yannick
Parastar, Hadi
Yazdanpanah, Hassan
author_sort Dashti, Abolfazl
collection PubMed
description The performance of visible-near infrared hyperspectral imaging (Vis-NIR-HSI) (400–1000 nm) and shortwave infrared hyperspectral imaging (SWIR-HSI) (1116–1670 nm) combined with different classification and regression (linear and non-linear) multivariate methods were assessed for meat authentication. In Vis-NIR-HSI, total accuracies in the prediction set for SVM and ANN-BPN (the best classification models) were 96 and 94 % surpassing the performance of SWIR-HSI with 88 and 89 % accuracy, respectively. In Vis-NIR-HSI, the best-obtained coefficient of determinations for the prediction set (R(2)(p)) were 0.99, 0.88, and 0.99 with root mean square error in prediction (RMSEP) of 9, 24 and 4 (%w/w) for pork in beef, pork in lamb and pork in chicken, respectively. In SWIR-HSI, the best-obtained R(2)(p) were 0.86, 0.77, and 0.89 with RMSEP of 16, 23 and 15 (%w/w) for pork in beef, pork in lamb and pork in chicken, respectively. The results ascertain that Vis-NIR-HSI coupled with multivariate data analysis has better performance rather than SWIR-HIS.
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spelling pubmed-103141752023-07-02 Comparison of a portable Vis-NIR hyperspectral imaging and a snapscan SWIR hyperspectral imaging for evaluation of meat authenticity Dashti, Abolfazl Müller-Maatsch, Judith Roetgerink, Emma Wijtten, Michiel Weesepoel, Yannick Parastar, Hadi Yazdanpanah, Hassan Food Chem X Article(s) from the Special Issue on Food Authentication and Origin by Dr. Yong Fang and Dr. Vural Gökmen The performance of visible-near infrared hyperspectral imaging (Vis-NIR-HSI) (400–1000 nm) and shortwave infrared hyperspectral imaging (SWIR-HSI) (1116–1670 nm) combined with different classification and regression (linear and non-linear) multivariate methods were assessed for meat authentication. In Vis-NIR-HSI, total accuracies in the prediction set for SVM and ANN-BPN (the best classification models) were 96 and 94 % surpassing the performance of SWIR-HSI with 88 and 89 % accuracy, respectively. In Vis-NIR-HSI, the best-obtained coefficient of determinations for the prediction set (R(2)(p)) were 0.99, 0.88, and 0.99 with root mean square error in prediction (RMSEP) of 9, 24 and 4 (%w/w) for pork in beef, pork in lamb and pork in chicken, respectively. In SWIR-HSI, the best-obtained R(2)(p) were 0.86, 0.77, and 0.89 with RMSEP of 16, 23 and 15 (%w/w) for pork in beef, pork in lamb and pork in chicken, respectively. The results ascertain that Vis-NIR-HSI coupled with multivariate data analysis has better performance rather than SWIR-HIS. Elsevier 2023-04-03 /pmc/articles/PMC10314175/ /pubmed/37397218 http://dx.doi.org/10.1016/j.fochx.2023.100667 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article(s) from the Special Issue on Food Authentication and Origin by Dr. Yong Fang and Dr. Vural Gökmen
Dashti, Abolfazl
Müller-Maatsch, Judith
Roetgerink, Emma
Wijtten, Michiel
Weesepoel, Yannick
Parastar, Hadi
Yazdanpanah, Hassan
Comparison of a portable Vis-NIR hyperspectral imaging and a snapscan SWIR hyperspectral imaging for evaluation of meat authenticity
title Comparison of a portable Vis-NIR hyperspectral imaging and a snapscan SWIR hyperspectral imaging for evaluation of meat authenticity
title_full Comparison of a portable Vis-NIR hyperspectral imaging and a snapscan SWIR hyperspectral imaging for evaluation of meat authenticity
title_fullStr Comparison of a portable Vis-NIR hyperspectral imaging and a snapscan SWIR hyperspectral imaging for evaluation of meat authenticity
title_full_unstemmed Comparison of a portable Vis-NIR hyperspectral imaging and a snapscan SWIR hyperspectral imaging for evaluation of meat authenticity
title_short Comparison of a portable Vis-NIR hyperspectral imaging and a snapscan SWIR hyperspectral imaging for evaluation of meat authenticity
title_sort comparison of a portable vis-nir hyperspectral imaging and a snapscan swir hyperspectral imaging for evaluation of meat authenticity
topic Article(s) from the Special Issue on Food Authentication and Origin by Dr. Yong Fang and Dr. Vural Gökmen
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314175/
https://www.ncbi.nlm.nih.gov/pubmed/37397218
http://dx.doi.org/10.1016/j.fochx.2023.100667
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