Non‐destructive texture analysis of farmed Atlantic salmon using visual/near‐infrared reflectance spectroscopy
Abstract Fillets of farmed Atlantic salmon were assessed by visual/near‐infrared (VIS/NIR) reflectance spectroscopy, Kramer shear force measurement and texture profile analysis (TPA). Comparison of the Kramer measurements between pairs of subsamples gave correlation coefficients of 0.85 for pre‐rigo...
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crwiley:10.1002/jsfa.997 2024-09-15T17:56:15+00:00 Non‐destructive texture analysis of farmed Atlantic salmon using visual/near‐infrared reflectance spectroscopy Isaksson, Tomas Swensen, Lars P Taylor, Richard G Fjæra, Svein O Skjervold, Per O 2001 http://dx.doi.org/10.1002/jsfa.997 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjsfa.997 https://onlinelibrary.wiley.com/doi/pdf/10.1002/jsfa.997 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Journal of the Science of Food and Agriculture volume 82, issue 1, page 53-60 ISSN 0022-5142 1097-0010 journal-article 2001 crwiley https://doi.org/10.1002/jsfa.997 2024-07-11T04:36:06Z Abstract Fillets of farmed Atlantic salmon were assessed by visual/near‐infrared (VIS/NIR) reflectance spectroscopy, Kramer shear force measurement and texture profile analysis (TPA). Comparison of the Kramer measurements between pairs of subsamples gave correlation coefficients of 0.85 for pre‐rigor (2 h after slaughter), 0.78 for post‐rigor (6 days after slaughter) and 0.97 for pre‐ and post‐rigor combined. TPA gave non‐significant correlations between subsamples. VIS/NIR fibre optic probe measurements gave cross‐validated correlation coefficients for prediction of Kramer shear force of 0.76 for pre‐rigor, 0.68 for post‐rigor and 0.94 for pre‐ and post‐rigor combined. Classification using linear discriminant analysis of the VIS/NIR measurements gave up to 79% correct classification into three categories: low Kramer shear force (2.13 × 10 −2 –4.41 × 10 −2 J g −1 ), medium Kramer shear force (4.41 × 10 −2 –6.37 × 10 −2 J g −1 ) and high Kramer shear force (6.37 × 10 −2 –7.90 × 10 −2 J g −1 ). Using these class limits, no low‐Kramer‐shear‐force sample was misclassified as a high‐Kramer‐shear‐force sample, and vice versa . It can be concluded that non‐destructive VIS/NIR fibre optic probe measurement gives fair predictions of Kramer shear force. Its most useful application in salmon production plants may be to classify fillets into broad classes according to texture before further processing or sale. © 2001 Society of Chemical Industry Article in Journal/Newspaper Atlantic salmon Wiley Online Library Journal of the Science of Food and Agriculture 82 1 53 60 |
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Wiley Online Library |
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language |
English |
description |
Abstract Fillets of farmed Atlantic salmon were assessed by visual/near‐infrared (VIS/NIR) reflectance spectroscopy, Kramer shear force measurement and texture profile analysis (TPA). Comparison of the Kramer measurements between pairs of subsamples gave correlation coefficients of 0.85 for pre‐rigor (2 h after slaughter), 0.78 for post‐rigor (6 days after slaughter) and 0.97 for pre‐ and post‐rigor combined. TPA gave non‐significant correlations between subsamples. VIS/NIR fibre optic probe measurements gave cross‐validated correlation coefficients for prediction of Kramer shear force of 0.76 for pre‐rigor, 0.68 for post‐rigor and 0.94 for pre‐ and post‐rigor combined. Classification using linear discriminant analysis of the VIS/NIR measurements gave up to 79% correct classification into three categories: low Kramer shear force (2.13 × 10 −2 –4.41 × 10 −2 J g −1 ), medium Kramer shear force (4.41 × 10 −2 –6.37 × 10 −2 J g −1 ) and high Kramer shear force (6.37 × 10 −2 –7.90 × 10 −2 J g −1 ). Using these class limits, no low‐Kramer‐shear‐force sample was misclassified as a high‐Kramer‐shear‐force sample, and vice versa . It can be concluded that non‐destructive VIS/NIR fibre optic probe measurement gives fair predictions of Kramer shear force. Its most useful application in salmon production plants may be to classify fillets into broad classes according to texture before further processing or sale. © 2001 Society of Chemical Industry |
format |
Article in Journal/Newspaper |
author |
Isaksson, Tomas Swensen, Lars P Taylor, Richard G Fjæra, Svein O Skjervold, Per O |
spellingShingle |
Isaksson, Tomas Swensen, Lars P Taylor, Richard G Fjæra, Svein O Skjervold, Per O Non‐destructive texture analysis of farmed Atlantic salmon using visual/near‐infrared reflectance spectroscopy |
author_facet |
Isaksson, Tomas Swensen, Lars P Taylor, Richard G Fjæra, Svein O Skjervold, Per O |
author_sort |
Isaksson, Tomas |
title |
Non‐destructive texture analysis of farmed Atlantic salmon using visual/near‐infrared reflectance spectroscopy |
title_short |
Non‐destructive texture analysis of farmed Atlantic salmon using visual/near‐infrared reflectance spectroscopy |
title_full |
Non‐destructive texture analysis of farmed Atlantic salmon using visual/near‐infrared reflectance spectroscopy |
title_fullStr |
Non‐destructive texture analysis of farmed Atlantic salmon using visual/near‐infrared reflectance spectroscopy |
title_full_unstemmed |
Non‐destructive texture analysis of farmed Atlantic salmon using visual/near‐infrared reflectance spectroscopy |
title_sort |
non‐destructive texture analysis of farmed atlantic salmon using visual/near‐infrared reflectance spectroscopy |
publisher |
Wiley |
publishDate |
2001 |
url |
http://dx.doi.org/10.1002/jsfa.997 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjsfa.997 https://onlinelibrary.wiley.com/doi/pdf/10.1002/jsfa.997 |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_source |
Journal of the Science of Food and Agriculture volume 82, issue 1, page 53-60 ISSN 0022-5142 1097-0010 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/jsfa.997 |
container_title |
Journal of the Science of Food and Agriculture |
container_volume |
82 |
container_issue |
1 |
container_start_page |
53 |
op_container_end_page |
60 |
_version_ |
1810432460499976192 |