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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Published in:Journal of the Science of Food and Agriculture
Main Authors: Isaksson, Tomas, Swensen, Lars P, Taylor, Richard G, Fjæra, Svein O, Skjervold, Per O
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2001
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Online Access:http://dx.doi.org/10.1002/jsfa.997
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spelling 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
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
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
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