Non-destructive texture analysis of farmed Atlantic salmon using visual/near-infrared reflectance spectroscopy

• Published in: Journal of the science of food and agriculture 2002-01, Vol.82 (1), p.53-60
• Main Authors: Isaksson, Tomas, Swensen, Lars P, Taylor, Richard G, Fjæra, Svein O, Skjervold, Per O
• Format: Article
• Language: English
• Subjects: Biological and medical sciences; firmness; fish; Fish and seafood industries; Food industries; Fundamental and applied biological sciences. Psychology; General aspects; Kramer; Marine; Methods of analysis, processing and quality control, regulation, standards; NIR; non-destructive; Salmo salar; salmon; texture; TPA; VIS
• ISSN: 0022-5142; 1097-0010
• DOI: 10.1002/jsfa.997

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