Rapid compositional analysis of Atlantic salmon (Salmo salar) using visible‐near infrared reflectance spectroscopy |
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Authors: | Malcolm R Brown Peter D Kube Richard S Taylor Nick G Elliott |
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Institution: | CSIRO Food Futures Flagship, and CSIRO Marine and Atmospheric Research, , Hobart, Tasmania, Australia |
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Abstract: | Rapid measurement of salmon flesh quality parameters (>400 samples day?1) was demonstrated in the laboratory and remotely at industrial sites. Visible‐near infrared spectroscopy (VNIRS) was applied to predict astaxanthin (AX) and fat content in farmed Atlantic salmon. Fish were sampled from thirteen batches (1–6 kg whole weight, containing 2.3–16.3% fat and 1.2–12.5 μg g?1 AX), and models validated on small (average ± SD: 1.4 ± 0.4 kg) and large fish (4.2 ± 0.9 kg). Both constituents were well predicted in minced Norwegian Quality Cutlet (NQC) samples (r2 ≥ 0.86; standard error of prediction (SEP) ≤0.7% for fat and ≤0.7 μg g?1 for AX). Comparable metrics were observed for AX prediction in whole NQCs (r2 = 0.80–0.88; SEP 0.7 μg g?1). Fat was better predicted in small fish than large fish for whole NQCs (r2 = 0.82, SEP 1.0% cf r2 = 0.59, SEP = 0.59%) and non‐destructive scanning through the skin of whole, gutted fish (r2 = 0.77, SEP = 1.2% cf r2 = 0.49, SEP = 1.5%). Models were also developed for screening polyunsaturated fatty acid (PUFA) concentrations, e.g. in NQCs for docosahexaenoic acid (r2 = 0.73) and n‐3:n‐6 PUFA (r2 = 0.89). |
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Keywords: | Astaxanthin Atlantic salmon chemical analysis fat rapid prediction near infrared reflectance spectroscopy |
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