Published 2025

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Publication details

Journal : Aquaculture , vol. 597 , p. 1–11 , 2025

International Standard Numbers :
Printed : 0044-8486
Electronic : 1873-5622

Publication type : Academic article

Contributors : Ortega Sarmiento, Samuel; Lutfi Royo, Esmail; Horn, Siri Storteig; Durland, Evan

Research areas

Quality and measurement methods

Farmed fish

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Kjetil Aune
Chief Librarian
kjetil.aune@nofima.no

Summary

Lipid accumulation in the liver compromises the health and robustness of farmed fish, yet there is a lack of high-throughput methods for accurately measuring liver fat. Hyperspectral imaging holds promise as a rapid and cost-effective method for estimating tissues fat content in aquaculture species. In this study, we evaluated the efficacy of hyperspectral imaging in estimating liver fat content in three commercially relevant aquaculture species: Atlantic salmon, European Seabass, and Atlantic Cod. Two hyperspectral cameras were used to cover different spectral ranges, including the Visible and Near-Infrared (VNIR) and Shortwave Infrared (SWIR) regions. Partial least squares regression (PLSR) models based on VNIR and SWIR spectra show medium to high accuracy for predicting liver fat (R2 = 0.62–0.89), depending on the species and wavelength region. Spectral differences between liver tissues from the three species were distinct, as were regression coefficients for PLSR models to predict fat content. These results demonstrate the utility of hyperspectral imaging as a high-throughput method to assess liver fat in aquaculture finfish.

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