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dc.contributor.authorOrtega, Samuel
dc.contributor.authorOfstad, Ragni
dc.contributor.authorSyed, Shaheen
dc.contributor.authorKranz, Mathias
dc.contributor.authorHeia, Karsten
dc.contributor.authorAnderssen, Kathryn Elizabeth
dc.date.accessioned2023-04-20T07:39:45Z
dc.date.available2023-04-20T07:39:45Z
dc.date.created2023-03-27T10:43:45Z
dc.date.issued2023
dc.identifier.citationApplied Food Research. 2023, 3 (1), .
dc.identifier.issn2772-5022
dc.identifier.urihttps://hdl.handle.net/11250/3063942
dc.description.abstractIn recent years, cases of vasskveite (water halibut) syndrome in halibut have been increasing. At the moment, there exists no way to screen for the syndrome immediately after capture, which is problematic for both exporters and purchasers. In this article, we compared good quality halibut and halibut exhibiting the syndrome using a variety of techniques. Hyperspectral imaging was used to quantify the relative amounts of fat and water in the tissue. Diffusion tensor imaging was used to characterize tissue structure. Histology was performed to provide direct visual characterization of the tissue. Results indicate the muscle fibers in afflicted fish exhibit disordered growth and the tissue is lacking in fat. These results are in line with the current theory that the syndrome stems from a nutritional deficiency in the halibut diet. Hyperspectral imaging appears to be a promising technology to rapidly identify afflicted halibut immediately after capture.
dc.language.isoeng
dc.titleCharacterization of vasskveite (water halibut) syndrome for automated detection
dc.title.alternativeCharacterization of vasskveite (water halibut) syndrome for automated detection
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber0
dc.source.volume3
dc.source.journalApplied Food Research
dc.source.issue1
dc.identifier.doi10.1016/j.afres.2022.100250
dc.identifier.cristin2137087
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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