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dc.contributor.authorAnderssen, Kathryn Elizabeth
dc.contributor.authorKranz, Mathias
dc.contributor.authorSyed, Shaheen
dc.contributor.authorStormo, Svein Kristian
dc.date.accessioned2023-04-11T07:51:08Z
dc.date.available2023-04-11T07:51:08Z
dc.date.created2022-05-11T14:58:46Z
dc.date.issued2022
dc.identifier.citationFood Chemistry. 2022, 380 1-5.
dc.identifier.issn0308-8146
dc.identifier.urihttps://hdl.handle.net/11250/3062267
dc.description.abstractThe fiber structure of tissue in meat and seafood has a significant impact on their perceived quality. However, quantifiable description of muscle structure is challenging. We investigate diffusion tensor imaging (DTI) magnetic resonance imaging (MRI) as a method to quantitatively describe tissue structure. DTI measures the anisotropy of water molecule diffusion within muscle fibers. A pilot study evaluated three different cod loin samples: one of high-quality, one of medium-quality, and one of poor-quality. DTI parameters such as fractional anisotropy, axial diffusion and radial diffusion showed clear differences between the sample qualities. Changes in the DTI metrics consistent with freezing and thawing damage to the tissue were observed. The DTI maps were compared to T2-weighted images and DTI detected significant details that were not visible in T2-weighted images. Overall, these results indicate that DTI is a promising method for spatially-resolved characterization of tissue structure in seafood and meat.
dc.description.abstractDiffusion tensor imaging for spatially-resolved characterization of muscle fiber structure in seafood
dc.language.isoeng
dc.titleDiffusion tensor imaging for spatially-resolved characterization of muscle fiber structure in seafood
dc.title.alternativeDiffusion tensor imaging for spatially-resolved characterization of muscle fiber structure in seafood
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber1-5
dc.source.volume380
dc.source.journalFood Chemistry
dc.identifier.doi10.1016/j.foodchem.2022.132099
dc.identifier.cristin2023664
dc.relation.projectNorges forskningsråd: 309259
dc.relation.projectNorges forskningsråd: 294805
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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