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dc.contributor.authorWold, Jens Petter
dc.contributor.authorKermit, Martin Andreas
dc.contributor.authorSegtnan, Vegard
dc.date.accessioned2018-02-07T07:56:38Z
dc.date.available2018-02-07T07:56:38Z
dc.date.created2016-08-08T14:35:34Z
dc.date.issued2016
dc.identifier.citationApplied Spectroscopy. 2016, 70 (6), 953-961.
dc.identifier.issn0003-7028
dc.identifier.urihttp://hdl.handle.net/11250/2483111
dc.description.abstractFoods and biomaterials are, in general, heterogeneous and it is often a challenge to obtain spectral data which are representative for the chemical composition and distribution. This paper presents a setup for near-infrared (NIR) transmission imaging where the samples are completely trans-illuminated, probing the entire sample. The system measures falling samples at high speed and consists of an NIR imaging scanner covering the spectral range 760–1040 nm and a powerful line light source. The investigated samples were rather big: whole pork bellies of thickness up to 5 cm, salmon fillets with skin, and 3 cm thick model samples of ground pork meat. Partial least square regression models for fat were developed for ground pork and salmon fillet with high correlations (R = 0.98 and R = 0.95, respectively). The regression models were applied at pixel level in the hyperspectral transmission images and resulted in images of fat distribution where also deeply embedded fat clearly contributed to the result. The results suggest that it is possible to use transmission imaging for rapid, nondestructive, and representative sampling of very heterogeneous foods. The proposed system is suitable for industrial use.
dc.language.isoeng
dc.titleChemical imaging of heterogeneous muscle foods using near-infrared hyperspectral imaging in transmission mode
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionacceptedVersion
dc.source.pagenumber953-961
dc.source.volume70
dc.source.journalApplied Spectroscopy
dc.source.issue6
dc.identifier.doi10.1177/0003702816641260
dc.identifier.cristin1371202
dc.relation.projectNorges forskningsråd: 225349
dc.relation.projectNofima AS: 10504
dc.relation.projectNorges forskningsråd: 208674
dc.relation.projectNofima AS: 4319
dc.relation.projectNorges forskningsråd: 225347
dc.relation.projectNofima AS: 201309
cristin.unitcode7543,3,2,0
cristin.unitnameRåvare og prosess
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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