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dc.contributor.authorAndersen, Petter Vejle
dc.contributor.authorAfseth, Nils Kristian
dc.contributor.authorGjerlaug-Enger, Eli
dc.contributor.authorWold, Jens Petter
dc.date.accessioned2021-08-17T07:15:23Z
dc.date.available2021-08-17T07:15:23Z
dc.date.created2021-01-14T11:47:26Z
dc.date.issued2021
dc.identifier.issn0309-1740
dc.identifier.urihttps://hdl.handle.net/11250/2768671
dc.description.abstractThe main purpose of this study was to investigate if Raman spectra recorded at the exact same position as drip loss measurements could improve prediction of drip loss in pork. One ventral and one dorsal cylindrical plug, cut from a standardized slice from Longissimus lumborum, were used to determine drip loss by EZ-DripLoss method and to collect Raman spectra, while ultimate pH was measured at another location. Partial least squares regression models were developed using spectra from each plug individually or averaged spectra from both plugs. The best models used spectra from the ventral plug, resulting in rcv2=0.75, root mean square error of cross-validation (RMSECV) = 1.27% and ratio of prediction to deviation (RPD) =2.0 for EZ-DripLoss and rcv2=0.72, RMSECV = 0.05 and RPD = 2.0 for ultimate pH. Results indicate that Raman spectroscopy can be used for rough screening of drip loss and pH in pork, and that the location chosen for collection of spectra can be very important for successful predictions.
dc.language.isoeng
dc.subjectDrip loss
dc.subjectDrip loss
dc.subjectWater holding capacity
dc.subjectWater holding capacity
dc.subjectRamanspektroskopi
dc.subjectRaman spectroscopy
dc.titlePrediction of water holding capacity and pH in porcine longissimus lumborum using Raman spectroscopy
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.volume172
dc.source.journalMeat Science
dc.identifier.doi10.1016/j.meatsci.2020.108357
dc.identifier.cristin1871240
dc.relation.projectNorges forskningsråd: 262308
dc.relation.projectNofima AS: 201702
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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