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Prediction of pork quality at the slaughter line using a portable Raman device

Title data

Scheier, Rico ; Scheeder, Martin ; Schmidt, Heinar:
Prediction of pork quality at the slaughter line using a portable Raman device.
In: Meat Science. Vol. 103 (May 2015) . - pp. 96-103.
ISSN 1873-4138
DOI: https://doi.org/10.1016/j.meatsci.2015.01.009

Project information

Project title:
Project's official title
Project's id
Forschungsstelle für Nahrungsmittelqualität (ForN) der Universität Bayreuth am Standort Kulmbach
No information

Project financing: Europäische Strukturfonds
EFRE
Hermann Herzer Stiftung

Abstract in another language

Raman spectroscopy is providing a fingerprint of the early postmortem metabolism in meat. In this study, for the first time, Raman spectroscopy is shown to measure and predict quality traits of intact muscles at the slaughtering process. Porcine semimembranosus muscles (N=151) were measured 30-60 min post mortem at the veterinarian line of a commercial abattoir using a prototype handheld Raman device. The Raman spectra were regressed against technologically important quality traits as measured with classic reference methods. Predicting pH35, pH24 and drip loss with PLSR yielded coefficients of determination of 0.75, 0.58 and 0.83 and root mean square errors of cross validation of 0.09, 0.05 and 0.6%, respectively. This is demonstrating the on-line potential of early postmortem Raman spectra to measure pH35 and to predict pH24 and drip loss.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Drip loss; PLSR; pH
Institutions of the University: Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology > Chair Bioanalytical Sciences and Food Analytics
Profile Fields
Profile Fields > Emerging Fields
Profile Fields > Emerging Fields > Food and Health Sciences
Research Institutions
Research Institutions > Research Units
Research Institutions > Research Units > Forschungsstelle für Nahrungsmittelqualität - ForN
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology
Result of work at the UBT: Yes
DDC Subjects: 500 Science
500 Science > 570 Life sciences, biology
Date Deposited: 01 Apr 2015 07:28
Last Modified: 28 Jan 2016 07:04
URI: https://eref.uni-bayreuth.de/id/eprint/9681