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
(2015)
.
- pp. 96-103.
ISSN 1873-4138
DOI: https://doi.org/10.1016/j.meatsci.2015.01.009
Project 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 Life Sciences: Food, Nutrition and Health > 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 Faculties > Faculty of Life Sciences: Food, Nutrition and Health |
| 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 Aug 2025 13:49 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/9681 |

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