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Feasibility of boar taint classification using a portable Raman device

Title data

Liu, Xiaoye ; Schmidt, Heinar ; Mörlein, Daniel:
Feasibility of boar taint classification using a portable Raman device.
In: Meat Science. Vol. 116 (2016) . - pp. 133-139.
ISSN 1873-4138
DOI: https://doi.org/10.1016/j.meatsci.2016.02.015

Official URL: Volltext

Abstract in another language

The feasibility of Raman spectroscopy for boar taint detection and classification was investigated using tainted and untainted backfat samples of 46 boars. For this exploratory study, backfat samples were selected according to their levels of androstenone and skatole as determined by gas chromatography and their sensory score by a trained panel. Raman spectra were collected with a portable device at freshly cut surfaces of frozen-thawed samples. Both inner and outer layers of subcutaneous fat were studied. Their varying level of unsaturation was reflected in the Raman spectra. Partial least squares regression discriminant analysis (PLS-DA) was applied to the spectra together with various pre-processing methods. A model using only spectra obtained at the inner layer resulted in the highest classification accuracy for boar taint (81% of samples correctly classified). The discrimination is shown to reflect differences in the degree of fatty acid saturation between tainted and untainted boars. In conclusion, the findings suggest that with further development Raman spectroscopy may be used to classify boar taint.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Raman spectroscopy; Androstenone; Skatole; Rapid detection; Pork, Quality control; Slaughter; Animal welfare; Piglet castration; Chemometrics; Subcutaneous fat; Fatty acid composition
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology > Lehrstuhl Bioanalytik und Lebensmittelanalytik > Lehrstuhl Bioanalytik und Lebensmittelanalytik - Univ.-Prof. Dr. Andreas Römpp
Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology > Lehrstuhl Bioanalytik und Lebensmittelanalytik
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 530 Physics
500 Science > 570 Life sciences, biology
Date Deposited: 09 Jul 2018 06:59
Last Modified: 09 Jul 2018 08:19
URI: https://eref.uni-bayreuth.de/id/eprint/44986