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Preliminary investigation of the use of Raman spectroscopy to predict meat and eating quality traits of beef loins

Title data

Fowler, Stephanie M. ; Schmidt, Heinar ; van de Ven, Remy ; Hopkins, David L.:
Preliminary investigation of the use of Raman spectroscopy to predict meat and eating quality traits of beef loins.
In: Meat Science. Vol. 138 (April 2018) . - pp. 53-58.
ISSN 1873-4138
DOI: https://doi.org/10.1016/j.meatsci.2018.01.002

Abstract in another language

A preliminary investigation was conducted to determine the potential for a handheld Raman spectroscopic device to predict sensory traits determined by an untrained consumer panel. Measurement of 45 beef loins (M. longissimus lumborum) was conducted using a 671 nm handheld Raman spectroscopic device. Samples were then held frozen until testing by an untrained sensory panel. Sections were also excised to determine shear force values and other indicators of meat quality. Derived models suggest that the Raman spectroscopic device can predict juiciness and tenderness, with correlations between predicted and observed values (rho) of 0.42 and 0.47, respectively. Spectra indicated that these predictions were characterised by the fatty acid concentration, the hydrophobicity of proteins and the orientation of collagen. However, future research is required to determine the repeatability and robustness of these models on a larger independent data set.

Further data

Item Type: Article in a journal
Refereed: Yes
Additional notes: ISI:000425198300008
Keywords: Sensory traits; Optic technologies; Carcase assessment
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
Graduate Schools > Bayreuth Graduate School of Mathematical and Natural Sciences (BayNAT) > Molecular Biosciences
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 500 Natural sciences
500 Science > 540 Chemistry
500 Science > 570 Life sciences, biology
Date Deposited: 30 Jul 2019 08:39
Last Modified: 30 Jul 2019 08:39
URI: https://eref.uni-bayreuth.de/id/eprint/51618