Literature by the same author
plus at Google Scholar

Bibliografische Daten exportieren
 

Prediction of intramuscular fat content and major fatty acid groups of lamb M. longissimus lumborum using Raman spectroscopy

Title data

Fowler, Stephanie M. ; Ponnampalam, Eric N. ; Schmidt, Heinar ; Wynn, Peter ; Hopkins, David L.:
Prediction of intramuscular fat content and major fatty acid groups of lamb M. longissimus lumborum using Raman spectroscopy.
In: Meat Science. Vol. 110 (December 2015) . - pp. 70-75.
ISSN 1873-4138
DOI: https://doi.org/10.1016/j.meatsci.2015.06.016

Project information

Project financing: Andere

Abstract in another language

A hand held Raman spectroscopic device was used to predict intramuscular fat (IMF) levels and the major fatty acid (FA) groups of fresh intact ovine M. longissimus lumborum (LL). IMF levels were determined using the Soxhlet method, while FA analysis was conducted using a rapid (KOH in water, methanol and sulphuric acid in water) extraction procedure. IMF levels and FA values were regressed against Raman spectra using partial least squares regression and against each other using linear regression. The results indicate that there is potential to predict PUFA (R2 = 0.93) and MUFA (R2 = 0.54) as well as SFA values that had been adjusted for IMF content (R2 = 0.54). However, this potential was significantly reduced when correlations between predicted and observed values were determined by cross validation (R2cv = 0.21–0.00). Overall, the prediction of major FA groups using Raman spectra was more precise (relative reductions in error of 0.3–40.8%) compared to the null models.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology > Chair Bioanalytical Sciences and Food Analytics
Research Institutions > Research Units > Forschungsstelle für Nahrungsmittelqualität - ForN
Research Institutions
Research Institutions > Research Units
Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 530 Physics
500 Science > 570 Life sciences, biology
Date Deposited: 25 Jan 2016 09:44
Last Modified: 17 Mar 2016 09:59
URI: https://eref.uni-bayreuth.de/id/eprint/29905