Predicting fatty acid composition of lamb loin using Raman spectroscopy

Stephanie Fowler, Heinar Schmidt, Edward Clayton, Remy van de Ven, Kristy Bailes, Peter Wynn, David Hopkins

Research output: Book chapter/Published conference paperConference paperpeer-review


Fresh intact lamb muscle was measured using a Raman hand held device to determine the ability of Raman spectroscopy to predict intramuscular fat (IMF) and fatty acid (FA) composition. Raman measurements were conducted on 80 samples of longissimus thoracis lumborum (LL) from different carcases. Measured FA values were regressed on the Raman spectra using partial least squares (PLS) regression. Predicting polyunsaturated fattyacids (PUFA) yielded a squared correlation between predicted and measured values (R2cv)equal to 0.56 and a root mean square error of cross validation (RMSECV) of 16.2mg/100g meat. Prediction of PUFA: saturated fatty acids (SFA) gave an R2cv equalled to 0.15 and aRMSECV of 0.04. This is the first Ramanspectroscopy study to measure FA composition of IMF in intact muscle and there is evidence to suggest that Raman spectroscopy has the potential to predict PUFA and PUFA:SFA ratio. Further work is required to validate the models generated in this study and establish the potential benefit of Raman spectroscopy.
Original languageEnglish
Title of host publicationProceedings of the 60th International Congress of Meat Science and Technology
Place of PublicationNetherlands
PublisherElsevier BV
Number of pages4
Publication statusPublished - 2014
Event60th International Congress of Meat Science and Technology: ICoMST 2014 - Conrad Hotel, Punta Del Este, Uruguay
Duration: 17 Aug 201422 Aug 2014 (Conference proceedings) (final report) (List of presented papers)

Publication series

NameLatin-American Archives of Animal Production
PublisherLatin American Association of Animal Production
NumberSupplement 1
ISSN (Print)1022-1301
ISSN (Electronic)2075-8359


Conference60th International Congress of Meat Science and Technology
Abbreviated titleNature & Innovation with Due Respect
CityPunta Del Este
OtherPeer review evidence p42 of booklet
Internet address


Dive into the research topics of 'Predicting fatty acid composition of lamb loin using Raman spectroscopy'. Together they form a unique fingerprint.

Cite this