Predicting tenderness of fresh ovine semimembranosus using Raman spectroscopy

Stephanie M Fowler; Heinar Schmidt; Remy van de Ven; Peter Wynn; David L Hopkins

doi:10.1016/j.meatsci.2014.02.018

Predicting tenderness of fresh ovine semimembranosus using Raman spectroscopy

Meat Sci. 2014 Aug;97(4):597-601. doi: 10.1016/j.meatsci.2014.02.018. Epub 2014 Mar 12.

Authors

Stephanie M Fowler¹, Heinar Schmidt², Remy van de Ven³, Peter Wynn⁴, David L Hopkins⁵

Affiliations

¹ School of Animal and Veterinary Sciences, Charles Sturt University, Wagga Wagga, Australia; Graham Centre for Agricultural Innovation, NSW Department of Primary Industries and Charles Sturt University, Wagga Wagga, Australia. Electronic address: sfowler@csu.edu.au.
² Research Centre of Food Quality, University of Bayreuth, Kulmbach, Germany.
³ Orange Institute of Agriculture, NSW Department of Primary Industries, Orange, Australia.
⁴ School of Animal and Veterinary Sciences, Charles Sturt University, Wagga Wagga, Australia; Graham Centre for Agricultural Innovation, NSW Department of Primary Industries and Charles Sturt University, Wagga Wagga, Australia.
⁵ Graham Centre for Agricultural Innovation, NSW Department of Primary Industries and Charles Sturt University, Wagga Wagga, Australia; Centre for Sheep and Red Meat Development, NSW Department of Primary Industries, Cowra, Australia.

PMID: 24785653
DOI: 10.1016/j.meatsci.2014.02.018

Abstract

A hand held Raman probe was used to predict shear force (SF) of fresh lamb m. semimembranosus (topside). Eighty muscles were measured at 1 day PM and after a further 4 days ageing (5 days PM). At 1 day PM sarcomere length (SL) and particle size (PS) were measured and at 5 days PM, SF, PS, cooking loss (CL) and pH were also measured. SF values were regressed against Raman spectra using partial least squares regression and against traditional predictors (e.g. SL) using linear regression. The best prediction of SF used spectra at 1 day PM which gave a root mean square error of prediction (RMSEP) of 11.5 N (Null = 13.2) and the squared correlation between observed and cross validated predicted values (R(2)cv) was 0.27. Prediction of SF based on the traditional predictors had smaller R(2) values than using Raman spectra justifying further study on Raman spectroscopy.

Keywords: Lamb; Meat quality assessment; Raman; Shear force.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Animals
Diet
Humans
Meat / analysis*
Muscle, Skeletal*
Sheep
Spectrum Analysis, Raman / methods*
Stress, Mechanical*