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Prediction of Pork Water-holding Capacity using Hyperspectral Scattering Technique

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  2010 Pittsburgh, Pennsylvania, June 20 - June 23, 2010  1008571.(doi:10.13031/2013.29655)
Authors:   Wei Wang, Yankun Peng, Jianhu Wu
Keywords:   Pork, Water-Holding Capacity (WHC), Drip Loss, Hyperspectral Scattering Technique.

Since the color of PSE (pale, soft and exudative) pork is similar to RFN (reddish-pink, firm and non-exudative) pork, most chemical or physical procedures have failed to differentiate them. Water-holding capacity (WHC) of postmortem fresh meat is an important indicator of PSE pork, therefore the objectives of the current study were to find the feasibility of using the hyperspectral scattering techniques, coupling with the curve fitting method of Modified Lorentzian distribution (MLD ) function with three parameters to predict the WHC. The optical scattering profiles were derived from the hyperspectral images and fitted to the modified Lorentzian function. And then the individual parameter spectra and the corresponding four optimal wavelengths(495,525,980 and 990nm) which can be used to character the WHC were then acquired. A prediction model with the optimal wavelengths was established by the MLR method for all calibration samples, and it was then validated by the validation set. The resultant model was able to predict the WHC with R2= 0.8464, SEV=0.44, which indicated the feasibility of the method proposed in this article.

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