Abstract

The possibilities of using breaking strength (BS) and energy to fracture (EF) for monitoring textural properties of some cooked meat sausages (chopped, mortadella and galantines) were studied. Texture profile analysis (TPA), folding test and physico-chemical measurements were also performed. Principal component analysis enabled these meat products to be grouped into three textural profiles which showed significant ( p < 0.05) differences mainly for BS, hardness, adhesiveness and cohesiveness. Multivariate analysis indicated that BS, EF and TPA parameters were correlated ( p < 0.05) for every individual meat product (chopped, mortadella and galantines) and all products together. On the basis of these results, TPA parameters could be used for constructing regression models to predict BS. The resulting regression model for all cooked meat products was BS = −0.160 + 6.600 ∗ cohesiveness − 1.255 ∗ adhesiveness + 0.048 ∗ hardness − 506.31 ∗ springiness ( R 2 = 0.745, p < 0.00005). Simple linear regression analysis showed significant coefficients of determination between BS ( R 2 = 0.586, p < 0.0001) versus folding test grade (FG) and EF versus FG ( R 2 = 0.564, p < 0.0001).

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