熟肉
食品科学
主成分分析
化学
极限抗拉强度
纹理(宇宙学)
线性回归
数学
材料科学
复合材料
统计
计算机科学
图像(数学)
人工智能
作者
Ana M. Herrero,Lorenzo de la Hoz,Juan Antonio Ordóñez Pereda,Beatriz Herranz,María Dolores Romero de Ávila,Marı́a Isabel Cambero Rodríguez
出处
期刊:Meat Science
[Elsevier]
日期:2008-11-01
卷期号:80 (3): 690-696
被引量:96
标识
DOI:10.1016/j.meatsci.2008.03.008
摘要
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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