The aim of this study was to classify whole-leg cooked hams, made without polyphosphates, by Linear Discriminant Analysis. Principal Component Analysis (PCA) was used for the selection of significant variables. Thirty-two variables were evaluated on twenty-six cooked hams prepared using different levels of brine injection and legs from pork bred in different countries (France or Denmark). Previously published data related to twenty hams were also used for classification. A chemometric model, based on ten variables, was obtained by using PCA. The variables were pH, moisture, protein, fat, NaCl, superficial wateriness, L* and a*/b* of biceps femoris muscle, modulus and elasticity index of semitendinosus muscle. Discriminant functions calculated using PCA-selected variables enable correct classification of the cooked hams according to the origin of the meat used and, when this is the same, according to the percentage of brine injected.

Cooked ham classification on the basis of brine injection level and pork breeding country / E. Casiraghi, C. Alamprese, C. Pompei. - In: LEBENSMITTEL-WISSENSCHAFT + TECHNOLOGIE. - ISSN 0023-6438. - 40:1(2007), pp. 164-169. [10.1016/j.lwt.2005.07.007]

Cooked ham classification on the basis of brine injection level and pork breeding country

E. Casiraghi;C. Alamprese;C. Pompei
2007

Abstract

The aim of this study was to classify whole-leg cooked hams, made without polyphosphates, by Linear Discriminant Analysis. Principal Component Analysis (PCA) was used for the selection of significant variables. Thirty-two variables were evaluated on twenty-six cooked hams prepared using different levels of brine injection and legs from pork bred in different countries (France or Denmark). Previously published data related to twenty hams were also used for classification. A chemometric model, based on ten variables, was obtained by using PCA. The variables were pH, moisture, protein, fat, NaCl, superficial wateriness, L* and a*/b* of biceps femoris muscle, modulus and elasticity index of semitendinosus muscle. Discriminant functions calculated using PCA-selected variables enable correct classification of the cooked hams according to the origin of the meat used and, when this is the same, according to the percentage of brine injected.
Chemometric model; Cooked ham; Multivariate analysis
Settore AGR/15 - Scienze e Tecnologie Alimentari
LEBENSMITTEL-WISSENSCHAFT + TECHNOLOGIE
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/37692
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