Title of article :
A correlative study on data from pork carcass and processed meat (Bauernspeck) for automatic estimation of chemical parameters by means of near-infrared spectroscopy
Author/Authors :
Boschetti، نويسنده , , Lucio and Ottavian، نويسنده , , Matteo and Facco، نويسنده , , Pierantonio and Barolo، نويسنده , , Massimiliano and Serva، نويسنده , , Lorenzo and Balzan، نويسنده , , Stefania and Novelli، نويسنده , , Enrico، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Abstract :
The use of near-infrared spectroscopy (NIRS) is proposed in this study for the characterization of the quality parameters of a smoked and dry-cured meat product known as Bauernspeck (originally from Northern Italy), as well as of some technological traits of the pork carcass used for its manufacturing. In particular, NIRS is shown to successfully estimate several key quality parameters (including water activity, moisture, dry matter, ash and protein content), suggesting its suitability for real time application in replacement of expensive and time consuming chemical analysis. Furthermore, a correlative approach based on canonical correlation analysis was used to investigate the spectral regions that are mostly correlated to the characteristics of interest. The identification of these regions, which can be linked to the absorbance of the main functional chemical groups, is intended to provide a better understanding of the chemical structure of the substrate under investigation.
Keywords :
Near-infrared spectroscopy , Bauernspeck , Partial least squares regression , Food quality , Canonical Correlation Analysis
Journal title :
Meat Science
Journal title :
Meat Science