Please use this identifier to cite or link to this item:
|Title:||Non-destructive and rapid analysis of chemical compositions in Thai steamed pork sausages by near-infrared spectroscopy|
National Institute of Advanced Industrial Science and Technology
Kwansei Gakuin University
|Keywords:||Agricultural and Biological Sciences;Chemistry|
|Citation:||Food Chemistry. Vol.129, No.2 (2011), 684-692|
|Abstract:||The objective of the present study was to evaluate the ability of near-infrared (NIR) spectroscopy to predict chemical compositions of Thai steamed pork sausages in relation to different types of sample presentation forms of NIR measurements (with and without plastic casing). NIR spectra of sausages were scanned to predict the chemical compositions, protein, fat, ash and carbohydrate non-destructively. NIR spectrum features of the sausage samples were strongly influenced by physical properties of the samples, such as the presence of plastic casing and inhomogeneous physical structure inside the samples, yielding significant baseline fluctuations. Thus, regression models were developed using partial least squares (PLS) regressions with two pretreatment methods, namely multiplicative scatter correction (MSC) and second derivative, which overcame the baseline problems. The prediction results suggest that the contents for the protein, fat and moisture can be estimated well with the proper selection of the pretreatment method. © 2011 Elsevier Ltd. All rights reserved.|
|Appears in Collections:||Scopus 2011-2015|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.