NDLI: On-line Estimation of Fresh Milk Composition by means of VIS-NIR Spectrometry and Partial Least Squares Method (PLS)

Content Provider	IEEE Xplore Digital Library
Author	Artime, C.E.C. de la Fuente, J.A.B. Garcia, M.A.P. Vega, R.M. Blanco, N.C.
Copyright Year	2008
Description	Author affiliation: Dept. de Estadistica e Investig. Operativa, Univ. de Oviedo, Gijon (Artime, C.E.C.)
Abstract	Visible and near InfraRed (VIS-NIR) spectrometry from 400 to 1100 nm in addition to partial least squares (PLS) regression is a very interesting method to measure several important parameters of non-homogenised fresh milk such as fat, lactose and total protein content. These parameters can be used to analyze the nutritional properties of milk and, consequently they are very important to determine the economic value of produced milk. The potential of VIS-NIR spectrometry in a spectral region below 1100 nm has been studied in this paper due to working in this region, a low-cost system would be obtain. Several fresh milk samples taken during milking process were analyzed by means of standard measurement procedures and VIS-NIR spectrometry in order to verify the capabilities and precision of proposed method. As will be seen in next sections, this method is very interesting for fat content estimation, but it present some problems for total protein and lactose measurement, probably due to the low value of protein and lactose spans.
Starting Page	1471
Ending Page	1475
File Size	2116637
Page Count	5
File Format	PDF
ISBN	9781424415403
ISSN	10915281
DOI	10.1109/IMTC.2008.4547275
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-12
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dairy products Spectroscopy Least squares methods Proteins Laboratories Least squares approximation Costs Photodiodes Temperature control Control systems PLS TMilk composition on-line sensors spectrometry PCR
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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