Journal
JOURNAL OF CHROMATOGRAPHY A
Volume 1158, Issue 1-2, Pages 196-214Publisher
ELSEVIER
DOI: 10.1016/j.chroma.2007.05.024
Keywords
supervised pattern recognition; food analysis; multivariate data analysis; chemometrics
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Data analysis has become a fundamental task in analytical chemistry due to the great quantity of analytical information provided by modem analytical instruments. Supervised pattern recognition aims to establish a classification model based on experimental data in order to assign unknown samples to a previously defined sample class based on its pattern of measured features. The basis of the supervised pattern recognition techniques mostly used in food analysis are reviewed, making special emphasis on the practical requirements of the measured data and discussing common misconceptions and errors that might arise. Applications of supervised pattern recognition in the field of food chemistry appearing in bibliography in the last two years are also reviewed. (c) 2007 Elsevier B.V. All rights reserved.
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