Journal
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
Volume 28, Issue 10, Pages 1201-1222Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.trac.2009.07.007
Keywords
Multiplicative Scatter Correction; Near-infrared spectroscopy; Normalization; Norris-Williams derivation; Pre-processing; Savitzky-Golay derivation; Scatter correction; Spectral derivative; Standard Normal Variate; Review
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Pre-processing of near-infrared (NIR) spectral data has become an integral part of chemometrics modeling. The objective of the pre-processing is to remove physical phenomena in the spectra in order to improve the subsequent multivariate regression, classification model or exploratory analysis. The most widely used pre-processing techniques can be divided into two categories: scatter-correction methods and spectral derivatives. This review describes and compares the theoretical and algorithmic foundations of current pre-processing methods plus the qualitative and quantitative consequences of their application. The aim is to provide NIR users with better end-models through fundamental knowledge on spectral pre-processing. (C) 2009 Elsevier Ltd. All rights reserved.
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