Windowing technique for determining the composition of organic samples by near-infrared reflectance

Lorna S. Aucott*, Stephen T. Buckland, Paul H. Garthwaite, Ian M. Nevison, Ian Murray

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

A method of windowing regions of interest in near-infrared reflectance spectra is described. Windows are bounded by wavelengths at which spectra from all samples are re-scaled to zero. These bounds are determined numerically to maximize the correlation between the scaled spectral values within a window and chemical composition, as determined by wet-chemical methods, of a calibration set of samples. It is shown that the method yields predictions of chemical composition of forages that are, on average, more accurate than comparable methods based on principal components regression.

Original languageEnglish
Pages (from-to)947-952
Number of pages6
JournalThe Analyst
Volume117
Issue number6
DOIs
Publication statusPublished - 1 Jan 1992

Keywords

  • Near-infrared reflectance spectroscopy
  • Principal components regression

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