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Analysis of artificial mixtures of pure chemicals by near-infrared reflectance

Published online by Cambridge University Press:  27 March 2009

G. Z. Wetherill
Affiliation:
Scottish Agricultural Statistics Service, University of Edinburgh, King's Buildings, Edinburgh EH9 3JZ, UK
I. Murray
Affiliation:
North of Scotland College of Agriculture, 581 King Street, Aberdeen AB9 1UD, UK
C. A. Glasbey
Affiliation:
Scottish Agricultural Statistics Service, University of Edinburgh, King's Buildings, Edinburgh EH9 3JZ, UK

Summary

Compositional analysis of feeds and other materials by near-infrared reflectance (NIR) has been proposed as a cheap and rapid alternative to traditional wet chemical methods. A theoretical basis for NIR measurements is needed and may be obtained from the study of artificial mixtures of pure chemicals.

Mixtures of lactose, casein and sodium oleate, in widely differing concentrations, were analysed by NIR. Principal component analysis was used to study the variations between spectra, and multiple linear regressions gave predictors of sample compositions from the spectra. Optical densities at most combinations of wavelengths gave good predictions of sample compositions because there was much less unexplained variation between NIR spectra than would occur between natural samples.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1990

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