Wavelength selection for the determination of glucose in human serum by near-infrared spectroscopy

被引：1
|
作者：
Ding, Q [1 ]
Small, GW [1 ]
机构：
[1] Ohio Univ, Clippinger Labs, Dept Chem, Ctr Intelligent Chem Instrumentat, Athens, OH 45701 USA
来源：
FOURIER TRANSFORM SPECTROSCOPY | 1998年 / 430期
关键词：
D O I：
10.1063/1.55777
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
A genetic algorithm (GA)-based wavelength selection procedure is developed to allow joint optimization of near-infrared wavelengths used and the number of latent variables employed in building partial least-squares calibration models for the determination of glucose in human serum samples. The random selection of a small number of initial wavelengths is found to decrease the number of final wavelengths selected dramatically. The effect of spectral resolution on the wavelength selection is also evaluated.
引用
收藏
页码：264 / 267
页数：4
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