Application of principal component-all possible regression in quantitative analysis of flue-cured tobacco and wheat using near-infrared spectroscopy

被引：0

作者：

Zhang, LD ^{[1
]}

Shen, XN

Zhao, LL

Li, JH

Zhang, JP

Xie, WY

Shu, RX

机构：

[1] China Agr Univ, Coll Basic Sci & Technol, Beijing 100094, Peoples R China

[2] Shanghai Tobacco Grp, Corp Tech Ctr, Shanghai 200082, Peoples R China

来源：

CHINESE JOURNAL OF ANALYTICAL CHEMISTRY | 2000年 / 28卷 / 06期

关键词：

near-infrared spectroscopy; principal components; regression; flue-cured tobacco; wheat;

D O I：

暂无

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

In this paper, near-infrared spectroscopy quantitative analysis of samples of flue-cured tobacco and wheat is discussed using principal components-all possible regression(PCR-SR). The study shows the calibration models for the determination of total sugars, reducing sugars in flue-cured tobacco and for protein in wheat have good predictive results, and the calculation results of principal component-all possible regression are as good as the results of partial least squares method.

引用

页码：723 / 726

页数：4