平滑、导数、基线校正对近红外光谱PLS定量分析的影响研究

摘要
参考文献
相关文章 (15)

全文: PDF (956 KB)
输出: BibTeX | EndNote (RIS)

摘要：基于偏最小二乘法，利用平滑、导数、基线校正预处理手段，对近红外光谱进行了定量分析，比较了分析结果，给出了不同预处理方法的PRESS值和RMSEC的值，比较并选取了最佳预处理方法。在平滑预处理方法中，比较了不同平滑点数对预测的影响，确定了最佳平滑点数，通过采用PLS回归分析，与原始光谱数据回归比较，结果令人满意。

关键词：平滑;导数;基线校正;近红外;PLS;定量分析

Abstract：This paper studied the influence of using pre-procession such as smooth, 1st derivative and baseline correction on the analyｓis of near-infrared spectrum. Comparing the analysis results by the pre-procession methods, and using PLS arithmetic, the best pre-procession was determined. In smooth pre-procession method, the best smooth points were proposed for regression using PLS. The analysis result is satisfactory.

Key words：Smooth;1st derivative;baseline correction;Near-infrared;PLS;Quantitative analysis

收稿日期: 2003-02-16 修订日期: 2003-05-06

中图分类号:

O657.3

通讯作者: 郑咏梅

引用本文:

郑咏梅¹，张铁强¹，张军²，陈星旦²，申铉国¹ . 平滑、导数、基线校正对近红外光谱PLS定量分析的影响研究[J]. 光谱学与光谱分析, 2004, 24(12): 1546-1548.
ZHENG Yong-mei¹, ZHANG Tie-qiang¹, ZHANG Jun², CHEN Xing-dan², SHEN Xuan-guo¹ . Influence of Smooth，1st Derivative and Baseline Correction on the Near-Infrared Spectrum Analysis with PLS . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2004, 24(12): 1546-1548.

链接本文:

https://www.gpxygpfx.com/CN/Y2004/V24/I12/1546