PLS Analysis of FT-IR Spectrum of  at Different Growth Stages

LI Si-hai; PAN Xin-bo; REN Zhen; GU Zhi-rong; WANG Ya-li

doi:10.11653/syfj2013120132

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PLS Analysis of FT-IR Spectrum of at Different Growth Stages

更新时间：2024-01-04

- PLS Analysis of FT-IR Spectrum of at Different Growth Stages
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 19, Issue 12, Pages: 132-135(2013)
- 作者机构：
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- DOI：10.11653/syfj2013120132
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- Published：2013
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LI Si-hai, PAN Xin-bo, REN Zhen, et al. PLS Analysis of FT-IR Spectrum of at Different Growth Stages[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(12): 132-135.
DOI：

LI Si-hai, PAN Xin-bo, REN Zhen, et al. PLS Analysis of FT-IR Spectrum of at Different Growth Stages[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(12): 132-135. DOI： 10.11653/syfj2013120132.

摘要

目的: 研究偏最小二乘(PLS)方法在不同生长期当归傅里叶变换红外光谱(FT-IR)分析中的应用。方法: 使用正交信号校正及小波压缩(OSCW)对原始FT-IR信号进行预处理

然后对预处理后的光谱信号进行PLS分析

提取前2个主成分对3种不同生长期的当归进行聚类。结果: 3种生长期的当归被正确地分为3类

聚类结果与当归的生长期密切相关

反映了不同生长期当归在主要化学成分含量上存在一定的差异。结论: 对光谱信号进行正交信号校正及小波压缩处理能够有效降低光谱信号的噪声

有助于提高聚类性能。

Abstract

Objective: To study application of partial least squares in fourier transforn infrared spectroscopy(FT-IR) spectrum analysis for Angelica sinensis at different growth stages. Method: Pretreatment method of orthogonal signal correction and wavelet compression(OSCW) was used to reject uncorrelated variables in the original spectra before partial least squares(PLS) analysis. the first two principal components were employed to cluster samples of A. sinensis at different growth stages. Result: All samples are properly classified into three categories according to their growth stage

the results of clustering was closely related to their growing period

which reflect the differences in relative content of main chemical composition among the samples from various growing period. Conclusion: The proposed method that established with orthogonal signal correction plus wavelet compression can decrease noise of FT-IR spectrum and help to improve the clustering performance.

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Related Author

Bin GE

Mei QI

Yu-jing SUN

Ai-xia XU

Zhuan-xia MA

Lan-ping SUN

Tian-xiang MA

Zhi-rong GU

Related Institution

Gansu Provincial Hospital

College of Pharmacy, Gansu University of Chinese Medicine

Key Laboratory of Chinese Medicine Quality and Standard in Gansu Province

College of Pharmacy, Ningxia Medical University

The Second People's Hospital of Yinchuan

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