中草药大黄小波变换的近红外光谱的聚类分析

Clustering Analysis of Near-Infrared Spectroscopy of Rhubarb by Wavelet Transform

[目的]采用近红外漫反射光谱法对41种大黄进行图谱扫描,为大黄的生药鉴定提供一种新方法。[方法]采用小波变换技术对近红外光谱进行压缩,减少训练时间,再采用近红外光谱法结合聚类分析方法对不同产地的大黄药材进行鉴别。[结果]NIR光谱经小波变换压缩后,将光谱变量从700减少到44个,用小波压缩的NIR光谱输入到聚类树鉴别模型,通过聚类分析的方法,对大黄正伪品进行了分类,识别正确率达到82.93%。[结论]近红外漫反射光谱法是一种快速、简便的鉴别分析技术,可用于大黄中药的质量控制。

[Objective] To conduct map scanning of 41 types of rhubarb by near-infrared diffuse reflectance spectrometry,and to provide a new method for the pharmacognostic identification of rhubarb.[Method] Near-infrared spectroscopy was compressed by wavelet transform technique.Training time was reduced;rhubarb in different production areas was identified by both near-infrared spectroscopy and clustering analysis method.[Result] After compression of wavelet transform by near-infrared spectroscopy,spectral variables reduced from 700 to 44.Wavelet compressed near-infrared spectroscopy was inputted to clustering tree identification model.Based on the clustering analysis,counterfeits of rhubarb were classified.And the recognition correct rate reached 82.93%.[Conclusion] Near-infrared diffuse reflectance spectrometry was a rapid and simple identification and analysis technology,and could be used for the quality control of rhubarb.