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《Journal of West Anhui University》 2017-05
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Study on the Identify Species from Stem of Dendrobium Henan and Dendrobium Huoshanense Using Fourier Transform Infrared Spectroscopy Combined with Uninformative Variable Elimination

LIANG Mengxing;DAI Jun;HAN Bangxing;CHEN Cunwu;CHEN Naifu;XIONG Meng;JIANG Mingzhu;YAN Hui;School of Biotechnology,Jiangsu University of Science and Technology;School of Biotechnology and Pharmaceutical Engineering,West Anhui University;Collaborative Innovation Center of Anhui Dendrobium Industrial Development;  
We collected spectra of dendrobium at the stem near root by Fourier transform infrared spectroscopy(FT-IR)with attenuated total reflection(ATR).The raw spectra were preprocessed by standard normal variate(SNV)and mean center(MNCN),using partial least squares discriminant analysis(PLSDA)to build model.Results demonstrated that the prediction precision of model built with full wavelength variables was good,the forecast recognition rate in calibration set,cross validation for calibration set and prediction set were 96.25%,92.69% and 91.82% respectively.After wavelength variables optimized by UVE,forecast recognition rate in calibration set,cross validation for calibration set and prediction set were improved to 99.28%,95.72% and 95.02% respectively.
【Fund】: 安徽省教育厅重点项目“基于近红外光谱技术的石斛类药材快速无损识别研究”(KJ2014A279);; 安徽省石斛产业化开发协同创新中心计划
【CateGory Index】: O657.33;R284.1
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