光谱学与光谱分析 |
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Absolutely Nondestructive Discrimination of Huoshan Dendrobium nobile Species with Miniature Near-Infrared (NIR) Spectrometer Engine |
HU Tian1,3, YANG Hai-long1,3, TANG Qing4, ZHANG Hui2, NIE Lei1, LI Lian1,3, WANG Jin-feng1,3, LIU Dong-ming1,3, JIANG Wei1,3, WANG Fei1,3, ZANG Heng-chang1,3* |
1. School of Pharmaceutical Sciences, Shangdong University, Ji’nan 250012, China 2. Beijing Kaiyuan Shengshi Science and Technology Development Co., Ltd., Ji’nan 250012, China 3. National Glycoengineering Research Center, Shandong University, Ji’nan 250012, China 4. Anhui University of Chinese Medicine, Hefei 230031, China |
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Abstract As one very precious traditional Chinese medicine (TCM), Huoshan Dendrobium has not only high price, but also significant pharmaceutical efficacy. However, different species of Huoshan Dendrobium exhibit considerable difference in pharmaceutical efficacy, so rapid and absolutely non-destructive discrimination of Huoshan Dendrobium nobile according to different species is crucial to quality control and pharmaceutical effect. In this study, as one type of miniature near-infrared (NIR) spectrometer, MicroNIR 1700 was used for absolutely nondestructive determination of NIR spectra of 90 batches of Dendrobium from five species of different commodity grades. The samples were intact and not smashed. Soft independent modeling of class analogy (SIMCA) pattern recognition based on principal component analysis (PCA) was used to classify and recognize different species of Dendrobium samples. The results indicated that the SIMCA qualitative models established with pretreatment method of standard normal variate transformation (SNV) in the spectra range selected by Qs method had 100% recognition rates and 100% rejection rates. This study demonstrated that a rapid and absolutely non-destructive analytical technique based on MicroNIR 1700 spectrometer was developed for successful discrimination of five different species of Huoshan Dendrobium with acceptable accuracy.
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Received: 2014-05-28
Accepted: 2014-07-30
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Corresponding Authors:
ZANG Heng-chang
E-mail: zanghcw@126.com
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