Study on Rapid Identification of Medicinal Plants of Paris Polyphylla from Different Origin Areas by NIR spectroscopy
ZHAO Yan-li1, ZHANG Ji1, YUAN Tian-jun2, SHEN Tao3, HOU Ying2, YANG Shi-hua2, LI Wei2, WANG Yuan-zhong1*, JIN Hang1*
1. Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming 650200, China 2. Yunnan Reascend Tobacco Technology (Group) Co. Ltd., Kunming 650106, China 3. College of Resources and Environment, Yuxi Normal University, Yuxi 653100, China
Abstract:Based on near infrared spectroscopy, seventy samples of wild medicinal plants of paris polyphylla from Guizhou, Guangxi and Yunnan Provinces were collected to identify their geographical origins. Multiplication signal correction (MSC), standard normal variate (SNV), first derivative (FD), second derivative (SD), savitzky-Golay filter (SG), and Norris derivative filter (ND) were conducted to optimize the original spectra of fifty samples of training set. The results showed that the method MSC combined with SD and ND presented the best results of spectra pretreatment. According to spectrum standard deviation, spectrum range (7 450~4 050 cm-1) was chosen and principal component analysis-mahalanobis distance (PCA-MD) method was used to build the model. Its first three principal components, i.e. cumulative contribution, determination coefficient (R2), root-mean-square error of calibration (RMSEC) and root-mean-square error of prediction (RMSEP) were 89.44%, 97.58%, 0.179 6 and 0.266 4, respectively, and the prediction accuracy is 90%. Furthermore, according to variable importance plot (VIP), spectrum range (7 135.33~4 007.35 cm-1) was chosen and partial least square discrimination analysis (PLS-DA) was applied to establish the model. Its first three principal components cumulative contribution, R2, RMSEC and RMSEP were 89.28%, 95.88%, 0.234 8 and 0.348 2, respectively, and the prediction accuracy is 100%. Comparing the two methods, we found that spectrum range chosen by VIP and model built by PLS-DA could provide greater accuracy in identifying paris polyphylla from different origin areas. The method supplied foundation for authenticity and quality evaluation of traditional Chinese medicine.
Key words:Paris polyphylla;NIR spectroscopy;Principal component analysis-mahalanobis distance;Partial least square discrimination analysis;Spectrum range selection
赵艳丽1,张 霁1,袁天军2,沈 涛3,侯 英2,杨式华2,李 伟2,王元忠1*,金 航1* . 近红外光谱快速鉴别不同产地药用植物重楼的方法研究 [J]. 光谱学与光谱分析, 2014, 34(07): 1831-1835.
ZHAO Yan-li1, ZHANG Ji1, YUAN Tian-jun2, SHEN Tao3, HOU Ying2, YANG Shi-hua2, LI Wei2, WANG Yuan-zhong1*, JIN Hang1* . Study on Rapid Identification of Medicinal Plants of Paris Polyphylla from Different Origin Areas by NIR spectroscopy . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(07): 1831-1835.
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