Original plant traceability of Dendrobium species using multi-spectroscopy fusion and mathematical models

文献类型： 外文期刊

第一作者： Wang, Ye

作者： Wang, Ye;Huang, Heng-Yu;Wang, Yuan-Zhong;Zuo, Zhi-Tian

作者机构：

关键词： Dendrobium; mid-infrared spectroscopy; near-infrared spectroscopy; chemometrics; authentication

期刊名称：ROYAL SOCIETY OPEN SCIENCE （ 影响因子：2.963； 五年影响因子：3.44 ）

ISSN： 2054-5703

年卷期： 2019 年 6 卷 5 期

页码：

收录情况： SCI

摘要： Dendrobium is the largest genus of orchids most of which have excellent medicinal properties. Fresh stems of some species have been consumed in daily life by Asians for thousands of years. However, there are differences in flavour and clinical efficacy among different species. Therefore, it is necessary for a detector to establish an effective and rapid method controlling botanical origins of these crude materials. In our study, three spectroscopies including mid-infrared (MIR) (transmission and reflection mode) and near-infrared (NIR) spectra were investigated for authentication of 12 Dendrobium species. Generally, two fusion strategies, reflection MIR and NIR spectra, were combined with three mathematical models (random forest, support vector machine with grid search (SVM-GS) and partial least-squares discrimination analysis (PLS-DA)) for discrimination analysis. In conclusion, a low-level fusion strategy comprising two spectra after pretreated by the second derivative and multiplicative scatter correction was recommended for discrimination analysis because of its excellent performance in three models. Compared with MIR spectra, NIR spectra were more responsible for the discrimination according to a bi-plot analysis of PLS-DA. Moreover, SVM-GS and PLSDA were suitable for accurate discrimination (100% accuracy rates) of calibration and validation sets. The protocol combined with low-level fusion strategy and chemometrics provides a rapid and effective reference for control of botanical origins in crude Dendrobium materials.

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