Abstract：
Panax notoginseng (P. notoginseng), a Chinese herb containing various saponins, benefits immune system in medicines development, which from Wenshan (authentic cultivation) is often counterfeited by others for large demand and limited supply. Here, we proposed a method for identifying P. notoginseng origin combining terahertz (THz) precision spectroscopy and neural network. Based on the comparative analysis of four qualitative identification methods, we chose high-performance liquid chromatography (HPLC) and THz spectroscopy to detect 252 samples from five origins. After classifications using Convolutional Neural Networks (CNNs) model, we found that the performance of THz spectra was superior to that of HPLC. The underlying mechanism is that there are clear nonlinear relations among the THz spectra and the origins due to the wide spectra and multi-parameter characteristics, which makes the accuracy of five-classification origin identification up to 97.62%. This study realizes the rapid, non-destructive and accurate identification of P. notoginseng origin, providing a practical reference for herbal medicine.
摘要：
三七(P.三七)，一种含有各种皂苷的中草药，在药物开发中有益于免疫系统，文山（正宗种植）经常被他人伪造，以满足大量需求和有限的供应。这里,提出了一种结合太赫兹(THz)精密光谱和神经网络的三七产地识别方法。在对四种定性鉴定方法进行比较分析的基础上,我们选择了高效液相色谱（HPLC）和太赫兹光谱来检测来自五个来源的252个样品。在使用卷积神经网络(CNN)模型进行分类后，我们发现THz光谱的性能优于HPLC。其潜在的机理是由于太赫兹光谱的宽光谱和多参数特性,这使得五分类来源识别的准确率达到97.62%。这项研究实现了快速，三七产地的无损准确鉴定,为中草药提供实践参考。
