(), 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 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 origin, providing a practical reference for herbal medicine.

中文翻译：

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利用太赫兹精密光谱和神经网络算法鉴定三七产地

（）是一种中药材，含有多种皂苷，在药物开发中有益于免疫系统，来自文山（正宗种植）的产品经常被其他人仿冒，需求量大，供应有限。在这里，我们提出了一种结合太赫兹（THz）精密光谱和神经网络的起源识别方法。在对四种定性鉴别方法的比较分析的基础上，我们选择了高效液相色谱法（HPLC）和太赫兹光谱法对来自5个产地的252个样品进行了检测。使用卷积神经网络（CNN）模型进行分类后，我们发现太赫兹光谱的性能优于高效液相色谱法。其根本机制是太赫兹光谱由于宽光谱和多参数特性，与原点之间存在明显的非线性关系，使得五级原点识别的准确率高达97.62%。该研究实现了快速、无损、准确的产地鉴定，为中草药提供了实用参考。