三七
太赫兹光谱与技术
化学
太赫兹辐射
鉴定(生物学)
高效液相色谱法
卷积神经网络
光谱学
人工智能
人工神经网络
色谱法
生物系统
模式识别(心理学)
计算机科学
物理
光电子学
植物
生物
医学
替代医学
病理
量子力学
作者
Hongyu Gu,Shengfeng Wang,Songyan Hu,Xu Wu,Qiuye Li,Rongrong Zhang,Juan Zhang,Wenbin Zhang,Yan Peng
出处
期刊:Talanta
[Elsevier BV]
日期:2024-03-31
卷期号:274: 125968-125968
被引量:5
标识
DOI:10.1016/j.talanta.2024.125968
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI