Related Experiment Video
Updated: Jun 29, 2025

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
Published on: October 20, 2023
Identification of Panax notoginseng origin using terahertz precision spectroscopy and neural network algorithm
Hongyu Gu1, Shengfeng Wang1, Songyan Hu1
1University of Shanghai for Science and Technology, Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Shanghai Institute of Intelligent Science and Technology, Shanghai, 200093, China.
Authentic Panax notoginseng origin identification is crucial. Terahertz (THz) spectroscopy combined with neural networks offers a rapid, non-destructive method, outperforming traditional HPLC for accurate herbal medicine authentication.
Area of Science:
- Pharmacognosy
- Analytical Chemistry
- Spectroscopy
Background:
- Panax notoginseng (P. notoginseng) is a valuable Chinese herb used in traditional medicine.
- The high demand for authentic P. notoginseng from Wenshan often leads to counterfeiting.
- Accurate origin identification is essential for ensuring the efficacy and safety of P. notoginseng in medicinal applications.
Purpose of the Study:
- To develop and validate a novel method for identifying the geographical origin of P. notoginseng.
- To compare the effectiveness of terahertz (THz) spectroscopy with high-performance liquid chromatography (HPLC) for P. notoginseng origin authentication.
Main Methods:
- Terahertz (THz) precision spectroscopy and high-performance liquid chromatography (HPLC) were employed to analyze 252 P. notoginseng samples from five distinct origins.
- Convolutional Neural Networks (CNNs) were utilized for classification and origin identification based on spectral data.
- Comparative analysis of four qualitative identification methods was performed to select the most suitable techniques.
Main Results:
- Terahertz (THz) spectroscopy demonstrated superior performance compared to HPLC in identifying P. notoginseng origins.
- The CNN model achieved a high accuracy of 97.62% for classifying P. notoginseng into five different origins using THz spectra.
- Nonlinear relationships between THz spectral characteristics and sample origins were identified as key to the method's effectiveness.
Conclusions:
- Terahertz (THz) spectroscopy combined with neural network analysis provides a rapid, non-destructive, and accurate method for P. notoginseng origin identification.
- This approach offers a practical and reliable reference for the authentication of herbal medicines.
- The study highlights the potential of THz spectroscopy in combating the counterfeiting of valuable medicinal herbs.

