Identification of astragalus origin based on terahertz spectroscopy and machine learning

Lirong Liu; Jiahao Wang; Wenping Li; Yao Xu; Zhi Xiang Zhang; Kuan Zhou; Pingan Liu

doi:10.1117/12.3047928

13 December 2024 Identification of astragalus origin based on terahertz spectroscopy and machine learning

Lirong Liu, Jiahao Wang, Wenping Li, Yao Xu, Zhi Xiang Zhang, Kuan Zhou, Pingan Liu

Author Affiliations +

Proceedings Volume 13495, AOPC 2024: Terahertz Technology and Applications; 134950H (2024) https://doi.org/10.1117/12.3047928
Event: Applied Optics and Photonics China 2024 (AOPC2024), 2024, Beijing, China

Abstract

Astragalus is commonly used Chinese medicine materials, which has the effect of invigorating qi. Due to the different origin, the quality and efficacy of astragalus are different, which has an important impact on clinical application. This paper presented a new identification method of astragalus origin based on terahertz time-domain spectroscopy (THz-TDS) combined with machine learning. Five astragalus from Xinjiang, Shanxi, Inner Mongolia, Gansu and Qinghai were taken as the research objects. The terahertz spectral characteristics of astragalus from different producing areas were described, and the discriminant classification models were established by combining the absorption coefficient spectra in the range of 0.2~1.3THz with random forest (RF), backpropagation neural network (BPNN) and convolutional neural network (CNN). The results showed that CNN had the best prediction effect on astragalus origin, and the overall accuracy reached 95.2381%, indicating that terahertz time-domain spectroscopy combined with convolutional neural network model could be effectively used for automatic identification of astragalus origin, providing a new method reference for identification of Chinese herbal medicine origin.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lirong Liu, Jiahao Wang, Wenping Li, Yao Xu, Zhi Xiang Zhang, Kuan Zhou, and Pingan Liu "Identification of astragalus origin based on terahertz spectroscopy and machine learning", Proc. SPIE 13495, AOPC 2024: Terahertz Technology and Applications, 134950H (13 December 2024); https://doi.org/10.1117/12.3047928

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KEYWORDS

Absorption

Medicine

Terahertz radiation

Terahertz spectroscopy

Education and training

Machine learning

Data modeling

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