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Journal of Traditional Chinese Medicine >

2024 , Vol. 44 >Issue 3: 505 - 514

DOI: https://doi.org/10.19852/j.cnki.jtcm.20240308.002

Original articles

Identifying the geographical origin and processing technology of Moyao (Myrrh) on the basis of near-infrared spectroscopy combined with chemometrics

  • Ningning XU ,
  • Ganming YAN ,
  • Fengjie XU ,
  • Linfeng DENG ,
  • Xinjiang QIAO ,
  • Changzheng LU ,
  • Shaomin CHENG
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  • 1 TCM Diagnosis Institute, College of Traditional Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang 330004, China
    2 TCM Processing Institute, Pharmaceutical College, Jiangxi University of Chinese medicine, Nanchang 330004, China
    3 School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an 710021, China
    4 Jiangzhong Pharmaceutical Co., Ltd., Nanchang 330096, China
    5 Jiangxi Guhan Refined Chinese Herbal Pieces Co., Ltd., Nanchang 330041, China

Received date: 2023-02-22

  Accepted date: 2023-05-18

  Online published: 2024-03-08

Supported by

Jiangxi Provincial Administration of Traditional Chinese Medicine Key Research Laboratory on the Fundamentals of Chinese Medicine Evidence(Gan TCM Science and Education Word [2022] No. 8-4);Jiangxi University of Chinese Medicine Science and Technology Innovation Team Development Program: Traditional Chinese Medicine Constitution-State Identification Health Management Research Team(CXTD22016)

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Abstract

OBJECTIVE: To evaluate the quality of Moyao (Myrrh) in the identification of the geographical origin and processing of the products.

METHODS: Raw Moyao (Myrrh) and two kinds of Moyao (Myrrh) processed with vinegar from three countries were identified using near-infrared (NIR) spectroscopy combined with chemometric techniques. Principal component analysis (PCA) was used to reduce the dimensionality of the data and visualize the clustering of samples from different categories. A classical chemometric algorithm (PLS-DA) and two machine learning algorithms [K-nearest neighbor (KNN) and support vector machine] were used to conduct a classification analysis of the near-infrared spectra of the Moyao (Myrrh) samples, and their discriminative performance was evaluated.

RESULTS: Based on the accuracy, precision, recall rate, and F1 value in each model, the results showed that the classical chemometric algorithm and the machine learning algorithm obtained positive results. In all of the chemometric analyses, the NIR spectrum of Moyao (Myrrh) preprocessed by standard normal variation or Multivariate scattering correction combined with KNN achieved the highest accuracy in identifying the geographical origins, and the accuracy of identifying the processing technology established by the KNN method after first-order derivative pretreatment was the best. The best accuracy of geographical origin discrimination and processing technology discrimination were 0.9853 and 0.9706 respectively.

CONCLUSIONS: NIR spectroscopy combined with chemometric technology can be an important tool for tracking the origin and processing technology of Moyao (Myrrh) and can also provide a reference for evaluations of its quality and the clinical use.

Key words： Moyao (Myrrh); near-infrared spectroscopy; geographical origin; processing technology

Cite this article

Ningning XU , Ganming YAN , Fengjie XU , Linfeng DENG , Xinjiang QIAO , Changzheng LU , Shaomin CHENG . Identifying the geographical origin and processing technology of Moyao (Myrrh) on the basis of near-infrared spectroscopy combined with chemometrics[J]. Journal of Traditional Chinese Medicine, 2024 , 44(3) : 505 -514 . DOI: 10.19852/j.cnki.jtcm.20240308.002

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