JoVE - Journal of Visualized Experiments
JoVE Visualize
Contact Us

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

  • 0TCM Diagnosis Institute, College of Traditional Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang 330004, China.
Journal of Traditional Chinese Medicine = Chung I Tsa Chih Ying Wen Pan +

|

May 20, 2024

|

May 20, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Near-infrared (NIR) spectroscopy and chemometric techniques accurately identified the geographical origin and processing methods of Moyao (Myrrh). This method offers a reliable way to assess Moyao quality and guide its clinical applications.

Area Of Science

  • Analytical Chemistry
  • Chemometrics
  • Spectroscopy

Background

  • Moyao (Myrrh) quality is crucial for its efficacy and clinical use.
  • Traditional methods for identifying Moyao origin and processing are often insufficient.
  • Advanced analytical techniques are needed for reliable authentication.

Purpose Of The Study

  • To evaluate the effectiveness of near-infrared (NIR) spectroscopy combined with chemometric techniques for identifying the geographical origin of Moyao.
  • To assess the capability of these methods in distinguishing different processing techniques applied to Moyao.
  • To establish a reliable analytical framework for Moyao quality control.

Main Methods

  • Near-infrared (NIR) spectroscopy was employed to analyze raw and processed Moyao samples from various origins.
  • Chemometric techniques, including Principal Component Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA), K-nearest neighbor (KNN), and Support Vector Machine (SVM), were utilized.
  • Data preprocessing methods like Standard Normal Variation (SNV) and Multivariate Scattering Correction (MSC) were applied to spectral data.

Main Results

  • Both classical chemometric and machine learning algorithms demonstrated high performance in classification.
  • The combination of NIR spectroscopy with KNN, after SNV or MSC preprocessing, achieved the highest accuracy in geographical origin identification (0.9853).
  • KNN analysis, following first-order derivative preprocessing, provided the best accuracy for identifying processing technology (0.9706).

Conclusions

  • NIR spectroscopy coupled with chemometric analysis is a powerful tool for authenticating Moyao.
  • This approach enables accurate tracking of Moyao's geographical origin and processing history.
  • The findings provide a valuable reference for Moyao quality assessment and clinical application guidance.

Keywords: