Progress in the application of hyperspectral imaging technology in quality detection and in the modernization of Chinese herbal medicines

Progress in the application of hyperspectral imaging technology in quality detection and in the modernization of Chinese herbal medicines

Hyperspectral imaging (HSI) technology integrates spectral analysis and image recognition with non-destructive and efficient advantages, and is widely used in the agriculture, geological exploration, military sectors, among others. Traditional Chinese medicine (TCM) has a long history of use in Chin...

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Bibliographic Details
Main Authors: Yuting You, Lei Zhang, Zhuo Yu, Daqing Zhao, Xueyuan Bai, Wei Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Chemistry
Subjects:
hyperspectral imaging
non-destructive
Chinese herbal medicine
quality evaluation
classification and identification
Online Access:https://www.frontiersin.org/articles/10.3389/fchem.2025.1620154/full
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Summary:Hyperspectral imaging (HSI) technology integrates spectral analysis and image recognition with non-destructive and efficient advantages, and is widely used in the agriculture, geological exploration, military sectors, among others. Traditional Chinese medicine (TCM) has a long history of use in China, and to ensure the quality of TCM herbs, it is necessary to perform accurate quality assessments. It is also crucial to evaluate the active ingredients and changes in cultivation strategies and processing parameters over time. The use of HSI technology for the investigation of Chinese medicines has grown in importance, and recent advances in HSI have enabled the multi-dimensional non-destructive analyses of various components, origins, and growth statuses, thereby providing innovative solutions for modernization. This paper systematically reviews the application of HSI for detecting active ingredients, evaluating their quality, and recognizing the authenticity and species of Chinese herbal medicines. It clearly describes the limitations of hyperspectral technology in terms of data processing, emphasizes the importance of textural information, and suggests the application of HSI for large-scale detection.
ISSN:2296-2646

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