Development and challenges of mass spectrometry database for traditional Chinese medicine: A review

Accurate characterization of the chemical composition of complex traditional Chinese medicine (TCM) is an essential foundation for the modern scientific interpretation of TCM principles. Mass spectrometry is the most dominant technique in current research on the material basis of TCM, offering the highest sensitivity and the richest information provision. Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components. This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure, PubMed, and Web of Science, using “mass spectrometry database” and “traditional Chinese medicine” as keywords. It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases. The key advancements of these mass spectrometry databases for natural products are summarized, detailing their characteristics, search methodologies, included information, and data sources. Additionally, challenges related to data quality, standardization, timely updates, database interaction, retrieval functionality, and data sharing and security are discussed in depth. Furthermore, the paper explores prospective development directions for TCM mass spectrometry databases, emphasizing the importance of open data sharing, technological innovation, and data security. Through this analysis, the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components, as well as for the construction and application of these databases.

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Publication Details

Journal
Science of Traditional Chinese Medicine
Published
2025-09-01
DOI
https://doi.org/10.1097/st9.0000000000000082
Citations
1
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.81
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article

Development and challenges of mass spectrometry database for traditional Chinese medicine: A review

Jason Wu, Zi‐Dong Qiu, Zhiming Yang, Xiang Li et al.
1 citations
Science of Traditional Chinese Medicine
Metabolomics and Mass Spectrometry Studies
0.81
article

Development and challenges of mass spectrometry database for traditional Chinese medicine: A review

Jason Wu, Zi‐Dong Qiu, Zhiming Yang, Xiang Li, Yijun Wang, Xiaoli Ma, Liping Kang, Li Zhou, Baiping Ma
article en
1 citations

Abstract

Accurate characterization of the chemical composition of complex traditional Chinese medicine (TCM) is an essential foundation for the modern scientific interpretation of TCM principles. Mass spectrometry is the most dominant technique in current research on the material basis of TCM, offering the highest sensitivity and the richest information provision. Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components. This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure, PubMed, and Web of Science, using “mass spectrometry database” and “traditional Chinese medicine” as keywords. It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases. The key advancements of these mass spectrometry databases for natural products are summarized, detailing their characteristics, search methodologies, included information, and data sources. Additionally, challenges related to data quality, standardization, timely updates, database interaction, retrieval functionality, and data sharing and security are discussed in depth. Furthermore, the paper explores prospective development directions for TCM mass spectrometry databases, emphasizing the importance of open data sharing, technological innovation, and data security. Through this analysis, the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components, as well as for the construction and application of these databases.

Science of Traditional Chinese MedicineVol. 3(3)
Tianjin University of Traditional Chinese Medicine (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Beijing Radiation Center (CN)
Openalex Percentile: Top 24%
Metabolomics and Mass Spectrometry Studies
0.81
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