Home Journals Articles Updates About
CN
image
收藏切换
Research Progress of Mass Spectrometry Imaging Technology in Quality Identification and Biosynthesis Pathway of Chinese Medicinal Materials
收藏切换
Yanchang HUANG, Che BIAN, Yanyun YANG, Tingguo KANG, Liang XU
Chinese Archives of Traditional Chinese Medicine | 2025, 43(5) : 124 - 128
Less
收藏切换
Chinese Archives of Traditional Chinese Medicine | 2025, 43(5): 124-128
• Target on National Project •
Research Progress of Mass Spectrometry Imaging Technology in Quality Identification and Biosynthesis Pathway of Chinese Medicinal Materials
Full
Yanchang HUANG, Che BIAN, Yanyun YANG, Tingguo KANG, Liang XU
Affiliations
  • College of Pharmacy，Liaoning University of Traditional Chinese Medicine，Dalian 116600，Liaoning，China
Published: 2025-05-10 doi: 10.13193/j.issn.1673-7717.2025.05.025
Outline
收藏切换

Mass spectrometry imaging technology is a combination of mass spectrometry and imaging technology，which converts mass spectrometry signals into visualized images with spatial distribution characteristics through imaging software. In recent years，mass spectrometry imaging technology has been widely used for the analysis of plant tissue metabolites，providing new ideas and methods for the research of traditional Chinese medicinal plants. This article provided a review in three parts. Firstly，it reviewed matrix assisted laser ionization desorption mass spectrometry imaging（MADLI）technology，secondary ion mass spectrometry imaging（SIMS）technology，Desorption Electrospray Ionization Mass Spectrometry Imaging（DESI）technology and the principle of nanostructure induced mass spectrometry imaging technology were summarized. Secondly，the application examples of mass spectrometry imaging technology in the visualization analysis and identification of metabolites in traditional Chinese medicinal plants as well as the biosynthesis pathways of active ingredients were reviewed. Finally，the advantages and limitations of mass spectrometry imaging technology were summarized，and further prospects were made for the application of mass spectrometry imaging technology in traditional Chinese medicinal plants.

mass spectrometry imaging  /  matrix assisted laser ionization desorption adsorption  /  medicinal plants  /  quality determination  /  niosynthetic pathways
黄彦昌, 边澈, 杨燕云, 康廷国, 许亮. 质谱成像技术在中药材质量鉴定和生物合成途径研究进展. 中华中医药学刊, 2025 , 43 (5) : 124 -128 . DOI: 10.13193/j.issn.1673-7717.2025.05.025
Yanchang HUANG, Che BIAN, Yanyun YANG, Tingguo KANG, Liang XU. Research Progress of Mass Spectrometry Imaging Technology in Quality Identification and Biosynthesis Pathway of Chinese Medicinal Materials[J]. Chinese Archives of Traditional Chinese Medicine, 2025 , 43 (5) : 124 -128 . DOI: 10.13193/j.issn.1673-7717.2025.05.025
Appendix
Less
Year 2025 volume 43 Issue 5
36
16
Cite this Article
BibTeX
Article Info
doi: 10.13193/j.issn.1673-7717.2025.05.025
  • Online Date：2026-10-30
  • Published：2025-05-10
Article Data
Affiliations
History
Funding
Affiliations
    College of Pharmacy，Liaoning University of Traditional Chinese Medicine，Dalian 116600，Liaoning，China
References
Share
https://castjournals.cast.org.cn/joweb/zhzyyxk/EN/10.13193/j.issn.1673-7717.2025.05.025
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House