A holistic visualization for quality of Chinese materia medica: Structural and metabolic visualization by magnetic resonance imaging.
10.1016/j.jpha.2024.101019
- Author:
Jing WU
1
;
Kai ZHONG
2
;
Hongyi YANG
3
;
Peiliang ZHANG
1
;
Nianjun YU
1
;
Weidong CHEN
1
;
Na ZHANG
3
;
Shuangying GUI
1
;
Lan HAN
1
;
Daiyin PENG
1
Author Information
1. College of Pharmacy, Anhui University of Chinese Medicine, Hefei, 230012, China.
2. Department of Biomedical Engineering, Institute of Advanced Clinical Medicine, Peking University, Beijing, 100191, China.
3. Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230012, China.
- Publication Type:Review
- Keywords:
Chinese materia medica;
Magnetic resonance imaging;
Quality;
Structure and metabolites;
Visualization
- From:
Journal of Pharmaceutical Analysis
2024;14(11):101019-101019
- CountryChina
- Language:English
-
Abstract:
The quality of Chinese materia medica (CMM) is a challenging and focused topic in the modernization of traditional Chinese medicine (TCM). A profound comprehension of the morphology, structure, active constituents, and dynamic changes during the whole process of CMM growth is essential, which needs highly precise contemporary techniques for in-depth elucidation. Magnetic resonance imaging (MRI) is a cutting-edge tool integrating the benefits of both nuclear magnetic resonance (NMR) spectroscopy and imaging technology. With real-time, non-destructive, and in situ detection capabilities, MRI has been previously used for monitoring internal and external structures of plants alongside compounds during physiological processes in vivo. Here, factors involved in the holistic quality evaluation of CMMs were investigated. Given the applications of MRI in various plants, several representative CMMs were used as examples to demonstrate a methodology of quality visualization by MRI, embodying holistically monitoring the real-time macroscopic morphology, mesoscopic structure, and microscopic metabolites non-destructively in situ. Taken together, the review not only presents a pioneering application mode for utilizing MRI for CMM quality visualization but also holds promise for advancing the quality control and evaluation of CMMs.
