Mass spectrometry-based serum lipidomics strategy to explore the mechanism of Eleutherococcus senticosus (Rupr. & Maxim.) Maxim. leaves in the treatment of ischemic stroke

2021 ◽  
Author(s):  
Rongjin Wang ◽  
Shu Liu ◽  
Tianshu Liu ◽  
Jiajie Wu ◽  
Hongxu Zhang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Ischemic Stroke ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Eleutherococcus Senticosus ◽  
Neuroprotective Function

Eleutherococcus senticosus (Rupr. & Maxim.) Maxim. leaves (ESL) was reported to have neuroprotective function and also used to treat cranial and cerebral traumas as a traditional Chinese medicine and food...

scholarly journals The Applications and Obstacles of Metabonomics in Traditional Chinese Medicine

2012 ◽  
Vol 2012 ◽  
pp. 1-4 ◽  
Author(s):  
Ping Liu ◽  
Songlin Liu ◽  
Daizhi Tian ◽  
Ping Wang
Keyword(s):  
Mass Spectrometry ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Gas Chromatography Mass Spectrometry ◽  
Liquid Chromatography Mass Spectrometry ◽  
Analytical Technique ◽  
Chromatography Mass Spectrometry ◽  
Wide Range ◽  
Further Development ◽  
Analytical Technology

In the recent years, a wide range of metabonomic technologies are widely used in the modern research of traditional chinese medicine (TCM). At present, the most prevailing methods for TCM research are mainly nuclear magnetic resonance (NMR), gas chromatography-mass spectrometry (GC-MS), and liquid chromatography-mass spectrometry (LC-MS). With these techniques, metabonomics will help to understand syndromes, efficacy and toxicity of TCM. However, every analytical technique has its advantages and drawbacks, and there exist some obstacles of its applications on TCM. So, we discuss metabonomics in TCM and analyze some problems of its applications to study TCM in recent years. We believe that with the further development of metabonomic analytical technology, especially multianalysed techniques, metabonomics will greatly promote TCM research and be beneficial to the modernization of TCM.

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