Identification and Analysis of Chemical Constituents and Rat Serum Metabolites in Using UPLC-Q-TOF/MS Combined with Multiple Data-Processing Approaches.

Clicks: 461
ID: 3982
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #1 of 32 articles by views in Evidence-based complementary and alternative medicine : eCAM

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
is a dry whole grass of Thunb.; it has been extensively used to anti-inflammatory, antioxidant, and antimicrobial actions and inhibits acetylcholinesterase activity. However, it lacks further compounds research of in and in . In this work, a rapid method was established using the ultra high performance liquid chromatography with quadrupole-time-of-flight mass spectrometry (UPLC-Q-TOF/MS) combined with multiple data-processing approaches for compounds analysis of in and in . Finally, 30 peaks were characterized in 75% ethanol extract of and 17 peaks were characterized in rat plasma that including 12 prototype compounds and 5 metabolites. Methylation and demethylation are the main transformation reactions of in rat serum. This work could be helpful for understanding the complex compounds of and further analyzing the pharmacological studies of active compounds.
Reference Key
li2019identificationevidencebased Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Li, Xin;Kang, Mingqin;Ma, Ningning;Pang, Tan;Zhang, Yanjun;Jin, Hua;Yang, Zhen;Song, Lili;
Journal Evidence-based complementary and alternative medicine : eCAM
Year 2019
DOI
10.1155/2019/5165029
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.