ArticleMolecules (Basel, Switzerland)2023
Quality Markers' Discovery and Quality Evaluation of Jigucao Capsule Using UPLC-MS/MS Method.
Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Article
- Profiling metabolites of Ficus natalensis hochst. fruit by UPLC-MS/MS and evaluation of anti-inflammatory activity.Scientific reports · 2026Article
- Active Components ofAntioxidants (Basel, Switzerland) · 2026Article
- Identification of quality markers and mechanisms of Anzi Tiaochong Fang in the treatment of antiphospholipid syndrome-related recurrent pregnancy loss: chemical analysis, network pharmacology, and in vitro approaches.BMC complementary medicine and therapies · 2025Article
- Application of multi-omics in the study of traditional Chinese medicine.Frontiers in pharmacology · 2024Review
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Authors and funding
11 authors.
Funding
Abstract
Jigucao capsules (JGCC) have the effects of soothing the liver and gallbladder and clearing heat and detoxification. It is a good medicine for treating acute and chronic hepatitis cholecystitis with damp heat of the liver and gallbladder. However, the existing quality standard of JGCC does not have content determination items, which is not conducive to quality control. In this study, serum pharmacochemistry technology and UNIFI data processing software were used to identify the blood prototype components and metabolites under the condition of the obvious drug effects of JGCC, and the referenced literature reports and the results from in vitro analysis of JGCC in the early stage revealed a total of 43 prototype blood components and 33 metabolites in JGCC. Quality markers (Q-markers) were discovered, such as abrine, trigonelline, hypaphorine and isoschaftoside. In addition, ultra-high-performance liquid chromatography-triple quadrupole mass spectrometry (UPLC-QQQ-MS) was used to determine the active ingredients in JGCC. The components of quantitative analysis have good correlation in the linear range with R
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