Evidence map›Paper›PMID 40278410›Full record

ArticleMetabolites2025

Quality Evaluation of the Traditional Chinese Medicine Moutan Cortex Based on UPLC Fingerprinting and Chemometrics Analysis.

Wentao Fang, Qianqian Song, Han Luo, Rui Wang, Chengwu Fang

Abstract read
In one paragraph

Article in Metabolites, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Wentao FangSchool of Pharmacy, Anhui University of Chinese Medicine, Hefei 230012, China.
Qianqian SongSchool of Pharmacy, Anhui University of Chinese Medicine, Hefei 230012, China.
Han LuoSchool of Pharmacy, Anhui University of Chinese Medicine, Hefei 230012, China.
Rui WangSchool of Pharmacy, Anhui University of Chinese Medicine, Hefei 230012, China.
Chengwu FangSchool of Pharmacy, Anhui University of Chinese Medicine, Hefei 230012, China.

Funding

the Anhui Dabie Mountain Area and Southern Anhui Mountain Area Traditional Chinese Medicine Resources RD19100054the Chinese Medicine Standardization Project of the State Administration of Traditional Chinese Medicine ZYBZH-Y-AH-05the National Key Research and Development Program for The Modernization of Traditional Chinese Medicine 2018YFC1707004
6 · The paper itself

Abstract

backgroundThis study aims to develop a fingerprint analysis method using ultra-high performance liquid chromatography (UPLC) for Moutan Cortex sourced from different regions. The objective is to establish quality control standards validated through the integration of chemometric methods and component structure theory.

methodsThe mobile phase for UPLC consisted of acetonitrile (A) and a 0.1% aqueous formic acid solution (B), with gradient elution set as follows: 0-1 min, 8% A → 15% A; 1-8 min, 15% A → 18% A; 8-10 min, 18% A → 30% A; 10-15 min, 30% A → 35% A; 15-20 min, 35% A → 85% A; 20-21 min, 85% A → 8% A; and 21-26 min, 8% A → 8% A. Chemical markers significantly affecting Moutan Cortex from various regions were screened, and their identification was based on comparison with reference materials and content determination.

resultsA total of 15 chemical markers were identified, including gallic acid, oxypaeoniflorin, catechin, methyl gallate, paeonolide, apiopaeonoside, albiflorin, paeoniflorin, benzoic acid, 1,2,3,6-tetra-O-galloyl-D-glucose, 1,2,3,4,6-pentagalloylglucose, mudanpioside C, benzoyloxypaeoniflorin, benzoylpaeoniflorin, and paeonol. These markers align with component structure theory, allowing for an analysis of the structural characteristics of Moutan Cortex from different regions.

conclusionsThe findings provide a valuable reference for the future quality evaluation of traditional Chinese medicine preparations, enhancing the understanding of the material basis components in Moutan Cortex from diverse sources.

Indexed as

fingerprintingmoutan cortexPCAPLS-DAquality evaluation

Identifiers

PMID40278410
PMCPMC12029947

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