Evidence map›Paper›PMID 42506400›Full record

ArticleMetabolites2026

Comprehensive Phytochemical Characterization and Quality Evaluation of

Zhouwei Li, Hongfei Wei, Jiahui Wu, Qiyuan Yang, Jiemei Liang, Xiaoxun Wang, Li Li

Abstract read
In one paragraph

Article in Metabolites, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

7 authors.

Zhouwei LiSchool of Pharmacy, Guangxi University of Chinese Medicine, Nanning 530200, China.ORCID 0009-0008-8016-3892
Hongfei WeiSchool of Pharmacy, Guangxi University of Chinese Medicine, Nanning 530200, China.
Jiahui WuSchool of Pharmacy, Guangxi University of Chinese Medicine, Nanning 530200, China.
Qiyuan YangSchool of Pharmacy, Guangxi University of Chinese Medicine, Nanning 530200, China.ORCID 0009-0004-2134-7190
Jiemei LiangSchool of Pharmacy, Guangxi University of Chinese Medicine, Nanning 530200, China.
Xiaoxun WangSchool of Pharmacy, Guangxi University of Chinese Medicine, Nanning 530200, China.
Li LiSchool of Pharmacy, Guangxi University of Chinese Medicine, Nanning 530200, China.

Funding

Collaborative Innovation Center of Zhuang and Yao Ethnic Medicine 〔2013〕No. 20Guangxi First-Class Discipline: Chinese Medicine (Ethnic Pharmacy) [ 2018 ] No.12Guangxi Key Discipline of Traditional Chinese Medicine (Zhuang Ethnic Pharmacy) GZXK-Z-20-64Innovation Project of Guangxi Graduate Education Grant No. YCSY2025009Research Center of Guangxi Zhuang Autonomous Region Medicine Resources and application engineering 〔2020〕No. 2605The Capacity Building Project of Guangxi Key Laboratory of Zhuang and Yao Ethnic Medicine Guike LT2600640036the Guangxi Natural Science Foundation Grant No. 2024GXNSFBA010206the Innovation Training Program for University Students of Guangxi University of Chinese Medicine Grant No. X202410600113the Innovation Training Program for University Students of Science and New Medicine College, Guangxi University of Chinese Medicine Grant No. S202413643056University Engineering Research Center of Development and Industrialization of Zhuang and Yao Ethnic Medicinal Materials , Guangxi 〔2024〕No.10
6 · The paper itself

Abstract

BACKGROUND/

objectivesThis study aims to establish a systematic phytochemical characterization and quality evaluation method to systematically evaluate the influence of multiple factors on the chemical composition of

methodsTo ensure a targeted and representative metabolic screening, six representative batches covering the major geographical origins and host plants were selected for initial metabolomic profiling. An integrated analytical approach combining UPLC-MS/MS-based widely targeted metabolomics, HPLC fingerprinting, and multi-component quantitative analysis with multivariate statistical analysis was employed.

resultsSignificant quality variations were identified across the samples. Metabolomics results indicated that while chemical component types were qualitatively consistent across growth conditions, their contents varied significantly. Unique differential metabolites clustered according to specific geographical origins or host plants. KEGG pathway analysis revealed that geographical origin primarily regulated phenylpropanoid biosynthesis, whereas host differences mainly influenced flavonoid and monoterpenoid biosynthesis. Furthermore, HPLC fingerprinting of 20 batches demonstrated similarities greater than 0.9, with 15 common peaks determined. Based on their high relative abundance, differential significance across samples, and documented pharmacological relevance to the herb's traditional efficacy, six bioactive components-gallic acid, catechin, epicatechin, hyperoside, isoquercitrin, and quercitrin-were identified and quantified. Notably, samples originating from Wuzhou exhibited the highest total content of these components. Consistent with PCA and HCA results, gallic acid, hyperoside, isoquercitrin, and quercitrin were identified as potential markers driving quality differences.

conclusionsThis integrated approach allows for a systematic analytical screening of

Indexed as

fingerprintingmulti-component quantificationquality evaluationTaxillus chinensiswidely targeted metabolomics

Identifiers

PMID42506400
PMCPMC13414450

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.