Evidence map›Paper›PMID 42840590›Full record

ArticleInternational journal of analytical chemistry2026

The Analysis of Fennel (

Nier Wu, Junni Qi, XinXin Jin, Chula Sa, Yan Zhang

Abstract read
In one paragraph

Article in International journal of analytical chemistry, 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
0cells of the map it votes in
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

5 authors.

Nier WuCollege of Mongolian Medicine Inner Mongolian Medical University 010110 Hohhot China immu.edu.cn.ORCID https://orcid.org/0009-0001-2142-5804
Junni QiCollege of Mongolian Medicine Inner Mongolian Medical University 010110 Hohhot China immu.edu.cn.ORCID https://orcid.org/0009-0008-9977-8504
XinXin JinCollege of Mongolian Medicine Inner Mongolian Medical University 010110 Hohhot China immu.edu.cn.
Chula SaCollege of Mongolian Medicine Inner Mongolian Medical University 010110 Hohhot China immu.edu.cn.ORCID https://orcid.org/0000-0001-6006-9446
Yan ZhangDepartment of Rehabilitation Affiliated Hospital of Inner Mongolia Medical University Inner Mongolia Medical University 010050 Hohhot China immu.edu.cn.ORCID https://orcid.org/0009-0004-9185-469X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fennel ( Objective: This study aimed to comprehensively identify and analyze the chemical composition of both polar and nonpolar fractions of fennel, specifically its aqueous extracts and volatile oils. Methods: Polar metabolites, including phenolic acids, flavonoids, and coumarins, were profiled using ultra-performance liquid chromatography coupled with quadrupole-Orbitrap high-resolution mass spectrometry (UPLC-Q-Exactive-plus-Orbitrap-MS), while gas chromatography-tandem mass spectrometry (GC-MS/MS) was employed for the analysis of volatile constituents. Results: A total of 87 compounds were identified in the fennel aqueous extract, including 10 flavonoids, 11 phenolic acids, 3 coumarins, 1 stilbene, 14 alkaloids, 13 organic acids, 7 fatty acids, 10 amino acids, 6 nucleosides, 2 glycosides, 3 terpenoids, and 6 other components (containing 1 sugar alcohol). In addition, 13 compounds were identified in the fennel volatile oil using n-hexane and ethyl acetate as solvents, comprising 11 monoterpenes and 2 phenylpropanoids. Conclusion: These findings expand our understanding of the chemical composition of fennel and provide a foundation for elucidating its pharmacodynamic properties.

Indexed as

aqueous extractchemical compositionFoeniculum vulgare Mill.GC-MS/MSUPLC-Q-Exactive-plus-Orbitrap-MSvolatile oil

Identifiers

PMID42840590
PMCPMC13640047

What OpenQuestion holds

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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.