Evidence map›Paper›PMID 42138468›Full record

ArticleChemistry & biodiversity2026

β-Caryophyllene-Rich Mercurialis perennis Leaf Essential Oil: GC-MS Profiling, Antioxidant Activity, Molecular Docking, and Molecular Dynamics Analysis.

Chika Attama, Jean Noël Nyemb, Lawrence Luka, Herve Landry Ketsemen, Marcello Iriti, Segun Gabriel Olanipekun

Abstract read
In one paragraph

Article in Chemistry & biodiversity, 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
–field-weighted citation impact
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

6 authors.

Chika AttamaDepartment of Chemistry, Adamawa State University, Mubi, Adamawa, Nigeria.
Jean Noël NyembDepartment of Refining and Petrochemistry, National Advanced School of Mines and Petroleum Industries, University of Maroua, Maroua, Cameroon.ORCID https://orcid.org/0000-0001-5069-6737
Lawrence LukaDepartment of Chemistry, Adamawa State College of Education, Hong, Adamawa, Nigeria.
Herve Landry KetsemenDepartment of Organic Chemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon.ORCID https://orcid.org/0009-0007-1874-690X
Marcello IritiDepartment of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy.ORCID https://orcid.org/0000-0002-5063-1236
Segun Gabriel OlanipekunDepartment of Biochemistry, Federal University of Technology, Minna, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mercurialis perennis L. (Euphorbiaceae) is an underexplored perennial herb traditionally used in complementary medicine. This study provides a comprehensive investigation of its leaf essential oil, integrating chemical profiling, in vitro antioxidant evaluation, and computational analyses. The essential oil was obtained by steam distillation and analyzed using gas chromatography-mass spectrometry (GC-MS), leading to the identification of 31 compounds, predominantly sesquiterpene hydrocarbons, with β-caryophyllene (58.14%) and γ-muurolene (7.80%) as major constituents. The antioxidant activity was assessed using DPPH and hydrogen peroxide scavenging assays, yielding IC

Indexed as

AntioxidantsEuphorbiaceaeMolecular Docking SimulationMolecular Dynamics SimulationOils, VolatilePolycyclic SesquiterpenesBiphenyl CompoundsGas Chromatography-Mass SpectrometryHydrogen PeroxidePicratesPlant LeavesAntioxidantsBiphenyl CompoundscaryophylleneHydrogen PeroxideOils, VolatilePicratesPolycyclic Sesquiterpenesantioxidant activityessential oilGC–MSMercurialis perennismolecular dockingmolecular dynamics simulation

Identifiers

PMID42138468
PMCPMC13178399

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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.