Evidence map›Paper›PMID 40276223›Full record

ArticleFrontiers in microbiology2025

Magnolia essential oil: a preliminary exploration of chemical composition and its antimicrobial and antioxidant potential.

Yingjie Liu, Ningling Han, Fanxin Meng

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Yingjie LiuCollege of Pharmacy and Food Science, Zhuhai College of Science and Technology, Zhuhai, China.
Ningling HanCollege of Pharmacy and Food Science, Zhuhai College of Science and Technology, Zhuhai, China.
Fanxin MengCollege of Pharmacy and Food Science, Zhuhai College of Science and Technology, Zhuhai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the chemical composition of Magnolia essential oil (MEO) was analyzed using gas chromatography-mass spectrometry (GC-MS). The results indicated that terpenoids were the primary constituents, with the main components being 1,8-cineole (44.87%), (+)-citronellal (6.93%), and linalool (29.1%). The antibacterial activity of MEO against four target bacteria was confirmed through inhibition zone assays, minimum inhibitory concentration (MIC), and minimum bactericidal concentration (MBC) tests. The bacterial growth curve demonstrated that MEO significantly inhibited bacterial growth and effectively delayed the logarithmic growth phase. Mechanistic studies suggested that MEO primarily acts in the initial stages of bacterial growth by disrupting the bacterial cell membrane, leading to substantial leakage of intracellular materials, impairing metabolic activities, inducing lipid peroxidation, and enhancing oxidative stress, thereby inhibiting normal bacterial proliferation. Furthermore, MEO's antioxidant properties were evaluated through its scavenging effects on DPPH and hydroxyl radicals, as well as its ferric reducing antioxidant power (FRAP). The findings revealed that MEO exhibited the strongest scavenging activity against DPPH radicals, followed by hydroxyl radical scavenging, with the FRAP results being comparatively weaker. These results suggest that MEO not only possesses potent antibacterial effects but also exhibits notable antioxidant activity, indicating potential for broader applications.

Indexed as

antibacterialantioxidantchemical compositionessential oilGC-MSmagnoliae flos

Identifiers

PMID40276223
PMCPMC12018430

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.