Optimization of Litsea cubeba ethanol extract and its antibacterial mechanism against Staphylococcus aureus.

Mengyue Wei, Zihan Yu, Yunbin Zhang, Qianyu Wang, Yuan Wang, Xiaofei Zhou

Abstract read

In one paragraph

Article in Scientific reports, 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.

Mengyue WeiInstitute of Biomaterials and Biomedicine, School of Food and Pharmacy, Shanghai Zhongqiao Vocational and Technical University, Shanghai, 201514, China.

Zihan YuInstitute of Biomaterials and Biomedicine, School of Food and Pharmacy, Shanghai Zhongqiao Vocational and Technical University, Shanghai, 201514, China.

Yunbin ZhangShanghai Urban Construction Vocational College - School of Food and Tourism, Shanghai, 201415, China.

Qianyu WangInstitute of Biomaterials and Biomedicine, School of Food and Pharmacy, Shanghai Zhongqiao Vocational and Technical University, Shanghai, 201514, China.

Yuan WangInstitute of Biomaterials and Biomedicine, School of Food and Pharmacy, Shanghai Zhongqiao Vocational and Technical University, Shanghai, 201514, China.

Xiaofei ZhouInstitute of Biomaterials and Biomedicine, School of Food and Pharmacy, Shanghai Zhongqiao Vocational and Technical University, Shanghai, 201514, China. zhouxiaofei1001@163.com.

Funding

The Natural Science project of Shanghai Zhongqiao Vocational and Technical University ZQZR202581

6 · The paper itself

Abstract

This study optimized ultrasonic-assisted ethanol extraction of dried Litsea cubeba fruits using response surface methodology, identified chemical components by GC‑MS, and explored the antibacterial mechanism against Staphylococcus aureus. The optimal conditions were 60 °C, 60 min, and solid‑liquid ratio 1:25 g/mL, with an antibacterial rate of 83.42%. GC‑MS detected 20 compounds, dominated by lauric acid, oleic acid, and palmitic acid. The extract showed concentration‑dependent bactericidal activity with MIC 0.16 mg/mL and MBC 0.31 mg/mL. It disrupted bacterial cell wall and membrane integrity, causing leakage of AKP, nucleic acids, and proteins. This work supports L. cubeba as a natural antibacterial agent for food and pharmaceutical applications.

Indexed as

Anti-Bacterial AgentsEthanolLitseaPlant ExtractsStaphylococcus aureusCell MembraneCell WallGas Chromatography-Mass SpectrometryMicrobial Sensitivity TestsAnti-Bacterial AgentsEthanolPlant ExtractsAntibacterial mechanismCell membrane integrityGC‑MSLitsea cubebaResponse surface methodologyStaphylococcus aureus

Identifiers

PMID42304087

DOI10.1038/s41598-026-57694-w

PMCPMC13534667

What OpenQuestion holds

Textmetadata

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 OpenQuestion graph.