Evidence map›Paper›PMID 37086306›Full record

ArticleArchives of microbiology2023

Synergistic antimicrobial effect of nisin-octanoic acid nanoemulsions against E. coli and S. aureus.

Hui Guo, Wei Yang, Bingshuang Lei, Fengju Zhao, Lili Guo, Junqing Qian

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

6 authors at 1 institution in 1 country.

Hui GuoCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, People's Republic of China. tggh635@163.com.
Wei YangCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, People's Republic of China.
Bingshuang LeiCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, People's Republic of China.
Fengju ZhaoCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, People's Republic of China.
Lili GuoCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, People's Republic of China.
Junqing QianCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, People's Republic of China.
Zhejiang University of Technology · CN

Funding

Natural Science Foundation of Zhejiang Province No. LY16C020005
6 · The paper itself

Abstract

Food safety is a major public health concern all over the world. Therefore, the prevention of food contamination is becoming extremely crucial. In this study, an antimicrobial nanoemulsion composed of water-soluble nisin and fat-soluble octanoic acid was successfully prepared. The results showed that the average particle size and the polymer dispersity index of the nisin-octanoic acid (NOA) nanoemulsion were around 52.21 nm and 0.253, respectively. The NOA nanoemulsion required less amounts of nisin and octanoic acid to achieve the effective antimicrobial effect against Escherichia coli and Staphylococcus aureus. In addition, the growth curves of E. coli and S. aureus were determined. The OD

Indexed as

Anti-Infective AgentsMethicillin-Resistant Staphylococcus aureusNisinAnti-Bacterial AgentsCaprylatesEscherichia coliMicrobial Sensitivity TestsStaphylococcus aureusAnti-Bacterial AgentsAnti-Infective AgentsCaprylatesNisinoctanoic acidAntimicrobial propertyFatty acidNanoemulsionNisinOctanoic acid

Identifiers

PMID37086306
OpenAlexW4366742185

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.