Evidence map›Paper›PMID 36010415›Full record

ReviewFoods (Basel, Switzerland)2022

Plant-Derived Antimicrobial Peptides: Novel Preservatives for the Food Industry.

Piyush Baindara, Santi M Mandal

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Food preservatives: natural or synthetic?Archives of microbiology · 2026
    Review
  7. Review
  8. Review
  9. Antimicrobial peptides in post-harvest management of fruits.Journal of food science and technology · 2025
    Review
  10. Association ofFoods (Basel, Switzerland) · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
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

2 authors.

Piyush BaindaraDepartments of Molecular Microbiology & Immunology, School of Medicine, University of Missouri, Columbia, MO 65211, USA.ORCID 0000-0001-5620-633X
Santi M MandalCentral Research Facility, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India.ORCID 0000-0002-0119-7138

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food spoilage is a widespread issue brought on by the undesired growth of microbes in food products. Thousands of tons of usable food or food products are wasted every day due to rotting in different parts of the world. Several food preservation techniques are employed to prevent food from rotting, including the use of natural or manufactured chemicals or substances; however, the issue persists. One strategy for halting food deterioration is the use of plant-derived antimicrobial peptides (AMPs), which have been investigated for possible bioactivities against a range of human, plant, and food pathogens. The food industry may be able to benefit from the development of synthetic AMPs, produced from plants that have higher bioactivity, better stability, and decreased cytotoxicity as a means of food preservation. In order to exploit plant-derived AMPs in various food preservation techniques, in this review, we also outline the difficulties in developing AMPs for use as commercial food preservatives. Nevertheless, as technology advances, it will soon be possible to fully explore the promise of plant-derived AMPs as food preservatives.

Indexed as

foodborne pathogensfood preservativesfood spoilagepeptide micellesplant antimicrobial peptides

Identifiers

PMID36010415
PMCPMC9407122

What OpenQuestion 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 OpenQuestion graph.