Evidence map›Paper›PMID 38928343›Full record

ReviewInternational journal of molecular sciences2024

Cold Atmospheric Pressure Plasma Solutions for Sustainable Food Packaging.

Azadeh Barjasteh, Neha Kaushik, Eun Ha Choi, Nagendra Kumar Kaushik

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

4 authors.

Azadeh BarjastehDepartment of Physics, Lorestan University, Khorramabad 68151-44316, Iran.ORCID 0000-0001-9758-8602
Neha KaushikDepartment of Biotechnology, College of Engineering, The University of Suwon, Hwaseong 18323, Republic of Korea.ORCID 0000-0001-8671-6779
Eun Ha ChoiDepartment of Electrical and Biological Physics, Plasma Bioscience Research Center, Kwangwoon University, Seoul 01897, Republic of Korea.ORCID 0000-0001-5385-1878
Nagendra Kumar KaushikDepartment of Electrical and Biological Physics, Plasma Bioscience Research Center, Kwangwoon University, Seoul 01897, Republic of Korea.ORCID 0000-0002-4965-5046

Funding

National Research Foundation of Korea 2021R1A6A1A03038785, 2021R1C1C1013875
6 · The paper itself

Abstract

Increasing the number of resistant bacteria resistant to treatment is one of the leading causes of death worldwide. These bacteria are created in wounds and injuries and can be transferred through hospital equipment. Various attempts have been made to treat these bacteria in recent years, such as using different drugs and new sterilization methods. However, some bacteria resist drugs, and other traditional methods cannot destroy them. In the meantime, various studies have shown that cold atmospheric plasma can kill these bacteria through different mechanisms, making cold plasma a promising tool to deactivate bacteria. This new technology can be effectively used in the food industry because it has the potential to inactivate microorganisms such as spores and microbial toxins and increase the wettability and printability of polymers to pack fresh and dried food. It can also increase the shelf life of food without leaving any residue or chemical effluent. This paper investigates cold plasma's potential, advantages, and disadvantages in the food industry and sterilization.

Indexed as

Food PackagingPlasma GasesAtmospheric PressureBacteriaFood PreservationSterilizationPlasma Gasesbacterial inactivationcold atmospheric plasmafood packagingsterilization

Identifiers

PMID38928343
PMCPMC11203612

What OpenQuestion holds

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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.