Evidence map›Paper›PMID 39767052›Full record

ReviewFoods (Basel, Switzerland)2024

An Innovative Food Processing Technology: Microwave Electrodeless Ultraviolet, Luminescence Mechanism, Microbial Inactivation, and Food Application.

Shuqi Chang, Zhaoyi Zhang, Qin Liu, Haixia Wu, Alideertu Dong

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2024. 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

5 authors.

Shuqi ChangCollege of Chemistry and Chemical Engineering, Inner Mongolia University, Hohhot 010021, China.
Zhaoyi ZhangCollege of Chemistry and Chemical Engineering, Inner Mongolia University, Hohhot 010021, China.
Qin LiuInner Mongolia Tailida Dairy Co., Ltd., Hohhot 010010, China.
Haixia WuCollege of Chemistry and Chemical Engineering, Inner Mongolia University, Hohhot 010021, China.ORCID 0000-0003-4919-788X
Alideertu DongCollege of Chemistry and Chemical Engineering, Inner Mongolia University, Hohhot 010021, China.

Funding

Open Project of National Center of Technology Innovation for Dairy 2022-Open Project-16Program for Innovative Research Team in Universities of Inner Mongolia Autonomous Region NMGIRT2210
6 · The paper itself

Abstract

Microwave electrodeless ultraviolet (MWUV) technology, as an emerging food processing technique, has garnered growing attention in the realm of food science in recent years. Based on different application requirements, MWUV equipment types are categorized as microwave oven reactor, continuous-flow UV-microwave reactor, coaxially driven MWUV reactor, and complete ultraviolet reactor. The luminescence properties of MWUV equipment depend on their filler gas; mercury is commonly used as a filler gas to produce a wavelength at 253.7 nm for food non-thermal sterilization. The microbial sterilization effect of MWUV is primarily attributed to the synergistic action of microwave and ultraviolet (UV): MWUV enhances reactive oxygen species (ROS) production, disrupts the cell membrane structures of bacteria, leads to bacterial endosome leakage, and induces nucleic acid damage. MWUV extends food shelf-life by eliminating microorganisms without significantly altering food quality compared with traditional thermal sterilization methods. Additionally, MWUV, combined with digestion reagents such as HNO

Indexed as

food digestionfood sterilizationmicrowave discharge electrodeless lamps (MDEL)microwave electrodeless ultraviolet (MWUV) sterilization technologysterilization mechanism

Identifiers

PMID39767052
PMCPMC11675193

What OpenQuestion holds

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LicenceCC BY
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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.