Evidence map›Paper›PMID 41299965›Full record

ReviewFoods (Basel, Switzerland)2025

Advances of MXene in Detection and Sterilization of Foodborne Pathogens.

Wenjie Gao, Han Yan, Rui Wang, Wei Wu, Qinzhi Wang

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Wenjie GaoCollege of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China.
Han YanCollege of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China.
Rui WangCollege of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China.
Wei WuCollege of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China.ORCID 0000-0002-1772-3841
Qinzhi WangCollege of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China.

Funding

National Natural Science Foundation of China No. 32302213Natural Science Foundation of Shandong Province ZR2023QC027
6 · The paper itself

Abstract

MXene, owing to its high electrical conductivity, large specific surface area, and abundant surface functional groups, has been widely applied in the detection of foodborne pathogens. Therefore, it is necessary to review recent developments in the emerging material MXene for the detection and killing of foodborne pathogens, which is expected to facilitate the further development and utilization of MXene. This work comprehensively reviews advances in MXene applications for detecting and killing foodborne pathogens. Firstly, applications of MXene in electrochemical sensors, surface-enhanced Raman scattering (SERS), fluorescence platforms, and fluorescence-electrochemical dual-mode sensing systems are introduced. Subsequently, the sterilization mechanisms of MXene are described, followed by a detailed explanation of its practical applications in active food packaging, surface modification of food processing equipment, and instant sterilization techniques. Finally, conclusions, challenges, and future prospects in the area of MXene for the detection and killing of foodborne pathogens are discussed in depth. Significantly, this review uniquely summarizes applications of MXene in the detection and sterilization of foodborne pathogens, offering new perspectives on its use in food safety.

Indexed as

detectionfoodborne pathogensMXenesterilization

Identifiers

PMID41299965
PMCPMC12650815

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.