Evidence map›Paper›PMID 40872423›Full record

ReviewMicromachines2025

Graphene-Based Gas Sensors: State-of-the-Art Developments for Gas Sensing Applications.

Aviraj M Teli, Sagar M Mane, Sonali A Beknalkar, Rajneesh Kumar Mishra, Wookhee Jeon, Jae Cheol Shin

Abstract readReview
In one paragraph

Review in Micromachines, 2025. 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. Article
  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

6 authors.

Aviraj M TeliDivision of Electronics and Electrical Engineering, Dongguk University-Seoul, Seoul 04620, Republic of Korea.ORCID 0000-0002-1740-105X
Sagar M ManeDepartment of Fiber System Engineering, Yeungnam University, 280 Dehak-Ro, Gyeongsan 38541, Gyeongbuk, Republic of Korea.ORCID 0000-0002-6087-6077
Sonali A BeknalkarDivision of Electronics and Electrical Engineering, Dongguk University-Seoul, Seoul 04620, Republic of Korea.
Rajneesh Kumar MishraDepartment of Physics, Yeungnam University, Gyeongsan 38541, Gyeongbuk, Republic of Korea.ORCID 0000-0001-9634-354X
Wookhee JeonDepartment of Semiconductor, Convergence Engineering, Sungkyunkwan University, Suwon 16419, Gyeonggi, Republic of Korea.
Jae Cheol ShinDivision of Electronics and Electrical Engineering, Dongguk University-Seoul, Seoul 04620, Republic of Korea.ORCID 0000-0002-5166-403X

Funding

Ministry of Trade, Industry & Energy (MOTIE, Korea) 1415187621Technology Innovation Program RS-2023-00235844
6 · The paper itself

Abstract

Gas sensors based on graphene have gained considerable attention because of graphene's remarkable properties, such as its extensive surface area, impressive electrical conductivity, and exceptional mechanical strength. This review critically analyzes recent developments in functionalization strategies designed to enhance the sensitivity, selectivity, and stability of graphene-based sensors. It discusses various chemical, physical, and hybrid functionalization methods, illustrating how surface alterations affect graphene's interaction with target gas molecules. The paper also investigates the fundamental sensing mechanisms, including charge transfer, carrier mobility modulation, and Schottky barrier modification, to provide a thorough understanding of sensor response characteristics. Additionally, it highlights emerging applications in environmental monitoring, healthcare diagnostics, and industrial safety, demonstrating the transformative potential of these sensors in real-world settings. Finally, the review addresses challenges concerning reproducibility, long-term stability, and large-scale production, while also offering future insights on utilizing innovative nanomaterials and artificial intelligence to advance the next generation of graphene-based gas sensing technologies.

Indexed as

environmental monitoringgas sensinggrapheneindustrial gas detectionselectivity enhancementsensor stability

Identifiers

PMID40872423
PMCPMC12388048

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.