Evidence map›Paper›PMID 40837045›Full record

ReviewSmall science2025

Recent Advances in Flexible and Wearable Gas Sensors Harnessing the Potential of 2D Materials.

Azmira Jannat, Md Mehdi Masud Talukder, Zhong Li, Jian Zhen Ou

Abstract readReview
In one paragraph

Review in Small science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Sensitive and wafer-scale olfactory sensory neurons.Microsystems & nanoengineering · 2026
    Article
  3. Review
  4. Review
  5. Review
  6. 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.

Azmira JannatKey Laboratory of Advanced Technologies of Materials, Ministry of Education, School of Materials Science and Engineering Southwest Jiaotong University Chengdu 610031 China.ORCID https://orcid.org/0000-0002-8624-9178
Md Mehdi Masud TalukderSchool of Engineering RMIT University Melbourne Victoria 3000 Australia.
Zhong LiKey Laboratory of Advanced Technologies of Materials, Ministry of Education, School of Materials Science and Engineering Southwest Jiaotong University Chengdu 610031 China.
Jian Zhen OuKey Laboratory of Advanced Technologies of Materials, Ministry of Education, School of Materials Science and Engineering Southwest Jiaotong University Chengdu 610031 China.ORCID https://orcid.org/0000-0002-6971-2634

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the Internet of Things era, flexible and wearable gas sensors are increasingly vital for real-time monitoring in healthcare, environmental safety, and industrial security. These sensors detect hazardous gases at room temperature and seamlessly integrate with clothing and portable devices. The 2D materials, including transition metal dichalcogenides, black phosphorus, MXenes, graphene and its derivatives, and metal-organic frameworks, stand out due to their exceptional electrical, mechanical, and physicochemical properties, such as large surface areas, high carrier mobility, and intrinsic flexibility. This review summarizes recent advancements in designing, fabricating, and applying 2D-material-based flexible gas sensors. It highlights how engineering approaches like defect creation, composite formation, and surface functionalization significantly enhance sensor sensitivity, selectivity, and response times. Comparative performance data across various material families are presented, alongside effective strategies for integrating 2D materials onto diverse flexible substrates such as polymers, textiles, and paper, emphasizing durability under mechanical stress. The review critically addresses current challenges, including large-scale manufacturing, long-term stability, and interference from ambient humidity. Furthermore, it explores innovative solutions like self-healing sensors, artificial intelligence-driven sensor arrays, in situ surface passivation, and multisensor platforms coupled with machine learning algorithms, offering valuable insights for advancing next-generation wearable gas-sensing technologies.

Indexed as

2D materialsenvironmental monitoringflexible gas sensorshealthcare applicationshybrid materialsMXeneswearable gas sensors

Identifiers

PMID40837045
PMCPMC12362815

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.