Evidence map›Paper›PMID 41590259›Full record

ReviewBiosensors2025

Polymer-Based Gas Sensors for Detection of Disease Biomarkers in Exhaled Breath.

Guangjie Shao, Yanjie Wang, Zhiqiang Lan, Jie Wang, Jian He, Xiujian Chou, Kun Zhu, Yong Zhou

Abstract readReview
In one paragraph

Review in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
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

8 authors.

Guangjie ShaoSchool of Future Science and Engineering, Soochow University, Suzhou 215222, China.
Yanjie WangSchool of Future Science and Engineering, Soochow University, Suzhou 215222, China.
Zhiqiang LanSchool of Future Science and Engineering, Soochow University, Suzhou 215222, China.ORCID 0000-0003-3288-8879
Jie WangSchool of Future Science and Engineering, Soochow University, Suzhou 215222, China.
Jian HeScience and Technology on Electronic Test and Measurement Laboratory, School of Instrument and Electronics, North University of China, Taiyuan 030051, China.ORCID 0000-0002-6353-4697
Xiujian ChouScience and Technology on Electronic Test and Measurement Laboratory, School of Instrument and Electronics, North University of China, Taiyuan 030051, China.
Kun ZhuSchool of Future Science and Engineering, Soochow University, Suzhou 215222, China.ORCID 0000-0001-6820-8981
Yong ZhouKey Laboratory of Optoelectronic Technology and Systems of Ministry of Education of China, Chongqing University, Chongqing 400044, China.ORCID 0000-0002-2925-3912

Funding

China Postdoctoral Science Foundation 2025M773617Fundamental and Frontier Research Project of Chongqing cstc2019jcyj-msxmX0037Jiangsu Funding Program for Excellent Postdoctoral Talent 2025ZB533
6 · The paper itself

Abstract

Exhaled breath analysis has gained considerable interest as a noninvasive diagnostic tool capable of detecting volatile organic compounds (VOCs) and inorganic gases that serve as biomarkers for various diseases. Polymer-based gas sensors have garnered significant attention due to their high sensitivity, room-temperature operation, excellent flexibility, and tunable chemical properties. This review comprehensively summarized recent advancements in polymer-based gas sensors for the detection of disease biomarkers in exhaled breath. The gas-sensing mechanism of polymers, along with novel gas-sensitive materials such as conductive polymers, polymer composites, and functionalized polymers was examined in detail. Moreover, key applications in diagnosing diseases, including asthma, chronic kidney disease, lung cancer, and diabetes, were highlighted through detecting specific biomarkers. Furthermore, current challenges related to sensor selectivity, stability, and interference from environmental humidity were discussed, and potential solutions were proposed. Future perspectives were offered on the development of next-generation polymer-based sensors, including the integration of machine learning for data analysis and the design of electronic-nose (e-nose) sensor arrays.

Indexed as

BiomarkersBiosensing TechniquesPolymersBreath TestsElectronic NoseGasesHumansVolatile Organic CompoundsBiomarkersGasesPolymersVolatile Organic Compoundsbiomarkerconductive polymersexhaled breathgas sensors

Identifiers

PMID41590259
PMCPMC12838661

What OpenQuestion holds

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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.