Evidence map›Paper›PMID 40938059›Full record

ReviewNanomaterials (Basel, Switzerland)2025

Advancements and Strategies for Selectivity Enhancement in Chemiresistive Gas Sensors.

Jianwei Liu, Jingyun Sun, Lei Zhu, Jiaxin Zhang, Xiaomeng Yang, Yating Zhang, Wei Yan

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jianwei LiuSchool of Chemistry and Chemical Engineering, Xi'an University of Science & Technology, Xi'an 710054, China.
Jingyun SunSchool of Chemistry and Chemical Engineering, Xi'an University of Science & Technology, Xi'an 710054, China.
Lei ZhuXi'an Key Laboratory of Solid Waste Resource Regeneration and Recycling, State Key Laboratory of Multiphase Flow Engineering, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Jiaxin ZhangXi'an Key Laboratory of Solid Waste Resource Regeneration and Recycling, State Key Laboratory of Multiphase Flow Engineering, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Xiaomeng YangSchool of Chemistry and Chemical Engineering, Xi'an University of Science & Technology, Xi'an 710054, China.
Yating ZhangSchool of Chemistry and Chemical Engineering, Xi'an University of Science & Technology, Xi'an 710054, China.
Wei YanXi'an Key Laboratory of Solid Waste Resource Regeneration and Recycling, State Key Laboratory of Multiphase Flow Engineering, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China.

Funding

JianweiLiu 2023KJXX-125JianweiLiu 2024JC-YBQN-0539LeiZhu 2023BSHEDZZ30LeiZhu 2023M742788LeiZhu 52302198
6 · The paper itself

Abstract

Chemiresistive gas sensors are extensively employed in environmental monitoring, disease diagnostics, and industrial safety due to their high sensitivity, low cost, and miniaturization. However, the high cross-sensitivity and poor selectivity of gas sensors limit their practical applications in complex environmental detection. In particular, the mechanisms underlying the selective response of certain chemiresistive materials to specific gases are not yet fully understood. In this review, we systematically discuss material design strategies and system integration techniques for enhancing the selectivity and sensitivity of gas sensors. The focus of material design primarily on the modification and optimization of advanced functional materials, including semiconductor metal oxides (SMOs), metallic/alloy systems, conjugated polymers (CPs), and two-dimensional nanomaterials. This study offers a comprehensive investigation into the underlying mechanisms for enhancing the gas sensing performance through oxygen vacancy modulation, single-atom catalysis, and heterojunction engineering. Furthermore, we explore the potential of emerging technologies, such as bionics and artificial intelligence, to synergistically integrate with functional sensitive materials, thereby achieving a significant enhancement in the selectivity of gas sensors. This review concludes by offering recommendations aimed at improving the selectivity of gas sensors, along with suggesting potential avenues for future research and development.

Indexed as

artificial intelligencechemiresistive gas sensorsheterostructuresselectivitysemiconductor metal oxides

Identifiers

PMID40938059
PMCPMC12430070

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Registered trials

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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.