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Chemosensors
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Functional Nanomaterial-Based Gas Sensors and Humidity Sensors, 2nd Edition
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Functional Nanomaterial-Based Gas Sensors and Humidity Sensors, 2nd Edition

A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Materials for Chemical Sensing".

Deadline for manuscript submissions: 31 March 2027 | Viewed by 2133

Editor

Dr. Zaihua Duan

E-Mail Website
Guest Editor
School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China
Interests: sensitive functional materials; gas sensors; humidity sensors
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rapid development of information technology, sensors, as a source of information acquisition, play an irreplaceable role. Among them, sensors used for gas and humidity detection have received widespread attention in recent years due to their significant roles in industrial, agricultural, and atmospheric detection fields. In addition, gas sensors and humidity sensors have shown promising applications in the human body (showing exhaled gas composition, respiratory status, skin humidity, and acting as non-contact switches, and baby diaper detection).

Although gas sensors and humidity sensors have undergone significant progress, they still face many challenges; for example, their performance needs to be improved (including sensitivity, detection range, response speed, and stability). In addition to detecting environmental gases and humidity, their applications in the human body need further development. With the development of various functional nanomaterials, it is necessary to address the challenges faced by gas sensors and humidity sensors. This Special Issue of Chemosensors welcomes the submission of on recent research papers and review articles focusing on advanced gas sensors and humidity sensors, as well as their various applications to the environment and the human body.

Dr. Zaihua Duan
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Chemosensors is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • gas sensors
  • humidity sensors
  • flexible humidity sensors
  • functional nanomaterials
  • novel sensing materials
  • environment detections
  • non-invasive breath gas analysis
  • human-body-related humidity detection
  • wearable applications

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Related Special Issue

Published Papers (3 papers)

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Research

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15 pages, 3811 KB  
Article
SDRMixer: A Lightweight Dynamic Response Mixer for Deployable Mixed-Gas Quantification Using Sensor Arrays
by Jiahao Zhang, Zaihua Duan, Yuanming Wu, Zhen Yuan, Yadong Jiang and Huiling Tai
Chemosensors 2026, 14(7), 161; https://doi.org/10.3390/chemosensors14070161 - 13 Jul 2026
Abstract
Low-cost gas sensor arrays are attractive for mixed-gas monitoring, but deployment-oriented modeling remains challenging because mixed-gas responses are nonlinear, cross-sensitive, and strongly dependent on sensor dynamic states. Existing electronic-nose models often rely on handcrafted response descriptors or generic sequential networks, which may either [...] Read more.
Low-cost gas sensor arrays are attractive for mixed-gas monitoring, but deployment-oriented modeling remains challenging because mixed-gas responses are nonlinear, cross-sensitive, and strongly dependent on sensor dynamic states. Existing electronic-nose models often rely on handcrafted response descriptors or generic sequential networks, which may either compress transient response information or introduce unnecessary computational cost. This work proposes SDRMixer, a lightweight sensor-specific framework for mixed-gas concentration quantification. SDRMixer uses a parameter-free sparse dynamic response encoding to organize the original sensor response, baseline-referenced excitation, and smoothed response kinetics into a physically meaningful dynamic response field. A compact temporal-feature mixer is then applied over fixed response-stage tokens for simultaneous multi-gas regression. To improve calibration coverage, a response-consistent augmentation strategy is used during model training. The proposed framework is evaluated on a previously reported mixed-gas sensor array dataset containing NO2, NH3, CH4, and CO2 mixtures. Both augmentation-enriched calibration domain benchmarking and original-measurement-based validation are conducted to assess prediction performance, computational efficiency, and stability on measured calibration samples. The results show that SDRMixer provides a good trade-off between accuracy and efficiency compared with generic deep learning architectures and compact gas-sensing baselines. These findings indicate that explicit dynamic response encoding combined with lightweight temporal-feature mixing is an effective modeling strategy for compact mixed-gas quantification within the investigated calibration domain. Full article
(This article belongs to the Special Issue Functional Nanomaterial-Based Gas Sensors and Humidity Sensors, 2nd Edition)
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12 pages, 1254 KB  
Article
Investigation on the Mechanism of Enhanced Formaldehyde Gas-Sensing Performance of UiO-66 by Amino Modification
by Zijian Wu, Ying Chen, Ming Li, Pengcheng Xu and Xinxin Li
Chemosensors 2026, 14(4), 89; https://doi.org/10.3390/chemosensors14040089 - 3 Apr 2026
Viewed by 1717
Abstract
Detection of formaldehyde is of great significance for environmental monitoring and public health. Although amino-modified MOF nanomaterials have been widely adopted to improve the gas-sensing properties for hazardous gases, the fundamental enhancement mechanism is still insufficiently clarified, especially for formaldehyde-sensing material. In this [...] Read more.
Detection of formaldehyde is of great significance for environmental monitoring and public health. Although amino-modified MOF nanomaterials have been widely adopted to improve the gas-sensing properties for hazardous gases, the fundamental enhancement mechanism is still insufficiently clarified, especially for formaldehyde-sensing material. In this work, the adsorption enthalpies of formaldehyde on UiO-66 and UiO-66-NH2 were quantitatively extracted via MEMS variable-temperature adsorption experiments, yielding values of −21.8 and −45.9 kJ/mol, respectively. The results demonstrate that amino-modified UiO-66-NH2 enables reversible adsorption between physisorption and chemisorption, which is more favorable for gas-sensing applications. Furthermore, a formaldehyde sensor was fabricated based on a MEMS resonant microcantilever. Gas-sensing performance tests indicate that the UiO-66-NH2-based sensor displays a remarkable response to 0.5–10 ppm formaldehyde with a detection limit of 17 ppb and high selectivity. The significantly improved sensing performance experimentally validates the reasonability of the proposed mechanism. This work provides a reliable strategy for revealing the sensitivity enhancement mechanism and developing high-performance MOF-based formaldehyde sensors. Full article
(This article belongs to the Special Issue Functional Nanomaterial-Based Gas Sensors and Humidity Sensors, 2nd Edition)
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Review

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34 pages, 5970 KB  
Review
Functional 2D Nanomaterials Gas Sensor for Exhaled Breath Analysis: A Review
by Yuqing Zhang, Yanjie Wang, Kun Zhu, Zhiqiang Lan, Jie Wang, Jian He, Xiujian Chou and Yong Zhou
Chemosensors 2026, 14(7), 159; https://doi.org/10.3390/chemosensors14070159 - 12 Jul 2026
Abstract
Exhaled breath analysis has emerged as a promising non-invasive approach for disease diagnosis, leveraging gas sensors for their high sensitivity, portability, and real-time monitoring capabilities. Two-dimensional nanomaterials, such as graphene, transition metal dichalcogenides (TMDs), MXenes, black phosphorus, and metal–organic frameworks (MOFs), exhibit exceptional [...] Read more.
Exhaled breath analysis has emerged as a promising non-invasive approach for disease diagnosis, leveraging gas sensors for their high sensitivity, portability, and real-time monitoring capabilities. Two-dimensional nanomaterials, such as graphene, transition metal dichalcogenides (TMDs), MXenes, black phosphorus, and metal–organic frameworks (MOFs), exhibit exceptional gas-sensing properties due to their atomic-scale thickness, ultra-large specific surface area, and tunable electronic structures. These characteristics enable enhanced gas adsorption and room-temperature operation, making them ideal for detecting ppb-level biomarkers like acetone, ammonia, and nitric oxide in breath. However, sensors based on pristine 2D materials face challenges including slow response/recovery kinetics, poor stability, weak humidity resistance, and limited selectivity in complex breath environments. To address these limitations, functionalization strategies have been developed to engineer material properties. Key approaches include heteroatom doping to modulate electronic band structures, heterojunction construction to facilitate charge transfer and improve selectivity, and noble metal decoration for catalytic enhancement of gas adsorption. Additionally, light irradiation has been employed to regulate the carrier concentration on the surface of sensitive materials. These strategies significantly boost sensor performance, achieving ppb-level detection limits, robust humidity resistance, and rapid response. Future directions involve integrating functionalized 2D materials into wearable, multiplexed sensor arrays for simultaneous biomarker detection, coupled with machine learning for real-time diagnostic platforms. Full article
(This article belongs to the Special Issue Functional Nanomaterial-Based Gas Sensors and Humidity Sensors, 2nd Edition)
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