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Chemosensors
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Chemical Sensors for Volatile Organic Compound Detection, 2nd Edition
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Chemical Sensors for Volatile Organic Compound Detection, 2nd Edition

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

Deadline for manuscript submissions: 31 December 2024 | Viewed by 6450

Special Issue Editors

Prof. Dr. Fanli Meng

E-Mail Website
Guest Editor
College of Information Science and Engineering, Northeatern University, Shenyang 110819, China
Interests: gas sensor; VOC detection
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Zhenyu Yuan

E-Mail Website
Guest Editor
College of information Science and Engineering, Northeatern University, Shenyang 110819, China
Interests: gas sensor; nanomaterials
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Dan Meng

E-Mail Website
Guest Editor
College of Chemical Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China
Interests: functional materials; gas sensor
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

After decades of research and development, chemical sensors based on metallic compounds and carbon have emerged as one of the primary research orientations for gas detection due to their several advantages. As detection needs increase, more nanomaterials with an innovative structure, outstanding performance, lower detection limits, and good stability are being investigated and practically applied as sensitive materials.

Volatile organic compounds (VOCs) are ubiquitous in multiple specific settings, such as confined spaces and chemical production processes. As a class of harmful compounds to humans, it is essential to achieve the superior detection of VOCs, particularly in terms of lower detection limits of sub-ppm and shorter response times. Furthermore, it will be remarkable if these sensors can be further miniaturized and applied in practical environmental monitoring.

This Special Issue, “Chemical Sensors for Volatile Organic Compound Detection, 2nd Edition”, seeks papers on chemical gas sensors for the effective detection of VOCs. Authors are invited to submit articles focused on selective enhancement, lower power consumption, a fast response, and other aspects. Papers on the characterization and evaluation of sensing performance or the completion of gas-sensitive mechanistic discussions of experimental phenomena will also be very well received.

Prof. Dr. Fanli Meng
Prof. Dr. Zhenyu Yuan
Prof. Dr. Dan Meng
Guest Editors

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 100 words) can be sent to the Editorial Office for announcement on this website.

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-blind 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 2700 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
  • volatile organic compounds
  • nanomaterials
  • metal oxide carbon-based sensors
  • novel sensing materials
  • leakage detection
  • low power consumption
  • sensitivity mechanism analysis

Related Special Issue

Published Papers (6 papers)

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Research

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15 pages, 1860 KiB  
Article
A High-Precision Monitoring Method Based on SVM Regression for Multivariate Quantitative Analysis of PID Response to VOC Signals
by Xiujuan Feng, Zengyuan Liu, Yongjun Ren and Chengliang Dong
Chemosensors 2024, 12(5), 74; https://doi.org/10.3390/chemosensors12050074 - 03 May 2024
Viewed by 207
Abstract
In the moist environment of soil-water-air, there is a problem of low accuracy in monitoring volatile organic compounds (VOCs) using a photoionization detector (PID). This study is based on the PID water-soil-gas VOC online monitor developed by this group, online monitoring of the [...] Read more.
In the moist environment of soil-water-air, there is a problem of low accuracy in monitoring volatile organic compounds (VOCs) using a photoionization detector (PID). This study is based on the PID water-soil-gas VOC online monitor developed by this group, online monitoring of the concentration of different constituents of VOCs in different production enterprises of the petroleum and chemical industries in Shandong Province, with the concentration of the laboratory test, to build a relevant model. The correlation coefficient about the PID test concentration and the actual concentration correlation coefficient was obtained through the collection of a large number of data trainings. Based on the application of PID in VOC monitoring, the establishment of a PID high-precision calibration model is important for the precise monitoring of VOCs. In this paper, multiple quantitative analyses were conducted, based on SVM regression of PID response to VOC signals, to study the high-precision VOC monitoring method. To select the response signals of PID under different concentrations of environmental VOCs measured by the research group, first, the PID response to VOC signals was modeled using the support vector machine principle to verify the effect of traditional SVM regression. For the problem of raw data redundancy, calculate the time-domain and frequency-domain characteristics of the PID signal, and conduct the principal component analysis of the time-domain of the PID signal. In order to make the SVM regression more generalized and robust, the selection of kernel function parameters and penalty factor of SVM is optimized by genetic algorithm. By comparing the accuracy of PID calibration models such as PID signal feature extraction, SVM regression, and principal component analysis SVM regression, the superiority of photoionization detector using the signal feature extraction PCA-GA-SVM method to monitor VOCs is verified. Full article
(This article belongs to the Special Issue Chemical Sensors for Volatile Organic Compound Detection, 2nd Edition)
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17 pages, 3354 KiB  
Article
Gas Sensing Performance of Zinc Oxide Nanoparticles Fabricated via Ochradenus baccatus Leaf
by Mohd Wajid Ali Khan, Nagih M. Shaalan, Faheem Ahmed, Subuhi Sherwani, Abdullah Aljaafari, Abdulmohsen K. D. Alsukaibi, Khalaf M. Alenezi and Khalid Al-Motair
Chemosensors 2024, 12(2), 28; https://doi.org/10.3390/chemosensors12020028 - 16 Feb 2024
Viewed by 1203
Abstract
ZnO nanoparticles (NPs) were prepared by green synthesis using plant leaf extraction of Ochradenus baccatus and characterized by XRD, FESEM, HRTEM, and Raman spectroscopy techniques. Since elevated CO levels have been associated with inflammatory conditions, cardiovascular diseases, and respiratory disorders and the methane [...] Read more.
ZnO nanoparticles (NPs) were prepared by green synthesis using plant leaf extraction of Ochradenus baccatus and characterized by XRD, FESEM, HRTEM, and Raman spectroscopy techniques. Since elevated CO levels have been associated with inflammatory conditions, cardiovascular diseases, and respiratory disorders and the methane gas primarily produced by gut microbiota and linked to gastrointestinal disorders and other abnormal methane levels in breath samples, the nanoparticles were applied for gas sensor fabrication. Thus, the gas sensors fabricated using ZnO nanoparticles were investigated for CH4, H2, CO, and NO2 gases. The gas sensing was performed for the fabricated sensors at various operating temperatures and gas concentrations. Interestingly, leaf-extracted green synthesized ZnO NPs were more sensitive to CH4, CO, and NO2 gases than to H2. The results of sensing studies revealed that the nanoparticles exhibit a selectivity toward gas depending on the gas type. The sensor response was also studied against the humidity. These findings bridge between the laboratory and industry sectors for future gas sensors development, which can be used for exhaled breath analysis and serve as potential diagnostic tools for highly sensitive contagious diseases. Full article
(This article belongs to the Special Issue Chemical Sensors for Volatile Organic Compound Detection, 2nd Edition)
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15 pages, 3151 KiB  
Article
Detection of Xylene Using Ni(OH)2-Enhanced Co3O4 Nanoplate via p–n Junctions
by Mengran Ran, Zhenyu Yuan, Hongmin Zhu, Hongliang Gao and Fanli Meng
Chemosensors 2023, 11(11), 568; https://doi.org/10.3390/chemosensors11110568 - 20 Nov 2023
Cited by 1 | Viewed by 1528
Abstract
This study reports a novel Ni(OH)2/Co3O4 heterostructured nanomaterial synthesized through a simple two-step hydrothermal method combined with subsequent heat treatment. The Ni(OH)2/Co3O4 heterostructured nanomaterial showed excellent performance in the detection of xylene gas. [...] Read more.
This study reports a novel Ni(OH)2/Co3O4 heterostructured nanomaterial synthesized through a simple two-step hydrothermal method combined with subsequent heat treatment. The Ni(OH)2/Co3O4 heterostructured nanomaterial showed excellent performance in the detection of xylene gas. XRD, SEM, and EDS characterized the crystal structure, microstructure, and composition elements of Co3O4 and Ni(OH)2/Co3O4, and the gas sensing properties of the Co3O4 sensor and Ni(OH)2/Co3O4 sensor were systematically tested. The test results indicate the Ni(OH)2/Co3O4 sensor has an optimal operating temperature of 175 °C, which is 10 °C lower than that of the Co3O4 sensor; has a response of 14.1 to 100 ppm xylene, which is 7-fold higher than that of the Co3O4 sensor; reduces the detection limit of xylene from 2 ppm to 100 ppb; and has at least a 4-fold higher response to xylene than other gases. The Ni(OH)2/Co3O4 nanocomposite exerts the excellent catalytic performance of two-dimensional nanomaterial Ni(OH)2, solves the deficiency in the electrical conductivity of Ni(OH)2 materials, and realizes the outstanding sensing performance of xylene, while the construction of the p–n heterojunction between Ni(OH)2 and Co3O4 also improves the sensing performance of the material. This study provides a strategy for designing high-performance xylene gas sensors using two-dimensional Ni(OH)2 materials. Full article
(This article belongs to the Special Issue Chemical Sensors for Volatile Organic Compound Detection, 2nd Edition)
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8 pages, 2190 KiB  
Communication
High-Performance MEMS Oxygen Sensors Based on Au/TiO2 Films
by Mingzhi Jiao, Xiaohu Zhao, Xinjian He, Gang Wang, Wei Zhang, Qian Rong and DucHoa Nguyen
Chemosensors 2023, 11(9), 476; https://doi.org/10.3390/chemosensors11090476 - 28 Aug 2023
Cited by 3 | Viewed by 1279
Abstract
High-performance microelectromechanical system (MEMS) oxygen sensors were realized by successful preparation of Au nanofilms over TiO2 thin films through successive sputtering on commercial MEMS microhotplates. Oxygen sensing performance of 3 and 6 nm thick Au over TiO2 thin films were compared [...] Read more.
High-performance microelectromechanical system (MEMS) oxygen sensors were realized by successful preparation of Au nanofilms over TiO2 thin films through successive sputtering on commercial MEMS microhotplates. Oxygen sensing performance of 3 and 6 nm thick Au over TiO2 thin films were compared with that of pure TiO2 thin films. It was shown that 6 nm thick Au over TiO2 thin films have the best sensitivity toward oxygen. The prepared TiO2 thin films were characterized using SEM, EDS, XPS, and a gas testing instrument. The results show that Au decoration has little influence on the surface morphologies of TiO2 thin films. However, Au decoration has a strong influence on the surface properties of the composite films. The favorable performance of 6 nm Au-doped TiO2 thin films is attributed to factors such as catalytical performance, height of Schottky contact, and number of oxygen vacancies. This work makes contributions to low power consumption and high-performance oxygen sensors for Internet of Things applications. Full article
(This article belongs to the Special Issue Chemical Sensors for Volatile Organic Compound Detection, 2nd Edition)
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15 pages, 7212 KiB  
Article
A Novel-Structure LC Resonant Passive Wireless Sensor for NO2 Sensing
by Zhiyang Liu, Yanbai Shen, Sikai Zhao, Jinzhou Bai, Ruixue Ma, Shuling Gao, Wengang Liu and Qiang Zhao
Chemosensors 2023, 11(7), 359; https://doi.org/10.3390/chemosensors11070359 - 25 Jun 2023
Viewed by 1075
Abstract
This work presents an LC resonant passive wireless gas sensor with a novel structure designed to mitigate the negative impact of substrate. The LC sensor antenna in the new structure, and the reader antenna, were designed and optimized utilizing HFSS software to improve [...] Read more.
This work presents an LC resonant passive wireless gas sensor with a novel structure designed to mitigate the negative impact of substrate. The LC sensor antenna in the new structure, and the reader antenna, were designed and optimized utilizing HFSS software to improve the transfer efficiency. The superiority of the designed structure compared with general examples is highlighted and verified. The change in the substrate capacitance essentially makes no interference with the parameters of the LC sensor to be measured. The sensor for the new structure was prepared by combining etching and sputtering methods. The ZnO nanowires (NWs) were characterized to confirm their high purity and wurtzite crystal structure. The LC gas sensors demonstrated excellent wireless sensing performance, including a low detection limit of 0.5 ppm NO2, high response of 1.051 and outstanding stability at 180 °C. The newly developed sensor structure not only prevented interference from the substrate during gas sensing testing, but also expanded the choice of sensor substrates, playing a critical role in the development of sensors based on the LC resonance principle. Full article
(This article belongs to the Special Issue Chemical Sensors for Volatile Organic Compound Detection, 2nd Edition)
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Review

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19 pages, 5485 KiB  
Review
A Mini-Review on Metal Oxide Semiconductor Gas Sensors for Carbon Monoxide Detection at Room Temperature
by Yaoyi He and Mingzhi Jiao
Chemosensors 2024, 12(4), 55; https://doi.org/10.3390/chemosensors12040055 - 06 Apr 2024
Viewed by 596
Abstract
Carbon monoxide can cause severe harm to humans even at low concentrations. Metal Oxide Semiconductor (MOS) carbon monoxide gas sensors have excellent sensing performance regarding sensitivity, selectivity, response speed, and stability, making them very desirable candidates for carbon monoxide monitoring. However, MOS gas [...] Read more.
Carbon monoxide can cause severe harm to humans even at low concentrations. Metal Oxide Semiconductor (MOS) carbon monoxide gas sensors have excellent sensing performance regarding sensitivity, selectivity, response speed, and stability, making them very desirable candidates for carbon monoxide monitoring. However, MOS gas sensors generally work at temperatures higher than room temperature, and need a heating source that causes high power consumption. High power consumption is a great problem for long-term portable monitoring devices for point-of-care or wireless sensor nodes for IoT application. Room-temperature MOS carbon monoxide gas sensors can function well without a heater, making them rather suitable for IoT or portable applications. This review first introduces the primary working mechanism of MOS carbon monoxide sensors and then gives a detailed introduction to and analysis of room-temperature MOS carbon monoxide sensing materials, such as ZnO, SnO2, and TiO2. Lastly, several mechanisms for room-temperature carbon monoxide sensors based on MOSs are discussed. The review will be interesting to engineers and researchers working on MOS gas sensors. Full article
(This article belongs to the Special Issue Chemical Sensors for Volatile Organic Compound Detection, 2nd Edition)
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