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Special Issue "Chemical Sensors for Measurement Systems"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Materials".

Deadline for manuscript submissions: 31 May 2021.

Special Issue Editors

Prof. Dr. Marco Mugnaini
E-Mail Website
Guest Editor
Department of Information Engineering and Mathematics, University of Siena, Via Roma, 56 - 53100 Siena, Italy
Interests: reliability and avaialbility of sensing systems and elctronic design
Prof. Dr. Ada Fort
E-Mail Website
Guest Editor
Department of Information Engineering and Mathematics, University of Siena, Via Roma, 56 - 53100 Siena, Italy
Interests: electronics and measurement systems; sensors; sensors modeling

Special Issue Information

Dear Colleagues,

The proposed Special Issue will aim to address advancements in chemical sensors research field and to spread the most recent outcomes on gas and liquid detection and detection systems. At present, technology is pushing the market to face new challenges in terms of materials, sensitivity, long-term stability, and re-usability of chemical gas sensors and platforms. Researchers can present their most recent findings and discoveries to make the scientific community aware of the most updated technologies and performance related to chemical sensing.

Chemical measurement system reliability evaluation and industrial exploitation are welcome in this issue to try to link research areas with practical exploitation of results to allow for easy technology transfer. Testing protocols and sensor modeling are also hot topics which can allow a better knowledge of materials and fabrication processes, allowing a more confident use of new emerging technologies.

Prof. Dr. Marco Mugnaini
Prof. Dr. Ada Fort
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 papers will be 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. Sensors is an international peer-reviewed open access semimonthly 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 2200 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

  • chemical sensors
  • new materials
  • sensing systems
  • sensor modelling
  • sensors reliability
  • wireless chemical sensors
  • industrial applications
  • sensors for safety applications
  • new sensing principles

Published Papers (1 paper)

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Research

Open AccessArticle
Characterization and Neural Modeling of a Microwave Gas Sensor for Oxygen Detection Aimed at Healthcare Applications
Sensors 2020, 20(24), 7150; https://doi.org/10.3390/s20247150 - 13 Dec 2020
Viewed by 660
Abstract
The studied sensor consists of a microstrip interdigital capacitor covered by a gas sensing layer made of titanium dioxide (TiO2). To explore the gas sensing properties of the developed sensor, oxygen detection is considered as a case study. The sensor is [...] Read more.
The studied sensor consists of a microstrip interdigital capacitor covered by a gas sensing layer made of titanium dioxide (TiO2). To explore the gas sensing properties of the developed sensor, oxygen detection is considered as a case study. The sensor is electrically characterized using the complex scattering parameters measured with a vector network analyzer (VNA). The experimental investigation is performed over a frequency range of 1.5 GHz to 2.9 GHz by placing the sensor inside a polytetrafluoroethylene (PTFE) test chamber with a binary gas mixture composed of oxygen and nitrogen. The frequency-dependent response of the sensor is investigated in detail and further modelled using an artificial neural network (ANN) approach. The proposed modelling procedure allows mimicking the measured sensor performance over the whole range of oxygen concentration, going from 0% to 100%, and predicting the behavior of the resonant frequencies that can be used as sensing parameters. Full article
(This article belongs to the Special Issue Chemical Sensors for Measurement Systems)
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