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Gas Sensors for Internet of Things Era
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Gas Sensors for Internet of Things Era

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

Deadline for manuscript submissions: closed (26 August 2021) | Viewed by 9696

Special Issue Editors

Dr. Sangtae Kim

E-Mail Website
Guest Editor
Department of Nuclear Engineering, Hanyang University, Seoul, Korea
Interests: electrochemical energy harvesters; gas sensors; solid-state materials chemistry; micro/nano-fabrication
Dr. Young Seok Shim

E-Mail Website
Guest Editor
Department of Materials Science and Engineering, Silla University, Busan, Korea
Interests: nanomaterials; 3D nanostructures; gas sensors; automotive air quality sensor; low power consumption; nano generators for energy harvesting

Special Issue Information

Dear Colleagues,

Low-power gas sensors represent a key component of the Internet of Things (IoT) era, effectively collecting information on specific gaseous species and transforming it into an electrical signal. In particular, gas sensors that detect minute concentration of hazardous gases have immediate technological application in food processing, medical diagnosis, fuel control for automobiles, aerospace vehicles, and environmental monitoring. Traditionally, various gas sensor types, including electrochemical, semiconductor, optical, capacitance-based, calorimetric, and acoustic-based gas sensors, have been validated and commercialized. With the advent of the IoT era, however, the requirements for successful gas sensors have diversified, involving novel key performance criteria such as miniaturized size, low power consumption, and easy integration with electronic circuits. In addition, individual sensor devices as well as gas sensor systems including heaters, circuit elements such as low-power wireless transmitters, and IoT platform integration have received significant research attention. This Special Issue of Sensors aims to collect both reviews and original research papers on advancing gas sensor technology for the IoT era. Potential topics include but are not limited to the following:

  • Design of nanomaterials for gas sensors
  • Self-activated sensing materials
  • Self-heated sensing materials
  • Heaterless sensing materials
  • Synthesis methods for sensing materials
  • Sensing materials characterization
  • Design of catalysts for high selectivity
  • First-principle calculation
  • Sensing measurement system
  • Sensor arrays technologies
  • Circuit and Electrodes design for sensor arrays
  • NEMS and MEMS for gas sensors
  • Artificial intelligence methods for gas sensors
  • Signal processing for gas sensors
  • Olfactory system

Dr. Sangtae Kim
Dr. Young Seok Shim
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. 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 2600 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

  • nanomaterials
  • catalysts
  • gas sensor arrays
  • first principle calculation
  • artificial intelligence
  • electronic nose

Published Papers (2 papers)

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Research

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9 pages, 3329 KiB  
Communication
Metal Oxide Nanorods-Based Sensor Array for Selective Detection of Biomarker Gases
by Gwang Su Kim, Yumin Park, Joonchul Shin, Young Geun Song and Chong-Yun Kang
Sensors 2021, 21(5), 1922; https://0-doi-org.brum.beds.ac.uk/10.3390/s21051922 - 9 Mar 2021
Cited by 7 | Viewed by 3700
Abstract
The breath gas analysis through gas phase chemical analysis draws attention in terms of non-invasive and real time monitoring. The array-type sensors are one of the diagnostic methods with high sensitivity and selectivity towards the target gases. Herein, we presented a 2 × [...] Read more.
The breath gas analysis through gas phase chemical analysis draws attention in terms of non-invasive and real time monitoring. The array-type sensors are one of the diagnostic methods with high sensitivity and selectivity towards the target gases. Herein, we presented a 2 × 4 sensor array with a micro-heater and ceramic chip. The device is designed in a small size for portability, including the internal eight-channel sensor array. In2O3 NRs and WO3 NRs manufactured through the E-beam evaporator’s glancing angle method were used as sensing materials. Pt, Pd, and Au metal catalysts were decorated for each channel to enhance functionality. The sensor array was measured for the exhaled gas biomarkers CH3COCH3, NO2, and H2S to confirm the respiratory diagnostic performance. Through this operation, the theoretical detection limit was calculated as 1.48 ppb for CH3COCH3, 1.9 ppt for NO2, and 2.47 ppb for H2S. This excellent detection performance indicates that our sensor array detected the CH3COCH3, NO2, and H2S as biomarkers, applying to the breath gas analysis. Our results showed the high potential of the gas sensor array as a non-invasive diagnostic tool that enables real-time monitoring. Full article
(This article belongs to the Special Issue Gas Sensors for Internet of Things Era)
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Review

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21 pages, 523 KiB  
Review
A Short Review of Cavity-Enhanced Raman Spectroscopy for Gas Analysis
by Christian Niklas, Hainer Wackerbarth and Georgios Ctistis
Sensors 2021, 21(5), 1698; https://0-doi-org.brum.beds.ac.uk/10.3390/s21051698 - 2 Mar 2021
Cited by 23 | Viewed by 5192
Abstract
The market of gas sensors is mainly governed by electrochemical, semiconductor, and non-dispersive infrared absorption (NDIR)-based optical sensors. Despite offering a wide range of detectable gases, unknown gas mixtures can be challenging to these sensor types, as appropriate combinations of sensors need to [...] Read more.
The market of gas sensors is mainly governed by electrochemical, semiconductor, and non-dispersive infrared absorption (NDIR)-based optical sensors. Despite offering a wide range of detectable gases, unknown gas mixtures can be challenging to these sensor types, as appropriate combinations of sensors need to be chosen beforehand, also reducing cross-talk between them. As an optical alternative, Raman spectroscopy can be used, as, in principle, no prior knowledge is needed, covering nearly all gas compounds. Yet, it has the disadvantage of a low quantum yield through a low scattering cross section for gases. There have been various efforts to circumvent this issue by enhancing the Raman yield through different methods. For gases, in particular, cavity-enhanced Raman spectroscopy shows promising results. Here, cavities can be used to enhance the laser beam power, allowing higher laser beam-analyte interaction lengths, while also providing the opportunity to utilize lower cost equipment. In this work, we review cavity-enhanced Raman spectroscopy, particularly the general research interest into this topic, common setups, and already achieved resolutions. Full article
(This article belongs to the Special Issue Gas Sensors for Internet of Things Era)
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