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Advanced Chemical Sensors for Industrial and Environmental Applications

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

Deadline for manuscript submissions: 30 August 2024 | Viewed by 1606

Special Issue Editors


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Guest Editor
National Institute for Occupational Safety and Health, Pittsburgh, PA, USA
Interests: applied electromagnetics; microwave acoustics; acoustic sensors; magnetic sensors; magnetic materials

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Guest Editor
School of Engineering and Computer Science, Washington State University Vancouver, Vancouver, WA 98686, USA
Interests: flexible wireless system; wearable sensors and electronics; wireless sensor systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The industrial sector is a major source of chemical waste and gas emissions, posing a challenge to the creation of a sustainable world. Industries, including, but not limited to, extraction, refining, mining, process control, and automotives, use numerous chemicals for their operation and emit a vast variety of chemicals that can be explosive, toxic, and hazardous . Detectors for gases, chemical vapors, pH, corrosion, and many other chemicals combined with advanced data analytics can be used to accurately monitor and control the manufacturing processes, chemical waste, and gas emissions of critical industrial systems. These screening devices help to improve the safety, reliability, and operation efficiency of industrial systems, aiding in meeting global environmental and sustainability goals. Chemical sensors are also becoming increasingly important in monitoring air pollution levels in various applications, including in smart buildings and cities.

There have been significant technological advances in the development of chemical sensors for industrial and environmental applications in the era of the Internet of Things (IoT), artificial intelligence, and Industry 4.0. This Special Issue covers all types of chemical sensors, including optical, electrical, acoustic, magnetic, thermal, and electrochemical modality-based detection relevant to industrial systems and the environment. This Special Issue covers original research articles based on experimental demonstration, theory and modeling, algorithms, and data analytics, or a combination thereof, as well as review articles.

Dr. Jagannath Devkota
Dr. Praveen Sekhar
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

  • gas sensors
  • industrial systems
  • environmental applications
  • chemical vapors
  • pH
  • corrosion

Published Papers (1 paper)

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Research

12 pages, 3947 KiB  
Article
An Impedance-Loaded Surface Acoustic Wave Corrosion Sensor for Infrastructure Monitoring
by Jagannath Devkota, David W. Greve, Nathan Diemler, Richard Pingree and Ruishu Wright
Sensors 2024, 24(3), 789; https://doi.org/10.3390/s24030789 - 25 Jan 2024
Viewed by 876
Abstract
Passive surface acoustic wave (SAW) devices are attractive candidates for continuous wireless monitoring of corrosion in large infrastructures. However, acoustic loss in the aqueous medium and limited read range usually create challenges in their widespread use for monitoring large systems such as oil [...] Read more.
Passive surface acoustic wave (SAW) devices are attractive candidates for continuous wireless monitoring of corrosion in large infrastructures. However, acoustic loss in the aqueous medium and limited read range usually create challenges in their widespread use for monitoring large systems such as oil and gas (O&G) pipelines, aircraft, and processing plants. This paper presents the investigation of impedance-loaded reflective delay line (IL-RDL) SAW devices for monitoring metal corrosion under O&G pipeline-relevant conditions. Specifically, we studied the effect of change in resistivity of a reflector on the backscattered signal of an RDL and investigated an optimal range through simulation. This was followed by the experimental demonstrations of real-time monitoring of Fe film corrosion in pressurized (550 psi) humid CO2 conditions. Additionally, remote monitoring of Fe film corrosion in an acidic solution inside a 70 m carbon steel pipe was demonstrated using guided waves. This paper also suggests potential ways to improve the sensing response of IL-RDLs. Full article
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