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Chemosensors
Special Issues
Novel Gas Sensing Approaches: From Fabrication to Application
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Novel Gas Sensing Approaches: From Fabrication to Application

A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Applied Chemical Sensors".

Deadline for manuscript submissions: 20 June 2025 | Viewed by 1647

Special Issue Editors

Dr. Guillem Domènech-Gil

E-Mail Website
Guest Editor
Department of Electronics and Biomedical Engineering, University of Barcelona, Barcelona, Spain
Interests: electronic noses; machine learning; volatile organic compounds; greenhouse gases; chemical sensors
Dr. Donatella Puglisi

E-Mail Website
Guest Editor
Division of Applied Sensor Science, Department of Physics, Chemistry and Biology, Linköping University, SE-58183 Linköping, Sweden
Interests: gas sensor systems; volatile organic compounds; hazardous chemicals; digital technologies; machine learning; applied research
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Novel methodological approaches and technological proofs of concept are the seed for the advancement of gas sensing research. These approaches can lead not simply to an incremental improvement but to a true paradigm shift with far-reaching impacts on society. Moreover, they have the crucial role of addressing existing limitations related to, for example, accuracy, device integration, miniaturization, power consumption, and costs and pave the way for new applications with expanded functionalities, such as wearable devices or remote and mobile environmental monitoring. Pushing the boundaries is what drives progress towards more advanced, efficient, and versatile gas sensor devices.

This Special Issue seeks review articles and original, innovative interdisciplinary research papers that could have a large societal impact and showcase the recent advancements in gas sensing. We welcome the submission of papers concerning the following topics, though this list is not exhaustive:

  • Proof of concept and development of new sensing materials;
  • Novel gas sensor fabrication and integration methodologies;
  • Improved gas sensor operation strategies;
  • The implementation of Internet of Things (IoT) and effective data management;
  • The implementation of AI/machine learning algorithms and advanced data processing;
  • Air pollutant monitoring in indoor and outdoor environments;
  • The deployment and evaluation of sensor systems and sensor networks;
  • Innovative applications with large societal impacts.

Dr. Guillem Domènech-Gil
Dr. Donatella Puglisi
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 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

  • smart sensors
  • VOCs
  • machine learning
  • environmental monitoring
  • artificial intelligence
  • Internet of Things
  • air quality
  • leakage detection
  • industrial safety
  • public health and well-being

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Published Papers (1 paper)

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Research

11 pages, 5810 KiB  
Article
Reading Dye-Based Colorimetric Inks: Achieving Color Consistency Using Color QR Codes
by Ismael Benito-Altamirano, Laura Engel, Ferran Crugeira, Miriam Marchena, Jürgen Wöllenstein, Joan Daniel Prades and Cristian Fàbrega
Chemosensors 2024, 12(12), 260; https://doi.org/10.3390/chemosensors12120260 - 13 Dec 2024
Cited by 1 | Viewed by 998
Abstract
Color consistency when reading colorimetric sensors is a key factor for this technology. Here, we demonstrate how the usage of machine-readable patterns, like QR codes, can be used to solve the problem. We present our approach of using back-compatible color QR codes as [...] Read more.
Color consistency when reading colorimetric sensors is a key factor for this technology. Here, we demonstrate how the usage of machine-readable patterns, like QR codes, can be used to solve the problem. We present our approach of using back-compatible color QR codes as colorimetric sensors, which are common QR codes that also embed a set of hundreds of color references as well as colorimetric indicators. The method allows locating the colorimetric sensor within the captured scene and to perform automated color correction to ensure color consistency regardless of the hardware used. To demonstrate it, a CO2-sensitive colorimetric indicator was printed on top of a paper-based substrate using screen printing. This indicator was formulated for Modified Atmosphere Packaging (MAP) applications. To verify the method, the sensors were exposed to several environmental conditions (both in gas composition and light conditions). And, images were captured with an 8M pixel digital camera sensor, similar to those used in smartphones. Our results show that the sensors have a relative error of 9% when exposed with a CO2 concentration of 20%. This is a good result for low-cost disposable sensors that are not intended for permanent use. However, as soon as light conditions change (2500–6500 K), this error increases up to ϵ20 = 440% (rel. error at 20% CO2 concentration) rendering the sensors unusable. Within this work, we demonstrate that our color QR codes can reduce the relative error to ϵ20 = 14%. Furthermore, we show that the most common color correction, white balance, is not sufficient to address the color consistency issue, resulting in a relative error of ϵ20 = 90%. Full article
(This article belongs to the Special Issue Novel Gas Sensing Approaches: From Fabrication to Application)
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