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Gas Sensors and Electronic Noses for the Real Condition Sensing

This special issue belongs to the section “Applied Chemical Sensors“.

Special Issue Information

Dear Colleagues,

Electronic noses with chemical gas sensors represent an important approach for the identification of volatile organic compounds. Previous electronic nose systems have been used in a range of successful qualitative and quantitative gas-phase analyses in laboratories. The next great challenge facing gas sensors and electronic noses is their implementation under real conditions. Therefore, the gas sensors for electronic noses should have improved physical and chemical properties of power consumption, reproducibility, selectivity, etc. New system structures should be focused on balancing the performance, volume, and weight of electronic noses. Cutting-edge machine learning models should be considered for complex and difficult scenarios.

This Special Issue aims to highlight the latest research activities in the field of gas sensors and electronic noses in real conditions and their applications. Topics of interest include but are not limited to following areas:

  • Material, structure, and fabrication for long-term-use chemical gas sensors;
  • Miniaturized gas injection systems for electronic noses;
  • Machine learning models for electronic noses for automatic calibration, online consecutive recognition, and other complex environments.

An electronic nose is an applied system based on chemical gas sensors. Research on electronic noses is firmly within the scope of Chemosensors. For this Special Issue, topics of interest also cover chemical sensors and associated applications, which also fit exactly with the scope of Chemosensors

Both review articles and original research papers are welcome.

Dr. Tao Liu
Prof. Dr. Ping Wang
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 250 words) can be sent to the Editorial Office for assessment.

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

  • electronic nose
  • gas sensor
  • machine learning
  • gas sensing
  • cognitive intelligence

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Chemosensors - ISSN 2227-9040