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Electronic Nose and Artificial Olfaction

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

Deadline for manuscript submissions: 30 September 2024 | Viewed by 150

Special Issue Editors

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Guest Editor
Center for Agri-Food and Agro-Environmental Research and Innovation (CIAGRO), Miguel Hernández University of Elche, 03312 Orihuela, Spain
Interests: electronic nose; sensors for agrifood applications, disease detection using electronic nose, sensor platform
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Industrial Engineering School, University of Extremadura, 06006 Badajoz, Spain
Interests: gas sensors; materials; pattern recognition; machine olfaction; electronic nose

Special Issue Information

Dear Colleagues,

The olfactory system, a complex and intricate sensory mechanism, plays a pivotal role in our daily lives, influencing our perceptions, behaviors, and well-being. Over the years, the development of Electronic Nose (eNose) technology has been driven by the aspiration to replicate and enhance the olfactory capabilities of humans for various applications spanning industries. It is based on the use of gas sensors combined with pattern recognition methods. Both topics have made great advances in recent years and are worth reviewing in this Special Issue. Chemical sensors have improved their metrological parameters such as the limit of detection, the linearity of the response signal, sensitivity, selectivity, size, consumption, response time and repeatability. The second involved the development of advanced embedded or remote signal and data analysis techniques, including big data and cloud computing.

Prof. Dr. Jesus Lozano
Dr. Antonio Ruiz-Canales
Dr. Patricia Arroyo
Guest Editors

Manuscript Submission Information

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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.


  • sensor development, novel materials and integration for eNose systems
  • signal processing techniques for odor recognition and classification
  • machine learning and artificial intelligence approaches in olfactory data analysis
  • miniaturization and wearable eNose devices
  • applications of eNose in food quality control, environmental monitoring, healthcare and beyond
  • human–machine interaction and olfactory interfaces
  • challenges and future directions in the field of artificial olfaction

Published Papers

This special issue is now open for submission.
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