Electronic Nose
A special issue of Chemosensors (ISSN 2227-9040).
Deadline for manuscript submissions: closed (15 April 2016) | Viewed by 436
Special Issue Editor
Interests: electronic noses; machine olfaction; chemical sensors; MEMS; smart sensor systems; data analysis; deep learning; neural networks; industrial applications and medical applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The electronic nose is still a relatively new approach that is celebrating 20 years since commercialization. It has found successful use in a broad spectrum of different applications, covering environmental monitoring, food and beverages, agriculture, medical, security, process control, and mobile sensing. One of its key advantages is being able to simplify and classify complex chemical environments into a simple output, making it almost unique within analytical instruments. This is achieved by mimicking the biological olfactory system, where odours are considered as a whole, instead of as individual chemicals—as the human nose does. Its simple operation, use of air as the carrier gas, relatively low-cost, and real-time operation have made it attractive to researchers. This is seen by the vast numbers of papers in this field where researchers are developing their own instruments in parallel to using commercial products.
More recently, there has been a drive to create smaller and more sophisticated instruments that use the latest developments in chemical sensors to enhance performance and broaden applicability. Such work is also attempting to improve the reliability and repeatability in order to make them fit in ever more challenging environments.
In this Special Issue, we consider the entirety of the electronic nose field, looking at new sensors and sensor materials, electronic nose development, data processing, and the applications of electronic noses to real life applications, as we look to the future of this technology.
James A. Covington
Guest Editor
Manuscript Submission Information
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Keywords
- Electronic Nose
- Artificial olfaction
- Machine olfaction
- Chemical sensors
- Sensing materials
- Machine learning
- E-nose Applications
- Mobile sensing
