Trends to develop devices mimicking all the mammalian senses have produced both basic and applied research in corresponding directions since the 20th century. So far, we have widely employed sensor units, which have yielded signals regarding electromagnetic radiation (vision), acoustic waves (audition), pressure, temperature, and motion (somatosensation). However, gustation, and olfaction in particular, are extremely difficult to simulate for machine detection due to a variety of substances and interference effects. In many tasks where the selectivity is not demanded as much, chemical sensors have found a market niche because of the high sensitivity obtained recently due to great success in material science and micro- and nano-electronics technologies. To approach the selectivity issue in the same way as the human olfaction system, we have used vector signals or patterns generated by multisensor arrays or single sensors operated under varying conditions. Analyte-specific multisensor patterns are processed by corresponding algorithms recently developed by information technologies. However, s so far these multisensor units have not found a significant market that requires new breakthroughs in the field.
Therefore, we invite applicants to look over the recent advances in multisensor arrays and call for innovative works that explore frontiers and challenges in the field.
The topics of interest include but are not limited to the following:
Fundamentals of multisensor arrays
Multisensor array technologies
Emerging materials for multisensor arrays
Integration of sensors to multisensor arrays, features, and challenges
Innovative pattern recognition approaches to multisensor signals
Interfaces for multisensor arrays
Packaging for multisensor array chips
Multisensor array networks and IoT
Applications of multisensor arrays and artificial intelligence