Polymorphic Architecture for an Electronic Nose (eNose)

Bioinspired evolvable techniques significantly increase the functionality of autonomous low-power detection systems by enabling them to learn, adapt and self-reconfigure through use of programmable BioFET devices. Electronic artificial noses or sniffers as bioinspired devices are under development that produces holograms stored within three-dimensional protein memory structures enabling automated real-time detection and classification of odors, vapors and contamination within gases.