Polymorphic Architecture for an Electronic Nose (eNose)

Author

Ewing, R.L. ; Abdel-Aty-Zohdy, H.S. ; Morrison, J.R.

Author_Institution

Inf. Directorate, US Air Force Res. Lab., Wright-Patterson AFB, OH

Volume

2

fYear

2006

fDate

6-9 Aug. 2006

Firstpage

551

Lastpage

554

Abstract

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.

Keywords

biocomputing; biomimetics; biomolecular electronics; biosensors; electronic noses; embedded systems; field effect transistors; holographic storage; low-power electronics; pattern classification; proteins; reconfigurable architectures; wavelet transforms; automated real-time odors detection; autonomous low-power detection systems; bioinspired evolvable techniques; contamination classification; electronic artificial nose; electronic sniffers; holograms production; odors classification; polymorphic architecture; programmable BioFET devices; three-dimensional protein memory structures; vapors detection; wavelet correlator; Chemical technology; Computerized monitoring; Electronic noses; FETs; Gases; Laboratories; Leak detection; Neural networks; Protein engineering; Sensor arrays;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2006. MWSCAS '06. 49th IEEE International Midwest Symposium on

Conference_Location

San Juan

ISSN

1548-3746

Print_ISBN

1-4244-0172-0

Electronic_ISBN

1548-3746

Type

conf

DOI

10.1109/MWSCAS.2006.381789

Filename

4267413