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A miniature electronic nose system based on an MWNT-polymer microsensor array and a low-power signal-processing chip.

Authors :
Chiu SW
Wu HC
Chou TI
Chen H
Tang KT
Source :
Analytical and bioanalytical chemistry [Anal Bioanal Chem] 2014 Jun; Vol. 406 (16), pp. 3985-94. Date of Electronic Publication: 2014 Jan 03.
Publication Year :
2014

Abstract

This article introduces a power-efficient, miniature electronic nose (e-nose) system. The e-nose system primarily comprises two self-developed chips, a multiple-walled carbon nanotube (MWNT)-polymer based microsensor array, and a low-power signal-processing chip. The microsensor array was fabricated on a silicon wafer by using standard photolithography technology. The microsensor array comprised eight interdigitated electrodes surrounded by SU-8 "walls," which restrained the material-solvent liquid in a defined area of 650 × 760 μm(2). To achieve a reliable sensor-manufacturing process, we used a two-layer deposition method, coating the MWNTs and polymer film as the first and second layers, respectively. The low-power signal-processing chip included array data acquisition circuits and a signal-processing core. The MWNT-polymer microsensor array can directly connect with array data acquisition circuits, which comprise sensor interface circuitry and an analog-to-digital converter; the signal-processing core consists of memory and a microprocessor. The core executes the program, classifying the odor data received from the array data acquisition circuits. The low-power signal-processing chip was designed and fabricated using the Taiwan Semiconductor Manufacturing Company 0.18-μm 1P6M standard complementary metal oxide semiconductor process. The chip consumes only 1.05 mW of power at supply voltages of 1 and 1.8 V for the array data acquisition circuits and the signal-processing core, respectively. The miniature e-nose system, which used a microsensor array, a low-power signal-processing chip, and an embedded k-nearest-neighbor-based pattern recognition algorithm, was developed as a prototype that successfully recognized the complex odors of tincture, sorghum wine, sake, whisky, and vodka.

Details

Language :
English
ISSN :
1618-2650
Volume :
406
Issue :
16
Database :
MEDLINE
Journal :
Analytical and bioanalytical chemistry
Publication Type :
Academic Journal
Accession number :
24385138
Full Text :
https://doi.org/10.1007/s00216-013-7547-0