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A miniature electronic nose system based on an MWNT-polymer microsensor array and a low-power signal-processing chip.
Shih-Wen Chiu1, Hsiang-Chiu Wu, Ting-I Chou
1Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan.
Analytical and Bioanalytical Chemistry
|January 4, 2014
Summary
A miniature electronic nose (e-nose) system was developed using a novel microsensor array and low-power chip. This power-efficient e-nose successfully identifies complex odors like wine and spirits.
Area of Science:
- * Sensor Technology
- * Microelectronic Systems
Background:
- * Development of compact and energy-efficient sensing devices is crucial for portable applications.
- * Existing electronic nose (e-nose) systems often face challenges with power consumption and miniaturization.
Purpose of the Study:
- * To introduce a novel, power-efficient, and miniature electronic nose (e-nose) system.
- * To detail the design and fabrication of a microsensor array and a low-power signal-processing chip for the e-nose.
Main Methods:
- * Fabrication of a multiple-walled carbon nanotube (MWNT)-polymer microsensor array using photolithography and a two-layer deposition method.
- * Design and fabrication of a low-power signal-processing chip with data acquisition circuits and a microprocessor using a 0.18-μm CMOS process.
- * Integration of the microsensor array and signal-processing chip with a k-nearest-neighbor algorithm for odor classification.
Main Results:
- * The microsensor array featured eight interdigitated electrodes within a 650 × 760 μm area, utilizing SU-8 walls to confine materials.
- * The low-power signal-processing chip achieved a power consumption of 1.05 mW at specified supply voltages.
- * The prototype e-nose system demonstrated successful recognition of complex odors, including tincture, sorghum wine, sake, whisky, and vodka.
Conclusions:
- * The developed miniature e-nose system offers a power-efficient solution for odor detection.
- * The integration of the MWNT-polymer microsensor array and low-power chip enables effective odor classification.
- * This technology holds potential for various applications requiring portable and sensitive odor analysis.

