Measuring the resistance fluctuations of gas sensors provides new opportunities to enhance the selectivity and sensitivity of the sensor. Taking advantage of this possibility requires special low-noise measurement hardware and software to acquire data and perform analysis. In our talk we will present a small, USB-powered device capable of doing precise measurement of the resistance fluctuations of different kinds of gas sensors. We have developed a graphical user interface software to control the parameters of the measurement, to collect data and perform real time analysis on the measured data. The analysis is based on a PCA algorithm, which is proven to be a high performance tool to support fluctuation enhanced sensing. The system has been tested on Taguchi and carbon nanotube based gas sensors as well. The main advantages of the system include the small form factor, low cost and the fully featured software performing all required data analysis operations. Complemented with a gas sensor and an optional test chamber, the setup can serve as an efficient tool for practical fluctuation-enhanced gas sensing.
[1]
Chiman Kwan,et al.
Fluctuation-Enhanced Sensing: Status and Perspectives
,
2008,
IEEE Sensors Journal.
[2]
Chiman Kwan,et al.
Binary Fingerprints at Fluctuation-Enhanced Sensing
,
2010,
Sensors.
[3]
Angel Rubio,et al.
Increasing chemical selectivity of carbon nanotube-based sensors by fluctuation-enhanced sensing
,
2010
.
[4]
Laszlo B. Kish,et al.
Extracting information from noise spectra of chemical sensors: single sensor electronic noses and tongues
,
2000
.
[5]
C. Kwan,et al.
Fluctuation-Enhanced Sensing With Zero-Crossing Analysis for High-Speed and Low-Power Applications
,
2010,
IEEE Sensors Journal.
[6]
Janusz Smulko,et al.
HAZARDOUS GASES DETECTION BY FLUCTUATION-ENHANCED GAS SENSING
,
2010
.