Transient response analysis for temperature-modulated chemoresistors

Sensors and Actuators, B: Chemical

Volumn 93, Issue 1-3, 2003, Pages 57-66

  Gutierrez Osuna, R ^a   Gutierrez Galvez, A ^a   Powar, N ^b  

^a TEXAS A AND M UNIVERSITY   (United States)

^b Wright State University   (United States)

Author keywords

Electronic nose; Gas sensor arrays; Multi exponential models; Pattern recognition; Temperature modulation; Transient response analysis

Indexed keywords

DATABASE SYSTEMS; ORGANIC SOLVENTS; PATTERN RECOGNITION; TRANSIENTS;

TEMPERATURE MODULATION;

CHEMICAL SENSORS;

EID: 0037773552     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-4005(03)00248-X     Document Type: Conference Paper

References (33)

1. Lee A.P., Reedy B.J. Temperature modulation in semiconductor gas sensing. Sens. Actuators B. 60:1999;35-42.
2. R. Gutierrez-Osuna, S. Korah, A. Perera, in: Proceedings of the Eighth International Symposium on Olfaction and Electronic Nose, Washington, DC, 2001.
3. Sears W.M., Colbow K., Consadori F. General characteristics of thermally cycled tin oxide gas sensors. Semicond. Sci. Technol. 4:1989;351-359.
4. Sears W.M., Colbow K., Consadori F. Algorithms to improve the selectivity of thermally cycled tin oxide gas sensors. Sens. Actuators B. 19:1989;333-349.
5. S. Nakata, Y. Kaneda, H. Nakamura, K. Yoshikawa, Detection and quantification of CO gas based on the dynamic response of a ceramic sensor, Chem. Lett. (1991) 1505-1508.
6. Nakata S., Nakamura H., Yoshikawa K. New strategy for the development of a gas sensor based on the dynamic characteristics: principle and preliminary experiment. Sens. Actuators B. 8:1992;187-189.
7. Nakata S., Akakabe S., Nakasuji M., Yoshikawa K. Gas sensing based on a non-linear response: discrimination between hydrocarbons and quantification of individual components in a gas mixture. Anal. Chem. 68:1996;2067-2072.
8. Nakata S., Yoshikawa K. Non-linear dynamics in chemical assembly. Trends Chem. Phys. 4:1996;23-58.
9. Nakata S., Ozaki E., Ojima N. Gas sensing based on the dynamic non-linear responses of a semiconductor gas sensor: dependence on the range and frequency of a cyclic temperature change. Anal. Chim. Acta. 361:1998;93-100.
10. 2-based thick film sensors. Sens. Actuators B. 43:1997;45-51.
11. Llobet E., Ionescu R., Al-Khalifa S., Brezmes J., Vilanova X., Correig X., Barsan N., Gardner J.W. Multi-component gas mixture analysis using a single tin oxide sensor and dynamic pattern recognition. IEEE Sens. J. 1(3):2001;207-213.
12. M.O. Perez-Lisboa, M. Barriga-Puente de la Vega, F.J. Ramirez-Fernandez, Study of sensitivity and selectiveness of gas sensor array to periodic stimuli, in: Proceedings of the International Conference on Microelectronics and Packaging (ICMP99), vol. 1, Campinas, SP, 1999, pp. 267-269.
13. Wlodek S., Colbow K., Consadori F. Signal-shape analysis of a thermally cycled tin oxide gas sensor. Sens. Actuators B. 3:1991;63-68.
14. T.A. Kunt, Dynamic modelling and optimization of micro-hotplate chemical gas sensors, Ph.D. dissertation, University of Maryland, College Park, MD, 1997.
15. Kunt T.A., McAvoy T.J., Cavicchi R.E., Semancik S. Optimization of temperature programmed sensing for gas identification using micro-hotplate sensors. Sens. Actuators B. 53:1998;24-43.
16. 2 gas sensors. Sens. Actuators B. 9:1992;177-182.
17. Amamoto T., Yamaguchi T., Matsuura Y., Kajiyama Y. Development of pulse drive semiconductor gas sensor. Sens. Actuators B. 13-14:1993;587-588.
18. Kato Y., Yoshikawa K., Kitora M. Temperature-dependent dynamic response enables the qualification and quantification of gases by a single sensor. Sens. Actuators B. 40:1997;33-37.
19. Yea B., Osaki T., Sugahara K., Konishi R. The concentration-estimation of inflammable gases with a semiconductor gas sensor utilizing neural networks and fuzzy inference. Sens. Actuators B. 41:1997;121-129.
20. Figaro 1996, Figaro Engineering Inc., Osaka, Japan.
21. Gutierrez-Osuna R., Nagle H.T., Schiffman S.S. Transient response analysis of an electronic nose using multi-exponential models. Sens. Actuators B. 61(1-3):1999;170-182.
22. Yeramian E., Claverie P. Analysis of multi-exponential functions without a hypothesis as to the number of components. Nature. 326:1987;169-1174.
23. Marco S., Samitier J., Morante J.R. A novel time domain method to analyze multi-component exponential transients. Meas. Sci. Technol. 6:1995;135-142.
24. B.G. Kermani, On using neural networks and genetic algorithms to optimize the performance of an electronic nose, Ph.D. dissertation, North Carolina State University, Raleigh, NC, 1995.
25. C. Lanczos, Applied Analysis, Prentice-Hall, Englewood Cliffs, NJ, 1956.
26. Gardner D.G., Gardner J.C., Laush G.L., Meinke W.W. Method for the analysis of multi-component exponential decay curves. J. Chem. Phys. 31:1959;978-986.
27. Weiss L., McDonough R.N. Prony's method, Z-transforms, and Pade approximation. SIAM Rev. 5(2):1963;145-149.
28. C.L. Phillips, H.T. Nagle, Digital Control Systems Analysis and Design, Prentice-Hall, Englewood Cliffs, 1995.
29. R. Gutierrez-Osuna, Signal processing and pattern recognition for an electronic nose, Ph.D. dissertation, North Carolina State University, Raleigh, NC, 1998.
30. Gutierrez-Osuna R. Pattern analysis for machine olfaction: a review. IEEE Sens. J. 2(3):2002;189-202.
31. R. Gutierrez-Osuna, H.T. Nagle, B. Kermani, S.S. Schiffman, Signal conditioning and preprocessing, in: T.C. Pearce, S.S. Schiffman, H.T. Nagle, J.W. Gardner (Eds.), Handbook of Machine Olfaction: Electronic Nose Technology, Wiley-VCH, New York, 2002.
32. R.O. Duda, P.E. Hart, D.G. Stork, Pattern Classification, Wiley, New York, 2001.
33. D.E. Courte, M.A. Rizki, L.A. Tamburino, R. Gutierrez-Osuna, Evolutionary optimization of Gaussian windowing functions for data preprocessing, Int. J. Artif. Intell. Tools 12 (1) (2003).