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电子鼻的研究和开发现状 被引量:3

Researching and Developing Status of Electronic Noses
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摘要 本文简要介绍电子鼻的研究和开发现状及应用。 Researching and developing Status of electronic noses as well as their applications are introduced briefly.
出处 《传感器世界》 1999年第8期1-5,27,共6页 Sensor World
关键词 电子鼻 VOC MEMS 模式识别 信号处理 Electronic noses,Volatile organic compounds (VOC),Micro-electromechanical Systems (MEMS),Pattern recognition,Signal Processing
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同被引文献14

  • 1徐毓龙.国外气敏传感器的发展动向[J].传感器世界,1996,2(1):21-28. 被引量:10
  • 2李志坚.微电子机械系统(MEMS)发展展望[J].电子科技导报,1997(1):2-9. 被引量:18
  • 3D. C. Dyer, J. W. Gardner. High-precision intelligent inter- face for a hybrid electronic nose [J]. Sensors and Actuators A, 1997, 62: 724-728.
  • 4G. C. Cardinali, A smart sensor system for carbon monoxide detection [J]. Analog Integrated Circuits and Signal Processing, 1997, 14: 275-296.
  • 5Ederth J, Smulko J M, Kish L B, et al. Comparison of classical and fuctuation-enhanced gas sensing with PdxWO3 nanoparticle rims,[J].Sensors and Actuators B, vol. 2006, 113: 310-315.
  • 6B. K. Min and S. D. Choi, Undoped and 0.1wt% Ca-doped Pt- catalyzed SnO2 sensors for CH4 detection [J], Sensors and Actuators B, 2005, 108:119-124.
  • 7B. Bahrami, A. Khodadadi, M. Kazemeini, and Y. Mortazavi, En- hanced CO sensitivity and selectivity of gold nanoparticles doped SnO2 sensor in presence of propane and methane [J]. Sensors and Actuators B, 2008, 133: 352-356.
  • 8Yoland G. M, Concepcion C O, Jose P P, et al. Electronic nose based on metal oxide semiconductor sensors and pattern recognition techniques: characterization of vegetable oils [J]. Analytica Chimica Acta, 2001, 449:69-80.
  • 9Parekh R, Yang J, Honavar V. Constructive neural-network learning algorithms for pattern classification[J].IEEE Trans. Neural Networks, 2000, 11:436-450.
  • 10徐涛,武国英.微结构气体传感器的研究现状及展望[J].电子科技导报,1999(6):23-28. 被引量:6

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