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Progress in bionic information processing techniques for an electronic nose based on olfactory models

  • Review/Bionic Engineering
  • Published:
Chinese Science Bulletin

Abstract

As a novel bionic analytical technique, an electronic nose, inspired by the mechanism of the biological olfactory system and integrated with modern sensing technology, electronic technology and pattern recognition technology, has been widely used in many areas. Moreover, recent basic research findings in biological olfaction combined with computational neuroscience promote its development both in methodology and application. In this review, the basic information processing principle of biological olfaction and artificial olfaction are summarized and compared, and four olfactory models and their applications to electronic noses are presented. Finally, a chaotic olfactory neural network is detailed and the utilization of several biologically oriented learning rules and its spatiotemporal dynamic propties for electronic noses are discussed. The integration of various phenomena and their mechanisms for biological olfaction into an electronic nose context for information processing will not only make them more bionic, but also perform better than conventional methods. However, many problems still remain, which should be solved by further cooperation between theorists and engineers.

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Author information

Authors and Affiliations

  1. State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, China

    Guang Li

  2. Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China

    Jun Fu

  3. Sir Run Run Shaw Hospital, Affiliated with the School of Medicine, Zhejiang University, Hangzhou, 310016, China

    Jia Zhang

  4. Faculty of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, 310018, China

    JunBao Zheng

Authors
  1. Guang Li
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  2. Jun Fu
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  3. Jia Zhang
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  4. JunBao Zheng
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Corresponding author

Correspondence to Guang Li.

Additional information

Supported by the National Creative Research Groups Science Foundation of China (Grant No. 60421002) and National Basic Research Programme of China (Grant No. 2004CB720302)

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Li, G., Fu, J., Zhang, J. et al. Progress in bionic information processing techniques for an electronic nose based on olfactory models. Chin. Sci. Bull. 54, 521–534 (2009). https://doi.org/10.1007/s11434-008-0591-z

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  • DOI: https://doi.org/10.1007/s11434-008-0591-z

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