An eNose algorithm for identifying chemicals and determining their concentration

We propose an algorithm for use with multisensor systems that is capable of the following: (a) identify an analyte independently of its concentration; (b) estimate the concentration of the analyte, even if the system was not previously exposed to this concentration; (c) tell when an analyte is of a chemical type not previously presented to the system. The algorithm, based upon recent work of Hopfield, uses the multiplicity of sensors explicitly, and is intuitive and easy to implement. We have tested it against real data, and it exhibits high quality performance. # 2003 Elsevier Science B.V. All rights reserved.

[1]  E. Martinelli,et al.  The evaluation of quality of post-harvest oranges and apples by means of an electronic nose , 2001 .

[2]  J. Wade Davis,et al.  Statistical Pattern Recognition , 2003, Technometrics.

[3]  David R. Walt,et al.  An olfactory neuronal network for vapor recognition in an artificial nose , 1998, Biological Cybernetics.

[4]  A. R. Newman Electronic noses. , 1991, Analytical Chemistry.

[5]  Udo Weimar,et al.  Modular Sensor Systems for Gas Sensing and Odor Monitoring: The MOSES Concept , 1998 .

[6]  Maria Luz Rodriguez-Mendez,et al.  Conducting polymer-based array for the discrimination of odours from trim plastic materials used in automobiles , 2002 .

[7]  Duk-Dong Lee,et al.  Pattern recognition of gas sensor array using characteristics of impedance , 2001 .

[8]  Yuh-Jiuan Lin,et al.  Application of the electronic nose for uremia diagnosis , 2001 .

[9]  R. Negri,et al.  Identification of pollutant gases and its concentrations with a multisensor array , 2001 .

[10]  Xiangqin Cui,et al.  Sensors and Actuators B , 2003 .

[11]  D Harel,et al.  Estimating the size of the olfactory repertoire , 2001, Bulletin of mathematical biology.

[12]  J J Hopfield,et al.  Odor space and olfactory processing: collective algorithms and neural implementation. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[13]  Shu Ji Qin,et al.  A new approach to analyzing gas mixtures , 2001 .

[14]  J W Gardner and P N Bartlett,et al.  Electronic Noses: Principles and Applications , 1999 .