Classification of the strain and growth phase of cyanobacteria in potable water using an electronic nose system

IEE Proceedings: Science, Measurement and Technology

Volumn 147, Issue 4, 2000, Pages 158-164

  Shin, E ^a   Liobet, J W ^a   Gardner, E L ^a,b   Hines, C S ^a,b   Dow, ^a,b  

^a UNIVERSITY OF WARWICK   (United Kingdom)

^b UNIVERSITAT ROVIRA I VIRGILI   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BACTERIA; FUZZY SETS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MULTILAYER NEURAL NETWORKS; POTABLE WATER; STATISTICAL METHODS; TOXIC MATERIALS; VECTOR QUANTIZATION;

CYANOBACTERIA; ELECTRONIC NOSE SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

BIOSENSORS;

EID: 0033721694     PISSN: 13502344     EISSN: None     Source Type: Journal    
DOI: 10.1049/ip-smt:20000422     Document Type: Article

References (16)

1. YAMAZOE, N., and MIURA, N.: 'Environmental cas sensing', Sais. Actuators B, 1994, 20, pp. 95-102
2. CARMICHAEL, W.W.: 'The toxins of cynanobacteria', Sci. Am., January 1994, pp. 64-12
3. CARMICHAEL, W.W.: 'Cyanobacteria secondary metabolites - the cyanotoxins', J. Appl. Bacler., 1992, 72, pp. 445-459
4. CODD, O.A., and BELL, S.G.: 'The occurrence and fate of bluecrcen alsal toxins in freshwater'. University of Dundee, R&D report 29, 1996
5. GARDNER, J.W., and BARTLETT, P.N.: 'Sensors and sensory systems for an electronic nose' (Dordrecht, Kluwer, 1992, 1st edn.)
6. CRAVEN, M.A., MINES, E.L., GARDNER, J.W., MORGAN, P., MORGAN, D., and ENE, I.A.: 'Bacteria detection and classification using artificial neural networks in conjunction llith an electronic nose'. Proceedings of international conference on Neural networks and experts systems in medicine and healtlicare, University of Plymouth, UK, 1994, pp. 226-234
7. GIBSON, T.D., PROSSER, O.J., MULBERT, N., MARSHALL, R.W., CORCORAN, P., LOWERY, P., and RUCK-KEENE, E.A.: 'Detection and simultaneous identification of microorganisms from hcadspace samplings using an electronic nose'. Proceedings of Eurosensors X, Leuven, Belgium, September 1996, pp. 1341-1344
8. GARDNER, J.W., MINES, B.L., and WILKINSON, M.: 'The application of neural networks to an electronic nose', Meas. Sci. Technol., 1990, 1, pp. 446-451
9. SAKURABA, Y., NAKAMOTO, T., and MORIIZUMI, T.: 'New method of learning vector quantization usina fuzzy theory', System Cuinpttt. Japan, 1991, 22, pp. 93-103
10. CASTENHOLZ, R.W.: 'Methods in enzymoloey' (Academic Press, 1988)
11. CRAVEN, M.: 'Bacteria classification with an electronic nose employin artificial neural networks'. PhD thesis, University of Warwick, UIC, 1997
12. GARDNER, J.W.: 'Detection of vapours and odours from a multisensor array using pattern recognition. Part 1: Principal components and cluster analysis', Sens. Actuators B, 1991,4, pp. 109-116
13. GARDNER, J.W. SMURMER, U.V., and TAN, T.T.: 'Application of an electronic nose to the discrimination of coffee', Sens. Actuators B. I992, 6, pp. 71-75
14. MORRISON, S.: 'Semiconductor gas sensors', Sens. Actuators, 1982, 2, pp. 329-341
15. HORNER, G., and HIEROLD, C: 'Gas analysis by partial model building', Sens. Actuators B, 1990, 2, pp. 173-184
16. NeuralWorks Professional IlTIus: Reference guide, NeuralWare Inc, Pittsburgh, USA, 1995