Fluorescence optosensor using an artificial neural network for screening of polycyclic aromatic hydrocarbons

Analytica Chimica Acta

Volumn 510, Issue 2, 2004, Pages 183-187

  Fernandez Sanchez J F ^a   Segura Carretero, A ^a   Benitez Sanchez J M ^b   Cruces Blanco, C ^a   Fernandez Gutierrez A ^a  

^a UNIVERSITY OF GRANADA   (Spain)

^b UNIVERSITY OF GRANADA   (Spain)

Author keywords

Artificial neural networks; Fluorescence optosensor; Polycyclic aromatic hydrocarbons; Screening; Water

Indexed keywords

FLUORESCENCE; MIXTURES; NEURAL NETWORKS; PHOTOMULTIPLIERS; POLYCYCLIC AROMATIC HYDROCARBONS; RESINS; TRANSDUCERS;

FEED FORWARD NEURAL NETWORKS; FLUORESCENCE OPTOSENSORS;

OPTICAL SENSORS;

ANTHRACENE; BENZO[A]PYRENE; BENZO[B]FLUORANTHENE; FLUORANTHENE; POLYCYCLIC AROMATIC HYDROCARBON;

AQUEOUS SOLUTION; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOSENSOR; CONTINUOUS FLOW REACTOR; DEVICE; FLUORESCENCE; IMMOBILIZATION; PH; PRIORITY JOURNAL; RACEMIC MIXTURE; SCREENING; TRANSDUCER; WATER SAMPLING;

FORMICIDAE;

EID: 1942504306     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aca.2004.01.012     Document Type: Article

References (31)

1. Fernández Sánchez J.F., Segura Carretero A., Cruces Blanco C., Fernández Gutiérrez A. Anal. Chim. Acta. 462:2002;217.
2. J.M. Costa Fernández, A. Sanz Medel, Chapter X: room temperature phosphorescence optical sensors, in: A. Fernández Gutiérrez, S.G. Schulman (Eds.), Analytical Molecular Phosphorimetry: A Practice Approximation, Editorial Universidad de Granada, Granada, 2001 (in Spanish language).
3. Janata J., Josewick M. Anal. Chem. 70:1998;179R.
4. Tetko I.V., Livingstone D.J., Luik A.I. J. Chem. Inform. Compt. Sci. 35:1995;826-833.
5. Jalali-Heravi M., Fatemi M.H. Anal. Chim. Acta. 415:2000;95-103.
6. Shamsipur M., Hemmateenejad B., Akhond M. Anal. Chim. Acta. 461:2002;147-153.
7. Shamsipur M., Hemmateenejad B., Akhond M. J. AOAC Int. 85:2002;555-562.
8. Kuzmanovski I., Aleksovska S. Chemometr. Intell. Lab. Syst. 67:2003;167-174.
9. Hierlemann A., Weimar U., Kraus G., Gauglitz G., Gopel W. Sensor Mater. 7:1995;179-189.
10. Barron A.R. IEEE Trans. Inform. Theory. 39:1993;930.
11. S.E. Fahlman, Faster-learning variations on back-propagation: an empirical study, in: D. Tourezky, G.E. Hinton, T.J. Sejnowski (Eds.), Proceedings of the 1988 Connectionist Models Summer School, Morgan Kaufmann, San Mateo, CA, 1988, pp. 38-51.
12. Anker S.L., Jurs P.C. Anal. Chem. 64:1992;1157.
13. S. Haykin, Neural Network, Prentice-Hall, Englewood Cliffs/New York, 1994.
14. N.K. Bose, P. Liang, Neural Network, Fundamentals, McGraw-Hill, New York, 1996.
15. Despagne F., Massart D.L. Analyst. 123:1998;157R.
16. Ferrer R., Guiteras J., Beltrán J.L. Anal. Chim. Acta. 384:1999;261.
17. J. Zupan, J. Gasteiger, Neural Networks in Chemistry and Drugs Design, CVH, Weinheim, 1999.
18. Heravi M.J., Parastar F. J. Chromatogr. A. 903:2000;145.
19. Jalali-Heravi M., Garkani-Nejad Z. J. Chromatogr. A. 927:2001;211.
20. Fatemi M.H. J. Chromatogr. A. 955:2002;273.
21. SNNS, Stuttgart Neural Network Simulator, University of Sttutgart/University of Tübingen, Germany, 1989-2002, refer to http://www-ra.informatik.uni-tuebingen.de/SNNS/.
22. Erustes J.A., Andrade-Eiroa A., Cladrea A., Forteza R., Cerdá V. Analyst. 126:2001;451.
23. Nirmaier H.P., Fisher E., Meyer A., Henze G. J. Chromatogr. A. 730:1996;169.
24. Michor G., Carron J., Bruce S., Cancilla D.A. J. Chromatogr. A. 732:1996;85.
25. Mastran T.A., Dietrich A.M., Gallagher D.L., Grizzard T.J. Water Res. 28:1994;2353.
26. Junk G.A., Richard J.J. Anal. Chem. 60:1988;451.
27. Potter D.W., Pawliszyn J. Environ. Sci. Technol. 28:1994;298.
28. Fernández Sánchez J.F., Segura Carretero A., Costa Fernández J.M., Pereiro R., Cruces Blanco C., Sanz Medel A., Fernández Gutiérrez A. Anal. Bioanal. Chem. 377:2003;614-623.
29. C.M. Bishop, Neural Networks for Pattern Recognition, Cambridge University Press, 1995.
30. J. Catalán Lafuente, Química del agua, Librería Editorial Bellisco, Madrid, 1981.
31. European Directive 98/83/EC.