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https://hdl.handle.net/20.500.14279/1918| Τίτλος: | Instrumentation for the monitoring of toxic pollutants in water resources by means of neural network analysis of absorption and fluorescence spectra | Συγγραφείς: | Kuzniz, Tal Halot, D. Mignani, Anna Grazia Ciaccheri, Leonardo Kalli, Kyriacos Tur, Moshe Othonos, Andreas S. Christofidès, Constantinos Jackson, David A. |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Λέξεις-κλειδιά: | Pollutants Water;Absorption spectroscopy;Fibre optics;Sensor;Fluorescence spectroscopy;Neural network analysis | Ημερομηνία Έκδοσης: | 30-Ιαν-2007 | Πηγή: | Sensors and Actuators B: Chemical, 2007, vol. 121, no. 1, pp. 231-237 | Volume: | 121 | Issue: | 1 | Start page: | 231 | End page: | 237 | Περιοδικό: | Sensors and Actuators B: Chemical | Περίληψη: | The concentration of several pollutants, usually present in industrial waste waters, is predicted by the neural network data processing of absorption and fluorescence measurements in the visible spectral range. Proper network training provides quantitative analysis of many pollutants with sub-ppm resolution. Compact optical fibre instrumentation for absorption spectroscopy and an innovative flowcell for fluorescence measurements enable cost-effective, in situ, nonstop monitoring of waste waters. | URI: | https://hdl.handle.net/20.500.14279/1918 | ISSN: | 9254005 | DOI: | 10.1016/j.snb.2006.09.012 | Rights: | © Elsevier | Type: | Article | Affiliation: | Tel Aviv University University of Kent at Canterbury CNR - National Research Council of Italy University of Cyprus |
Publication Type: | Peer Reviewed |
| Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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