Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/1155
Title: Instrumentation for the monitoring of toxic pollutants in water resources by means of neural network analysis of absorption and fluorescence spectra
Authors: 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
Keywords: Pollutants Water;Absorption spectroscopy;Fibre optics;Sensor;Fluorescence spectroscopy;Neural network analysis
Issue Date: 30-Jan-2007
Source: Sensors and Actuators B: Chemical, 2007, vol. 121, no. 1, pp. 231-237
Volume: 121
Issue: 1
Start page: 231
End page: 237
Journal: Sensors and Actuators B: Chemical 
Abstract: 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.
ISSN: 0925-4005
DOI: 10.1016/j.snb.2006.09.012
Rights: © Elsevier
Type: Article
Affiliation : Tel Aviv University 
University of Kent at Canterbury 
CNR Institute 
University of Cyprus 
Appears in Collections:Άρθρα/Articles

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