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Instrumentation for the monitoring of toxic pollutants in water resources by means of neural network analysis of absorption and fluorescence spectra

Academic Article
Publication Date:
2007
abstract:
The concentration of several pollutants, usually present in industrialwastewaters, 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.
Iris type:
01.01 Articolo in rivista
Keywords:
Pollutants; Water; Absorption spectroscopy; Fluorescence spectroscopy; Neural network analysis
List of contributors:
Ciaccheri, Leonardo; Mignani, ANNA GRAZIA
Authors of the University:
CIACCHERI LEONARDO
MIGNANI ANNA GRAZIA
Handle:
https://iris.cnr.it/handle/20.500.14243/430554
Published in:
SENSORS AND ACTUATORS. B, CHEMICAL
Journal
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http://scholar.google.it/citations?view_op=view_citation&hl=it&user=gcrCP00AAAAJ&cstart=20&pagesize=100&sortby=pubdate&citation_for_view=gcrCP00AAAAJ:0EnyYjriUFMC
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