AffiliationUniversity of Bedfordshire
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AbstractWater quality monitoring requires characterization of a range of organic and inorganic components present within the sample. We present here initial findings in the design of a novel system to detect contaminants by characterizing their characteristic fluorescence fingerprints in a 3-dimensional excitation emission matrix. This is a proof of principle for a system that would then use principal component analysis to diagnose the individual contaminants present in real world samples. A high-resolution fluorescence spectrometer was used to characterize components and potential pollutants in water samples along with samples taken at two different times from the feed into a lake. Several types of fluorescent signals were observed including the commonly used UV `protein-like' fluorescence as well as humic-like or yellow substances fluorescence. Development of this method will lead to a technique that will allow rapid identification of possible contaminants in water samples.
CitationOkache J, Haggett B, Maytum R, Mead A, Rawson D, Ajmal T (2015) 'Sensing fresh water contamination using UV fluorescence methods', SENSORS, 2015 IEEE, IEEE.
TypeConference papers, meetings and proceedings
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/