| Autor: |
David M. Rawson, Robin Maytum, Tahmina Ajmal, Barry G. D. Haggett, Julius Okache, Andrew Mead |
| Rok vydání: |
2015 |
| Předmět: |
|
| Zdroj: |
2015 IEEE SENSORS. |
| DOI: |
10.1109/icsens.2015.7370462 |
| Popis: |
Water 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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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