This master thesis explores the possibility to selectively detect sewage intrusion indrinking water with a chemical sensor, the so called electronic tongue. Previouswork in collaboration between Linköping University and Tekniska verken has showna possibility to detect contaminants using the sensors ability to measure currentchanges due to electrochemical properties of the contaminants. This report presentstwo developed algorithms that can detect and alarm if sewage enters the drinkingwater. The algorithms performance is analyzed based on reaction time, stability,detection limit and selectivity. The results indicate that the implementation of thesensor and the algorithm will contribute to real-time monitoring of drinking waterquality and, with it, increase safety for society’s health. Parts of the practical development of these algorithms will be kept confidential in this report for intellectualproperty reasons and the possibility of further development of the system.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-189991 |
| Date | January 2022 |
| Creators | Westerberg, Olov |
| Publisher | Linköpings universitet, Teknisk biologi, Tekniska Verken AB |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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