Perez de Vargas-Sansalvador, Isabel M. ORCID: 0000-0002-3666-3231, Fay, Cormac ORCID: 0000-0001-9104-5527, Cleary, John ORCID: 0000-0001-7282-4998, Turner, Geraldine, Nightingale, Adrian, Mowlem, Matthew and Diamond, Dermot ORCID: 0000-0003-2944-4839 (2014) Early warning pollution detection device for application in water quality. In: Early Warning Pollution Detection Device For Application In Water Quality, 27-28 Nov 2014, DCU, Dublin, Ireland.
Abstract
It has been well recognised that water is a valuable resource and the quality of our water systems require sampling at a higher temporal and spatial frequency than is currently taking place. The AQUAWARN project aims to meet this challenge through the development of commercially competitive water quality monitoring devices. These will be capable of performing analytical measurements in situ - primarily aimed at freshwater and wastewater systems. The analytes of interest are mainly phosphate, nitrite, nitrate, and pH.
The initial focus of this project is the assessment and optimisation of appropriate colorimetric chemistries for each sensing target. These chemistries have been developed and optimised using bench-top instrumentation. Integration within microfluidic chips followed to reduce the per sample costs.
Microfluidic technology uses minute amounts of reagent per sample measurement, allowing for a dramatic increase in the number of potential assays per unit volume of reagent. Moreover, the integration of LEDs and photodiodes as light sources and detectors, coupled with syringe pumps, opens the way to new generations of low-cost, portable, and autonomous devices, capable of performing multiple in-situ measurements. For example, an analysis requiring 50 uL of reagent implies 2,000 measurements are possible per 100 mL of reagent.
Metadata
Item Type: | Conference or Workshop Item (Poster) |
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Event Type: | Conference |
Refereed: | Yes |
Subjects: | Physical Sciences > Analytical chemistry Physical Sciences > Chemical detectors Engineering > Electronic engineering Engineering > Environmental engineering Engineering > Mechanical engineering Physical Sciences > Environmental chemistry Engineering > Electronics Physical Sciences > Chemistry |
DCU Faculties and Centres: | Research Initiatives and Centres > INSIGHT Centre for Data Analytics Research Initiatives and Centres > National Centre for Sensor Research (NCSR) |
Published in: | Water: The Greatest Global Challenge. . |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | European Framework Programme 7 |
ID Code: | 20391 |
Deposited On: | 22 Jan 2015 11:03 by Cormac Fay . Last Modified 03 Oct 2018 12:25 |
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