Diamond, Dermot ORCID: 0000-0003-2944-4839 (2023) In-situ sensing of water Quality parameters using low-cost autonomous analysers: opportunities and challenges. In: Invited Lecture, University of Granada Sensors Research Group, 11 Oct 2023, Granada, Spain.
Abstract
The delivery of platforms that can provide access to good quality analytical information on the chemical/biological status of water at an acceptable cost remains a formidable challenge, despite considerable efforts from the research community over many years. The relatively high cost of autonomous analytical platforms means that measurement frequency and spatial density is much lower than desirable, and this in turn is a significant barrier to developing a clearer understanding of environmental status, processes, and dynamics, and to the effective policing of environmental regulation.
However, recent advances in satellite remote sensing and drone-based measurements present opportunities to capture water status data with unprecedented spatial and temporal coverage. The availability of autonomous instruments that provide continuous in-situ data provides complementary information that in a sense completes the requirements for a more complete environmental informatics coverage in that these devices can provide molecular information on related to key determinants of water chemical and biological status.
In this paper, I will outline the challenges that have up to now inhibited the emergence of low-cost, reliable, autonomous biochemical analysers, and explain how developments in rapid prototyping, microfluidics and detection schemes is providing routes to surmounting these challenges.
Metadata
Item Type: | Conference or Workshop Item (Invited Talk) |
---|---|
Event Type: | Other |
Refereed: | No |
Uncontrolled Keywords: | Environmental monitoring; marine water; waste water; fresh water |
Subjects: | Biological Sciences > Biosensors Biological Sciences > Microfluidics Physical Sciences > Analytical chemistry Physical Sciences > Electrochemistry |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Science and Health > School of Chemical Sciences Research Institutes and Centres > National Centre for Sensor Research (NCSR) Research Institutes and Centres > INSIGHT Centre for Data Analytics |
Funders: | Science Foundation Ireland, Enterprise Ireland, EU H2020 Framework programme |
ID Code: | 29132 |
Deposited On: | 13 Oct 2023 08:33 by Dermot Diamond . Last Modified 13 Oct 2023 08:33 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Creative Commons: Attribution-Noncommercial-Share Alike 4.0 7MB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record