Robust off-grid analyser for autonomous remote in-situ monitoring of nitrate and nitrite in water
An off-grid, internet-of-things (IoT) connected ion chromatography analyser was developed for the real-time automated measurement of nitrate and nitrite levels in remote surface water applications. The system used KOH eluent with an AG15 guard column to achieve anion separation, in combination with...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-08-01
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| Series: | Talanta Open |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266683192200090X |
| _version_ | 1797811087670771712 |
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| author | Simon Bluett Paul O'Callaghan Brett Paull Eoin Murray |
| author_facet | Simon Bluett Paul O'Callaghan Brett Paull Eoin Murray |
| author_sort | Simon Bluett |
| collection | DOAJ |
| description | An off-grid, internet-of-things (IoT) connected ion chromatography analyser was developed for the real-time automated measurement of nitrate and nitrite levels in remote surface water applications. The system used KOH eluent with an AG15 guard column to achieve anion separation, in combination with a selective 235 nm UV-LED detector. A self-cleaning 3D printed Sediment Trap was developed to filter the sample before analysis, preventing silt and sediment from causing blockages and facilitating robust performance during long-term deployments. Laboratory tests showed reductions of up to 91% of total suspended solids and 61% of turbidity within the sample after a settling time of 5 min. In controlled temperature tests (7 to 40 °C), the average error in the detected concentration levels remained below 5%, indicating robust and repeatable performance of the analyser in varying environmental conditions. Two automated in-situ analysers were deployed at remote locations in West Cork, Ireland, for a period of one month. The deployments successfully demonstrated the capability of the system to detect transient pollution events, facilitating improved water-quality management of remote catchments. The analysers were monitored in real-time using a cellular IoT module and cloud-based dashboard. |
| first_indexed | 2024-03-13T07:17:29Z |
| format | Article |
| id | doaj.art-cf291cb94193436b9104382f77810095 |
| institution | Directory Open Access Journal |
| issn | 2666-8319 |
| language | English |
| last_indexed | 2024-03-13T07:17:29Z |
| publishDate | 2023-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Talanta Open |
| spelling | doaj.art-cf291cb94193436b9104382f778100952023-06-05T04:13:11ZengElsevierTalanta Open2666-83192023-08-017100173Robust off-grid analyser for autonomous remote in-situ monitoring of nitrate and nitrite in waterSimon Bluett0Paul O'Callaghan1Brett Paull2Eoin Murray3Research & Development, Aquamonitrix Ltd., Tullow, Carlow, IrelandLocal Authority Waters Programme (LAWPRO), Inniscarra, Co. Cork, IrelandAustralian Centre for Research on Separation Science (ACROSS), School of Natural Sciences, University of Tasmania, Sandy Bay, Hobart 7001, AustraliaResearch & Development, Aquamonitrix Ltd., Tullow, Carlow, Ireland; Research & Development, T.E. Laboratories Ltd. (TelLab), Tullow, Carlow, Ireland; Corresponding author at: Research & Development, Aquamonitrix Ltd., Tullow, Carlow, Ireland.An off-grid, internet-of-things (IoT) connected ion chromatography analyser was developed for the real-time automated measurement of nitrate and nitrite levels in remote surface water applications. The system used KOH eluent with an AG15 guard column to achieve anion separation, in combination with a selective 235 nm UV-LED detector. A self-cleaning 3D printed Sediment Trap was developed to filter the sample before analysis, preventing silt and sediment from causing blockages and facilitating robust performance during long-term deployments. Laboratory tests showed reductions of up to 91% of total suspended solids and 61% of turbidity within the sample after a settling time of 5 min. In controlled temperature tests (7 to 40 °C), the average error in the detected concentration levels remained below 5%, indicating robust and repeatable performance of the analyser in varying environmental conditions. Two automated in-situ analysers were deployed at remote locations in West Cork, Ireland, for a period of one month. The deployments successfully demonstrated the capability of the system to detect transient pollution events, facilitating improved water-quality management of remote catchments. The analysers were monitored in real-time using a cellular IoT module and cloud-based dashboard.http://www.sciencedirect.com/science/article/pii/S266683192200090XPortableIn-situ water analysisInternet-of-things (IoT)UV light-emitting diodeNitrite and nitrate3D-printing |
| spellingShingle | Simon Bluett Paul O'Callaghan Brett Paull Eoin Murray Robust off-grid analyser for autonomous remote in-situ monitoring of nitrate and nitrite in water Talanta Open Portable In-situ water analysis Internet-of-things (IoT) UV light-emitting diode Nitrite and nitrate 3D-printing |
| title | Robust off-grid analyser for autonomous remote in-situ monitoring of nitrate and nitrite in water |
| title_full | Robust off-grid analyser for autonomous remote in-situ monitoring of nitrate and nitrite in water |
| title_fullStr | Robust off-grid analyser for autonomous remote in-situ monitoring of nitrate and nitrite in water |
| title_full_unstemmed | Robust off-grid analyser for autonomous remote in-situ monitoring of nitrate and nitrite in water |
| title_short | Robust off-grid analyser for autonomous remote in-situ monitoring of nitrate and nitrite in water |
| title_sort | robust off grid analyser for autonomous remote in situ monitoring of nitrate and nitrite in water |
| topic | Portable In-situ water analysis Internet-of-things (IoT) UV light-emitting diode Nitrite and nitrate 3D-printing |
| url | http://www.sciencedirect.com/science/article/pii/S266683192200090X |
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