分析器
环境科学
硝酸盐
浊度
遥感
水质
原位
亚硝酸盐
实时计算
计算机科学
化学
地质学
色谱法
生物
海洋学
有机化学
生态学
作者
Simon Bluett,P.W. O’Callaghan,Brett Paull,Eoin Murray
出处
期刊:Talanta open
[Elsevier BV]
日期:2022-12-06
卷期号:7: 100173-100173
被引量:9
标识
DOI:10.1016/j.talo.2022.100173
摘要
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 minutes. 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.
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