دورية أكاديمية

Robust off-grid analyser for autonomous remote in-situ monitoring of nitrate and nitrite in water

التفاصيل البيبلوغرافية
العنوان: Robust off-grid analyser for autonomous remote in-situ monitoring of nitrate and nitrite in water
المؤلفون: Simon Bluett, Paul O'Callaghan, Brett Paull, Eoin Murray
المصدر: Talanta Open, Vol 7, Iss , Pp 100173- (2023)
بيانات النشر: Elsevier, 2023.
سنة النشر: 2023
المجموعة: LCC:Analytical chemistry
مصطلحات موضوعية: Portable, In-situ water analysis, Internet-of-things (IoT), UV light-emitting diode, Nitrite and nitrate, 3D-printing, Analytical chemistry, QD71-142
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2666-8319
94193436
Relation: http://www.sciencedirect.com/science/article/pii/S266683192200090X; https://doaj.org/toc/2666-8319
DOI: 10.1016/j.talo.2022.100173
URL الوصول: https://doaj.org/article/cf291cb94193436b9104382f77810095
رقم الأكسشن: edsdoj.f291cb94193436b9104382f77810095
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:26668319
94193436
DOI:10.1016/j.talo.2022.100173