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Fully automated, low-cost ion chromatography system for in-situ analysis of nitrite and nitrate in natural waters

Citation

Murray, E and Roche, P and Briet, M and Moore, B and Morrin, A and Diamond, D and Paull, B, Fully automated, low-cost ion chromatography system for in-situ analysis of nitrite and nitrate in natural waters, Talanta, 216 Article 120955. ISSN 0039-9140 (2020) [Refereed Article]

Copyright Statement

2020 Elsevier B.V. All rights reserved.

DOI: doi:10.1016/j.talanta.2020.120955

Abstract

A cost-effective, automated and portable IC has been developed for in-situ analysis of nitrite and nitrate in natural waters. The system employed 3D printed pumps for eluent delivery and a deep-UV LED based optical detector. Isocratic separation and selective detection of nitrite and nitrate was achieved in under 3 min. The total weight of the analyser was ~11 kg, and included electronics along with a sample intake system for automated analysis. Linear calibration ranges were generated using different sample injection loops. Using a 150 uL loop, an analytical range (0.05-30 mg L-1 NO2-, 0.10-75 mg L-1 NO3-) suitable for freshwater analysis was generated, while using a 10 uL loop an analytical range (0.30-100 mg L-1 NO2-, 2.5-500 mg L-1 NO3-) suitable for effluent and domestic wastewater analysis was achieved. Chromatographic repeatability demonstrated by the system is graphically presented and RSD values of <4% were obtained in terms of peak area and retention time over 82 sequential runs. The system was deployed in-situ at multiple sites for varying deployment periods analysing septic tank water, effluent from a waste water treatment plant and stream water. The data generated by the in-situ system were comparable to grab sample data generated by accredited laboratory instrumentation.

Item Details

Item Type:Refereed Article
Keywords:Ion chromatography, portable, nutrients, water analysis, UV light-emitting diode, nitrate
Research Division:Chemical Sciences
Research Group:Analytical chemistry
Research Field:Separation science
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the chemical sciences
UTAS Author:Paull, B (Professor Brett Paull)
ID Code:152533
Year Published:2020
Web of Science® Times Cited:33
Deposited By:Research Performance and Analysis
Deposited On:2022-08-20
Last Modified:2022-09-15
Downloads:0

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