Evidence map›Paper›PMID 40259533›Full record

ArticleJournal of separation science2025

Measuring Nitrite and Nitrate in Rain and River Water Samples Using a Portable Ion Chromatograph in Step-gradient Mode and High Sensitivity Detection Flow Cell.

Yonglin Mai, Kurt Debruille, Ibraam Mikhail, Vipul Gupta, Eoin Murray, Roman Frantsuzov, Brett Paull

Abstract read
In one paragraph

Article in Journal of separation science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yonglin MaiAustralian Centre for Research on Separation Science, School of Natural Sciences (Chemistry), University of Tasmania, Hobart, Australia.
Kurt DebruilleAustralian Centre for Research on Separation Science, School of Natural Sciences (Chemistry), University of Tasmania, Hobart, Australia.
Ibraam MikhailAustralian Centre for Research on Separation Science, School of Natural Sciences (Chemistry), University of Tasmania, Hobart, Australia.
Vipul GuptaAustralian Centre for Research on Separation Science, School of Natural Sciences (Chemistry), University of Tasmania, Hobart, Australia.
Eoin MurrayResearch & Development, Aquamonitrix Ltd., Tullow, Ireland.
Roman FrantsuzovResearch & Development, Aquamonitrix Ltd., Tullow, Ireland.
Brett PaullAustralian Centre for Research on Separation Science, School of Natural Sciences (Chemistry), University of Tasmania, Hobart, Australia.ORCID https://orcid.org/0000-0001-6373-0658

Funding

Australian Research Council LP200200394
6 · The paper itself

Abstract

With the increasing environmental pollution issues, there is a growing need for sensitive and real-time monitoring of pollutants. Nitrite and nitrate are common nutrients that are related to water quality. This study aims to enhance nitrate and nitrite detection capabilities using a portable ion chromatography-based nutrient analyzer, Aquamonitrix. By optimizing it for ultra-low detection limits (LODs), we address challenges in environmental water quality assessment in Tasmania, Australia. Using step-gradient mode with a stereolithography three-dimensional printed flow cell with a 5 cm optical path length, a 300 µL injection loop, and 60 mM KOH as eluent, LODs of 0.004 µg/mL for nitrite and 0.023 µg/mL for nitrate were achieved. Further improving to 0.008 µg/mL for nitrate with a 10 cm optical path length flow cell and 120 mM NaCl as eluent. A repeatability assessment over 84 automatic runs showed a relative standard deviation under 1.42% for peak area and 0.49% for retention time. The system demonstrated tolerance to salinity, handling up to 5 parts per thousand in artificial seawater. Comparative analysis of environmental samples revealed that nitrate levels in Tasmanian rainwater were five times lower than in Ireland. An average concentration of 2.08 µg/mL nitrate was found in Tamar River samples, aligning with local commercial lab data. Real-time, on-site analysis along the Derwent River detected an average nitrate concentration of 0.17 µg/mL. Validation against conventional standard ion chromatography showed no significant differences (p > 0.05), underscoring Aquamonitrix's robustness for field-based water quality monitoring. A 5-day deployment of Aquamonitrix further demonstrated the system's reliability under significant temperature fluctuations between day and night.

Indexed as

NitratesNitritesRainRiversWater Pollutants, ChemicalChromatography, Ion ExchangeEnvironmental MonitoringLimit of DetectionNitratesNitritesWater Pollutants, Chemicalhigh sensitivity | nitrate | nitrite | portable ion chromatograph | real‐time onsite analysis

Identifiers

PMID40259533
PMCPMC12012291

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.