Evidence map›Paper›PMID 42288988›Full record

ArticleRapid communications in mass spectrometry : RCM2026

A New Approach to the Analysis of Dissolved Gases Using Passive Samplers, With Portable Mass Spectrometry and Gas Chromatography Techniques.

Antoine Picard, Florent Barbecot, Matéo Lacheux, Matthias S Brennwald, José A Corcho-Alvarado

Abstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Antoine PicardChaire UNESCO Changements Environnementaux à l'Échelle du Globe, Université du Québec à Montréal, Montréal, Canada.
Florent BarbecotChaire UNESCO Changements Environnementaux à l'Échelle du Globe, Université du Québec à Montréal, Montréal, Canada.
Matéo LacheuxChaire UNESCO Changements Environnementaux à l'Échelle du Globe, Université du Québec à Montréal, Montréal, Canada.
Matthias S BrennwaldTracer Lab and Environmental Isotopes Group, Department of Water Resources and Drinking Water, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
José A Corcho-AlvaradoNuclear Chemistry Division, Spiez Laboratory, Federal Office for Civil Protection, Austrasse, Spiez, Switzerland.

Funding

Natural Sciences and Engineering Research Council of Canada RGPIN-2020-05552
6 · The paper itself

Abstract

rationalePortable mass spectrometry systems such as miniRUEDI enable rapid and low-cost field analysis of dissolved gases with high temporal resolution. However, they remain poorly suited for discrete small-volume water samples. This study presents an approach based on passive sampling for groundwater and surface waters dissolved gases and gas tracer analyses.

methodsPassive samplers (≈25 mL) were deployed in near-air-saturated water for several days to equilibrate with dissolved gases. After retrieval and locking, gas samples were analysed in the laboratory using the miniRUEDI portable mass spectrometry combined with gas chromatography-electron capture detection (GC-ECD).

resultsThe combined miniRUEDI and GC-ECD approach enabled reliable and simultaneous measurements of major gases (N

conclusionsThis method extends portable mass spectrometry to discrete low-volume water samples and facilitates the use of transient anthropogenic gas tracers for determining young groundwater ages (< 70 years). Its simplicity, low cost and multi-gas capability also make it promising for tracer plume mapping and environmental monitoring applications.

Indexed as

artificial tracersdissolved noble gasesminiRUEDIreusable passive samplers

Identifiers

PMID42288988
PMCPMC13264967

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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.