Evidence map›Paper›PMID 40065536›Full record

ArticleJournal of the American Society for Mass Spectrometry2025

Headspace Injection Method for Intermittent Sampling and Profiling Analyses of Volatile Organic Compounds Using Dielectric Barrier Discharge Ionization (DBDI).

Daniel Heffernan, Frederik Oleinek, Ayla Schueler, Paak Wai Lau, Jürgen Kudermann, Alina Meindl, Mathias O Senge, Nicole Strittmatter

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2025. 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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0cells of the map it votes in
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

8 authors.

Daniel HeffernanDepartment of Biosciences, TUM School of Natural Sciences, Technical University of Munich (TUM), 85748 Garching, Germany.
Frederik OleinekDepartment of Biosciences, TUM School of Natural Sciences, Technical University of Munich (TUM), 85748 Garching, Germany.
Ayla SchuelerDepartment of Biosciences, TUM School of Natural Sciences, Technical University of Munich (TUM), 85748 Garching, Germany.
Paak Wai LauDepartment of Biosciences, TUM School of Natural Sciences, Technical University of Munich (TUM), 85748 Garching, Germany.
Jürgen KudermannCatalysis Research Centre (CRC), Technical University of Munich (TUM), 85748 Garching, Germany.
Alina MeindlDepartment of Design and Green Engineering, Salzburg University of Applied Sciences, 5438 Kuchl, Austria.
Mathias O SengeInstitute for Advanced Study (TUM-IAS), Technical University of Munich (TUM), 85748 Garching, Germany.
Nicole StrittmatterDepartment of Biosciences, TUM School of Natural Sciences, Technical University of Munich (TUM), 85748 Garching, Germany.ORCID 0000-0003-1277-9608

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A direct headspace injection method is presented and optimized for the analysis of volatile organic compounds (VOCs) using dielectric barrier discharge ionization-mass spectrometry (DBDI-MS), incorporating an intermediate vial in which the sample headspace is injected. The setup is built of commonly available, cheap consumable parts and easily enables the incorporation of different gases for generating different ionization atmospheres. The method can be fully automated by using standard GC autosamplers, and its rapid analysis time is suitable for high-throughput applications. We show that this method is suitable for both profiling analysis of complex samples such as biofluids and quantitative measurements for real-time reaction monitoring. Our optimized method demonstrated improved reproducibility and sensitivity, with detection limits for compounds tested in the high nanomolar to the low micromolar range, depending on the compound. Key parameters for method optimization were identified such as sample vial volume, headspace-to-liquid ratio, incubation temperature, and equilibration time. These settings were systematically evaluated to maximize the signal intensity and improve repeatability between measurements. Two use cases are demonstrated: (i) quantitative measurement of ethanol production by a metal-organic framework from CO

Identifiers

PMID40065536
PMCPMC11969650

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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.