Evidence map›Paper›PMID 42405231›Full record

ArticleMethodsX2026

Sorbent-coated metal discs for time-integrated VOC sampling: A reproducible workflow coupled to SPME-GC/MS.

Robert Lundberg, Thomas Lundeberg, Johan Lundeberg, Johan Dahlén

Abstract read
In one paragraph

Article in MethodsX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

4 authors.

Robert LundbergChromalytica AB, Ullared, SE-311 61, Sweden.
Thomas LundebergDepartment of Physiology and Pharmacology, Karolinska Institutet and Sabbatsbergssjukhus, Stockholm, SE-182 57, Sweden.
Johan LundebergDepartment of Clinical Physiology, Skanes universitetssjukhus Lund, Lund, Skåne, Sweden.
Johan DahlénDepartment of Physics, Chemistry and Biology, Linköping University, Linköping, SE-581 83, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe a time-integrated platform based on sorbent-coated metal discs, formalized as a configurable architecture for VOC enrichment prior to gas chromatography/mass spectrometry (GC/MS) via secondary re-adsorption onto a solid-phase microextraction (SPME) fiber. A reproducible fabrication, conditioning, sampling, desorption, and re-adsorption protocol is specified, with a sorbent loading of approximately 0.2 g per 3.6 cm disc and sampling durations of 60 min. Across standard analysis replicates, the disc workflow produced higher GC/MS peak areas than direct SPME for most of the analytes, with reduced response for highly volatile compounds such as acetone. To explain this volatility-dependent behavior, we introduce a mass-transport competition framework in which the measurable signal is governed by the product of accumulated analyte mass and transfer efficiency, S = M_ads × η_transfer. The framework distinguishes the capacity-driven platform from equilibrium-based SPME. The described workflow is solvent-free, low-waste, reusable, and compatible with routine GC/MS instrumentation. Method overview:•Sorbent discs are prepared by covering a metal plate with a layer of sorbent material using a silicon adhesive.•Conditioned sorbent discs can be exposed to any gaseous samples.•Sorbent discs are heated to desorb the enriched VOCs that are subsequently re-adsorbed onto an SPME fiber to enable GC/MS analysis.

Indexed as

Breath analysisCarbopack XGC/MSHeadspaceRe-adsorptionTime-integrated samplingVOC

Identifiers

PMID42405231
PMCPMC13329564

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.