Evidence map›Paper›PMID 42796533›Full record

ArticleMolecules (Basel, Switzerland)2026

Migration of Vapor Molecules in Soils.

Olga Kudryashova, Vladimir Gruznov, Andrey Kikhtenko, Alexander Vorozhtsov

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 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
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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

4 authors.

Olga KudryashovaFaculty of Physics and Engineering, Tomsk State University, 634050 Tomsk, Russia.ORCID 0000-0002-0404-8736
Vladimir GruznovTrofimuk Institute of Petroleum Geology and Geophysics of Siberian Branch Russian Academy of Sciences, 630090 Novosibirsk, Russia.ORCID 0000-0002-7903-3096
Andrey KikhtenkoTrofimuk Institute of Petroleum Geology and Geophysics of Siberian Branch Russian Academy of Sciences, 630090 Novosibirsk, Russia.
Alexander VorozhtsovFaculty of Physics and Engineering, Tomsk State University, 634050 Tomsk, Russia.

Funding

The Ministry of Education and Science of the Russian Federation 075-15-2025-607
6 · The paper itself

Abstract

Molecular transport of low-volatility organic vapors through unsaturated porous media is governed by the coupled effects of diffusion, sorption, and pore structure, yet the relative roles of these processes remain insufficiently quantified. In this work, we develop a physics-based model describing vapor migration from a subsurface source to the soil surface by explicitly accounting for moisture-dependent sorption, air-filled porosity, and pore clogging by fine particles. The model predicts that soil moisture affects vapor transport through two competing mechanisms: thin water films progressively suppress gas-solid sorption, thereby increasing the effective diffusion coefficient, whereas further wetting reduces the connectivity of air-filled pores and ultimately blocks gas-phase transport. As a consequence, vapor migration exhibits a non-monotonic dependence on soil moisture, with a distinct optimum for surface vapor flux. The model further predicts that fine particles substantially decrease vapor transport by reducing pore connectivity, while lower temperatures suppress migration through both reduced molecular diffusivity and enhanced sorption. Laboratory experiments using representative low-volatility energetic compounds through sand with controlled moisture content and particle composition confirmed all major qualitative predictions of the model, including enhanced transport at intermediate moisture, suppression under dry, dusty and highly saturated conditions, and strong temperature dependence. Although energetic compounds were used as representative low-volatility substances, the proposed framework is generally applicable to molecular transport of trace organic vapors in unsaturated porous media and provides a quantitative basis for predicting environmental conditions under which subsurface sources can be detected by surface vapor measurements.

Indexed as

effective diffusionenvironmental monitoringlow-volatility organic compoundsmolecular transportpore structuresoil moisturesorptionunsaturated porous mediavapor diffusion

Identifiers

PMID42796533
PMCPMC13609820

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