Evidence map›Paper›PMID 35780187›Full record

ArticleNature communications2022

Structure induced laminar vortices control anomalous dispersion in porous media.

Ankur Deep Bordoloi, David Scheidweiler, Marco Dentz, Mohammed Bouabdellaoui, Marco Abbarchi, Pietro de Anna

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Electrokinetic nanoparticle transport in an interconnected porous environment: Decoupling cavity escape and directional bias.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Inertia-induced mixing and reaction maximization in laminar porous media flows.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. 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

6 authors.

Ankur Deep BordoloiInstitute of Earth Sciences, University of Lausanne, Lausanne, 1015, Switzerland. ankurdeep.bordoloi@unil.ch.ORCID 0000-0001-8314-0065
David ScheidweilerInstitute of Earth Sciences, University of Lausanne, Lausanne, 1015, Switzerland.
Marco DentzSpanish National Research Council (IDAEA-CSIC), Barcelona, 08034, Spain.ORCID 0000-0002-3940-282X
Mohammed BouabdellaouiAix Marseille Univ, Université de Toulon, CNRS, IM2NP, 13397, Marseille, France.
Marco AbbarchiAix Marseille Univ, Université de Toulon, CNRS, IM2NP, 13397, Marseille, France.ORCID 0000-0002-2760-4766
Pietro de AnnaInstitute of Earth Sciences, University of Lausanne, Lausanne, 1015, Switzerland. pietro.deanna@unil.ch.ORCID 0000-0002-1492-5755

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural porous systems, such as soil, membranes, and biological tissues comprise disordered structures characterized by dead-end pores connected to a network of percolating channels. The release and dispersion of particles, solutes, and microorganisms from such features is key for a broad range of environmental and medical applications including soil remediation, filtration and drug delivery. Yet, owing to the stagnant and opaque nature of these disordered systems, the role of microscopic structure and flow on the dispersion of particles and solutes remains poorly understood. Here, we use a microfluidic model system that features a pore structure characterized by distributed dead-ends to determine how particles are transported, retained and dispersed. We observe strong tailing of arrival time distributions at the outlet of the medium characterized by power-law decay with an exponent of 2/3. Using numerical simulations and an analytical model, we link this behavior to particles initially located within dead-end pores, and explain the tailing exponent with a hopping across and rolling along the streamlines of vortices within dead-end pores. We quantify such anomalous dispersal by a stochastic model that predicts the full evolution of arrival times. Our results demonstrate how microscopic flow structures can impact macroscopic particle transport.

Indexed as

FiltrationMicrofluidicsModels, BiologicalPorositySoilSoil

Identifiers

PMID35780187
PMCPMC9250523

What OpenQuestion holds

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LicenceCC BY
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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.