Evidence map›Paper›PMID 37260744›Full record

ArticleiScience2023

Anomalous diffusion of nanoparticles in the spatially heterogeneous biofilm environment.

Bart Coppens, Tom E R Belpaire, Jiří Pešek, Hans P Steenackers, Herman Ramon, Bart Smeets

Abstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Beyond Bactericidal: Plasma Surface Engineering to Defeat Food Matrix-Conditioning Layers.Comprehensive reviews in food science and food safety · 2026
    Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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.

Bart CoppensDivision of Mechatronics, Biostatistics, and Sensors, KU Leuven, 3001 Leuven, Belgium.
Tom E R BelpaireDivision of Mechatronics, Biostatistics, and Sensors, KU Leuven, 3001 Leuven, Belgium.
Jiří PešekTeam SIMBIOTX, Inria Saclay, 91120 Palaiseau, France.
Hans P SteenackersCentre for Microbial and Plant Genetics, KU Leuven, 3001 Leuven, Belgium.
Herman RamonDivision of Mechatronics, Biostatistics, and Sensors, KU Leuven, 3001 Leuven, Belgium.
Bart SmeetsDivision of Mechatronics, Biostatistics, and Sensors, KU Leuven, 3001 Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofilms contain extracellular polymeric substances (EPS) that provide structural support and restrict penetration of antimicrobial treatment. To overcome limited penetration, functionalized nanoparticles (NPs) have been suggested as carriers for antimicrobial delivery. Using microscopy, we evaluate the diffusion of nanoparticles in function of the structure of Salmonella biofilms. We observe anomalous diffusion and heterogeneous mobility of NPs resulting in distinct NPs distribution that depended on biofilm structure. Through Brownian dynamics modeling with spatially varying viscosity around bacteria, we demonstrated that spatial gradients in diffusivity generate viscous sinks that trap NPs near bacteria. This model replicates the characteristic diffusion signature and vertical distribution of NPs in the biofilm. From a treatment perspective, our work indicates that both biofilm structure and the level of EPS can impact NP drug delivery, where low levels of EPS might benefit delivery by immobilizing NPs closer to bacteria and higher levels hamper delivery due to shielding effects.

Indexed as

NanoparticlesNanoscienceNanotechnology

Identifiers

PMID37260744
PMCPMC10227381

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.