Evidence map›Paper›PMID 22878680›Full record

ArticleAnnals of biomedical engineering2013

Nanoparticle deposition onto biofilms.

J K Miller, R Neubig, C B Clemons, K L Kreider, J P Wilber, G W Young, A J Ditto, Y H Yun, A Milsted, H T Badawy and 3 more

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

13 authors.

J K MillerDepartment of Mathematics, University of Akron, Akron, OH 44325-4002, USA.
R Neubig
C B Clemons
K L Kreider
J P Wilber
G W Young
A J Ditto
Y H Yun
A Milsted
H T Badawy
M J Panzner
W J Youngs
C L Cannon

Funding

Collaborative Research: Polymeric Drug Delivery Systems and Biofilms in the LungR01GM086895 · NIGMS · UNIVERSITY OF AKRON · PI YOUNG, GERALD W · 2008 to 2011
$1.5M
NIGMS NIH HHS R01 GM086895NIGMS NIH HHS R01GM086895
6 · The paper itself

Abstract

We develop a mathematical model of nanoparticles depositing onto and penetrating into a biofilm grown in a parallel-plate flow cell. We carry out deposition experiments in a flow cell to support the modeling. The modeling and the experiments are motivated by the potential use of polymer nanoparticles as part of a treatment strategy for killing biofilms infecting the deep passages in the lungs. In the experiments and model, a fluid carrying polymer nanoparticles is injected into a parallel-plate flow cell in which a biofilm has grown over the bottom plate. The model consists of a system of transport equations describing the deposition and diffusion of nanoparticles. Standard asymptotic techniques that exploit the aspect ratio of the flow cell are applied to reduce the model to two coupled partial differential equations. We perform numerical simulations using the reduced model. We compare the experimental observations with the simulation results to estimate the nanoparticle sticking coefficient and the diffusion coefficient of the nanoparticles in the biofilm. The distributions of nanoparticles through the thickness of the biofilm are consistent with diffusive transport, and uniform distributions through the thickness are achieved in about four hours. Nanoparticle deposition does not appear to be strongly influenced by the flow rate in the cell for the low flow rates considered.

Indexed as

BiofilmsDrug Delivery SystemsModels, TheoreticalChitosanDiffusionLungMucusNanoparticlesOrganophosphatesPolyethylene GlycolsPolymersPseudomonas aeruginosaChitosanOrganophosphatesPEG-graft-trimethyl-chitosan copolymerPolyethylene GlycolsPolymerstyrosine polyphosphate

Identifiers

PMID22878680
PMCPMC3524401

What OpenQuestion holds

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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.