Evidence map›Paper›PMID 26166846›Full record

ArticleMacromolecules2015

Kirkwood diffusivity of long semiflexible chains in nanochannel confinement.

Abhiram Muralidhar, Kevin D Dorfman

Abstract read
In one paragraph

Article in Macromolecules, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Nanoplumbing with 2D Metamaterials.Small (Weinheim an der Bergstrasse, Germany) · 2019
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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  9. Article
  10. Finite-size corrections for confined polymers in the extended de Gennes regime.Physical review. E, Statistical, nonlinear, and soft matter physics · 2015
    Article
  11. Article
  12. 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

2 authors.

Abhiram MuralidharDepartment of Chemical Engineering and Materials Science, University of Minnesota -Twin Cities, 421 Washington Avenue SE, Minneapolis, Minnesota 55455, USA.
Kevin D DorfmanDepartment of Chemical Engineering and Materials Science, University of Minnesota -Twin Cities, 421 Washington Avenue SE, Minneapolis, Minnesota 55455, USA.

Funding

Dynamics of DNA Barcoding in NanochannelsR01HG006851 · NHGRI · UNIVERSITY OF MINNESOTA · PI DORFMAN, KEVIN D · 2013 to 2018
$2.1M
NHGRI NIH HHS R01 HG006851
6 · The paper itself

Abstract

We compute the axial diffusivity of asymptotically long semiflexible polymers confined in square channels. Our calculations employ the Kirkwood approximation of the mobility tensor by combining computational fluid dynamics (CFD) calculations of the hydrodynamic tensor in channel confinement with pruned-enriched Rosenbluth method (PERM) simulations of a discrete wormlike chain model. Three key results emerge from our study. First, for the classic de Gennes regime, we confirm that Brochard and de Gennes' blob theory correctly predicts the scaling of the axial diffusivity, contrary to the conclusions of previous analyses. Second, for the extended de Gennes regime, we show that a modified blob theory, which has been used to incorporate the effect of local stiffness on DNA diffusion in nanoslits, explains the deviation from the prediction of classic blob theory for diffusion in nanochannels. Third, we provide a calculation similar to the modified blob theory to explain the relative insensitivity of the diffusivity to channel size for channels between the extended de Gennes regime and the Odijk regime, which is the most relevant regime for experiments and technological applications of DNA confinement in nanochannels. Our results are not only relevant to the dynamics of confined semiflexible polymers such as DNA, but also reveal interesting analogies between confinement in channels and slits.

Identifiers

PMID26166846
PMCPMC4494130

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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.