Evidence map›Paper›PMID 33256113›Full record

ArticleMicromachines2020

Joule Heating Effects on Transport-Induced-Charge Phenomena in an Ultrathin Nanopore.

Zhixuan Wang, Wei-Lun Hsu, Shuntaro Tsuchiya, Soumyadeep Paul, Amer Alizadeh, Hirofumi Daiguji

Abstract read
In one paragraph

Article in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Advances in Nanofluidics.Micromachines · 2021
    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.

Zhixuan WangDepartment of Mechanical Engineering, The University of Tokyo, Bunkyo-ku, Tokyo 113-8656, Japan.
Wei-Lun HsuDepartment of Mechanical Engineering, The University of Tokyo, Bunkyo-ku, Tokyo 113-8656, Japan.
Shuntaro TsuchiyaDepartment of Mechanical Engineering, The University of Tokyo, Bunkyo-ku, Tokyo 113-8656, Japan.
Soumyadeep PaulDepartment of Mechanical Engineering, The University of Tokyo, Bunkyo-ku, Tokyo 113-8656, Japan.
Amer AlizadehDepartment of Mechanical Engineering, The University of Tokyo, Bunkyo-ku, Tokyo 113-8656, Japan.ORCID 0000-0001-9578-2313
Hirofumi DaigujiDepartment of Mechanical Engineering, The University of Tokyo, Bunkyo-ku, Tokyo 113-8656, Japan.

Funding

Japan Society for the Promotion of Science 19K15600
6 · The paper itself

Abstract

Transport-induced-charge (TIC) phenomena, in which the concentration imbalance between cations and anions occurs when more than two chemical potential gradients coexist within an ultrathin dimension, entail numerous nanofluidic systems. Evidence has indicated that the presence of TIC produces a nonlinear response of electroosmotic flow to the applied voltage, resulting in complex fluid behavior. In this study, we theoretically investigate thermal effects due to Joule heating on TIC phenomena in an ultrathin nanopore by computational fluid dynamics simulation. Our modeling results show that the rise of local temperature inside the nanopore significantly enhances TIC effects and thus has a significant influence on electroosmotic behavior. A local maximum of the solution conductivity occurs near the entrance of the nanopore at the high salt concentration end, resulting in a reversal of TIC across the nanopore. The Joule heating effects increase the reversal of TIC with the synergy of the negatively charged nanopore, and they also enhance the electroosmotic flow regardless of whether the nanopore is charged. These theoretical observations will improve our knowledge of nonclassical electrokinetic phenomena for flow control in nanopore systems.

Indexed as

electrokineticsJoule heatingnanofluidicstransport-induced-charge

Identifiers

PMID33256113
PMCPMC7761093

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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.