Evidence map›Paper›PMID 29865242›Full record

ArticleMembranes2018

TEM Tomography of Pores with Application to Computational Nanoscale Flows in Nanoporous Silicon Nitride (NPN).

Gregory Madejski, Kilean Lucas, Flavius C Pascut, Kevin F Webb, James L McGrath

Abstract read
In one paragraph

Article in Membranes, 2018. 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. Article
  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

5 authors.

Gregory MadejskiDepartment of Biomedical Engineering, University of Rochester, Rochester, NY 14627, USA. g.madejski@rochester.edu.
Kilean LucasDepartment of Biomedical Engineering, University of Rochester, Rochester, NY 14627, USA. klucas11@ur.rochester.edu.ORCID 0000-0002-0058-9850
Flavius C PascutDepartment of Electrical & Electronic Engineering, University of Nottingham, Nottingham NG7 2RD, UK. Flavius.Pascut@nottingham.ac.uk.
Kevin F WebbDepartment of Electrical & Electronic Engineering, University of Nottingham, Nottingham NG7 2RD, UK. Kevin.Webb@nottingham.ac.uk.ORCID 0000-0002-0858-304X
James L McGrathDepartment of Biomedical Engineering, University of Rochester, Rochester, NY 14627, USA. jmcgrath@bme.rochester.edu.

Funding

Medical Research Council MC_PC_14121
6 · The paper itself

Abstract

Silicon nanomembrane technologies (NPN, pnc-Si, and others) have been used commercially as electron microscopy (EM) substrates, and as filters with nanometer-resolution size cut-offs. Combined with EM, these materials provide a platform for catching or suspending nanoscale-size structures for analysis. Usefully, the nanomembrane itself can be manufactured to achieve a variety of nanopore topographies. The size, shapes, and surfaces of nanopores will influence transport, fouling, sieving, and electrical behavior. Electron tomography (ET) techniques used to recreate nanoscale-sized structures would provide an excellent way to capture this variation. Therefore, we modified a sample holder to accept our standardized 5.4 mm × 5.4 mm silicon nanomembrane chips and imaged NPN nanomembranes (50⁻100 nm thick, 10⁻100 nm nanopore diameters) using transmission electron microscopy (TEM). After imaging and ET reconstruction using a series of freely available tools (ImageJ, TomoJ, SEG3D2, Meshlab), we used COMSOL Multiphysics™ to simulate fluid flow inside a reconstructed nanopore. The results show flow profiles with significantly more complexity than a simple cylindrical model would predict, with regions of stagnation inside the nanopores. We expect that such tomographic reconstructions of ultrathin nanopores will be valuable in elucidating the physics that underlie the many applications of silicon nanomembranes.

Indexed as

nanomembranesNPNTEMtomography

Identifiers

PMID29865242
PMCPMC6027491

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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.