Evidence map›Paper›PMID 39568800›Full record

ArticlePolymer2023

Dispersion of modified fumed silica in elastomeric nanocomposites.

Ugochukwu Okoli, Kabir Rishi, Gregory Beaucage, Hendrik K Kammler, Alex McGlasson, Michael Chauby, Vishak Narayanan, James Grammens, Vikram K Kuppa

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Polymer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Ugochukwu OkoliChemical & Materials Engineering, University of Cincinnati, Cincinnati, OH, 45221, USA.
Kabir RishiCenters for Disease Control and Prevention, National Institute for Occupational Safety and Health, Cincinnati, OH, 45213, USA.
Gregory BeaucageChemical & Materials Engineering, University of Cincinnati, Cincinnati, OH, 45221, USA.
Hendrik K KammlerNovartis Pharma AG, Postfach, CH-4002, Basel, Switzerland.
Alex McGlassonPolymer Science & Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
Michael ChaubyChemical Engineering, Drexel University, Philadelphia, PA, 19104, USA.
Vishak NarayananReliance Industries Ltd., Elastomer Business Group, Navi Mumbai, Maharashtra, 400701, India.
James GrammensChemical & Materials Engineering, University of Cincinnati, Cincinnati, OH, 45221, USA.
Vikram K KuppaNonstructural Materials Division, University of Dayton Research Institute, Dayton, OH, 45469, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

In polymer nanocomposites, surface modification of silica aggregates can shield Coulombic interactions that inhibit agglomeration and formation of a network of agglomerates. Surface modification is usually achieved with silane coupling agents although carbon-coating during pyrolytic silica production is also possible. Pyrogenic silica with varying surface carbon contents were dispersed in styrene-butadiene (SBR) rubber to explore the impact on hierarchical dispersion, the emergence of meso-scale structures, and the rheological response. Pristine pyrogenic silica aggregates at concentrations above a critical value (related to the Debye screening length) display correlated meso-scale structures and poor filler network formation in rubber nanocomposites due to the presence of silanol groups on the surface. In the present study, flame synthesized silica with sufficient surface carbon monolayers can mitigate the charge repulsion thereby impacting network structural emergence. The impact of the surface carbon on the van der Waals enthalpic attraction,

Identifiers

PMID39568800
PMCPMC11578107

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Registered trials

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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.