Evidence map›Paper›PMID 30846858›Full record

ArticleScientific reports2019

Selective Atomic-Level Etching on Short S-Glass Fibres to Control Interfacial Properties for Restorative Dental Composites.

Kiho Cho, Guannan Wang, Raju, Jian Fang, Ginu Rajan, Martina H Stenzel, Paul Farrar, B Gangadhara Prusty

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

8 authors.

Kiho ChoSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW, 2052, Australia. kiho.cho@student.unsw.eud.au.
Guannan WangSchool of Chemistry, University of New South Wales, Sydney, NSW, 2052, Australia.
RajuSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.
Jian FangInstitute for Frontier Materials, Deakin University, Geelong, VIC, 3220, Australia.
Ginu RajanSchool of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, 2522, Australia.
Martina H StenzelSchool of Chemistry, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0000-0002-6433-4419
Paul FarrarSDI Limited, VIC, 3153, Bayswater, Australia.
B Gangadhara PrustySchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW, 2052, Australia. g.prusty@unsw.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interfacial bonding between fibre and matrix is most critical to obtain enhanced mechanical properties of the resulting composites. Here we present a new surface tailoring method of selective wet etching and organosilicon monomers (3-(Trimethoxysilyl) propyl methacrylate, TMSPMA) deposition process on the short S-Glass fibre as a reinforcing material, resulting in increased mechanical retention and strong chemical bonding between glass fibres and polymer resin (a mixture of triethylene glycol dimethacrylate (TEGDMA) and urethane dimethacrylate (UDMA) monomers). The effect of surface modification on fibre matrix interfacial strength was investigated through microdroplet tests. An S-Glass fibre treated with piranha solution (a mixture of H

Indexed as

Composite ResinsGlassDental BondingDental EtchingDental Restoration, PermanentDental Stress AnalysisFlexural StrengthHumansSurface PropertiesComposite Resinsfiberglass

Identifiers

PMID30846858
PMCPMC6405923

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.