Evidence map›Paper›PMID 30179514›Full record

ArticleACS nano2018

Breaking the Nanoparticle Loading-Dispersion Dichotomy in Polymer Nanocomposites with the Art of Croissant-Making.

Giovanni Santagiuliana, Olivier T Picot, Maria Crespo, Harshit Porwal, Han Zhang, Yan Li, Luca Rubini, Samuele Colonna, Alberto Fina, Ettore Barbieri and 7 more

Abstract read
In one paragraph

Article in ACS nano, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

17 authors.

Giovanni SantagiulianaSchool of Engineering and Materials Science , Queen Mary University of London , Mile End Road , London E1 4NS , United Kingdom.
Olivier T PicotSchool of Engineering and Materials Science , Queen Mary University of London , Mile End Road , London E1 4NS , United Kingdom.
Maria CrespoSchool of Engineering and Materials Science , Queen Mary University of London , Mile End Road , London E1 4NS , United Kingdom.
Harshit PorwalSchool of Engineering and Materials Science , Queen Mary University of London , Mile End Road , London E1 4NS , United Kingdom.
Han ZhangSchool of Engineering and Materials Science , Queen Mary University of London , Mile End Road , London E1 4NS , United Kingdom.ORCID http://orcid.org/0000-0002-0479-224X
Yan LiSchool of Engineering and Materials Science , Queen Mary University of London , Mile End Road , London E1 4NS , United Kingdom.ORCID http://orcid.org/0000-0003-2503-1287
Luca RubiniLaboratory of Bio-inspired & Graphene Nanomechanics, Department of Civil, Environmental and Mechanical Engineering , University of Trento , Via Mesiano 77 , 38123 Trento , Italy.
Samuele ColonnaDipartimento di Scienza Applicata e Tecnologia , Politecnico di Torino , 15121 Alessandria , Italy.ORCID http://orcid.org/0000-0002-6409-227X
Alberto FinaDipartimento di Scienza Applicata e Tecnologia , Politecnico di Torino , 15121 Alessandria , Italy.
Ettore BarbieriSchool of Engineering and Materials Science , Queen Mary University of London , Mile End Road , London E1 4NS , United Kingdom.
Anne B SpoelstraLaboratory of Materials and Interface Chemistry & Centre for Multiscale Electron Microscopy Department of Chemical Engineering and Chemistry , Eindhoven University of Technology , Eindhoven , The Netherlands.
Giulia MirabelloLaboratory of Materials and Interface Chemistry & Centre for Multiscale Electron Microscopy Department of Chemical Engineering and Chemistry , Eindhoven University of Technology , Eindhoven , The Netherlands.
Joseph P PattersonLaboratory of Materials and Interface Chemistry & Centre for Multiscale Electron Microscopy Department of Chemical Engineering and Chemistry , Eindhoven University of Technology , Eindhoven , The Netherlands.
Lorenzo BottoSchool of Engineering and Materials Science , Queen Mary University of London , Mile End Road , London E1 4NS , United Kingdom.
Nicola M PugnoSchool of Engineering and Materials Science , Queen Mary University of London , Mile End Road , London E1 4NS , United Kingdom.ORCID http://orcid.org/0000-0003-2136-2396
Ton PeijsSchool of Engineering and Materials Science , Queen Mary University of London , Mile End Road , London E1 4NS , United Kingdom.
Emiliano BilottiSchool of Engineering and Materials Science , Queen Mary University of London , Mile End Road , London E1 4NS , United Kingdom.ORCID http://orcid.org/0000-0003-3952-1148

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intrinsic properties of nanomaterials offer promise for technological revolutions in many fields, including transportation, soft robotics, and energy. Unfortunately, the exploitation of such properties in polymer nanocomposites is extremely challenging due to the lack of viable dispersion routes when the filler content is high. We usually face a dichotomy between the degree of nanofiller loading and the degree of dispersion (and, thus, performance) because dispersion quality decreases with loading. Here, we demonstrate a potentially scalable pressing-and-folding method (P & F), inspired by the art of croissant-making, to efficiently disperse ultrahigh loadings of nanofillers in polymer matrices. A desired nanofiller dispersion can be achieved simply by selecting a sufficient number of P & F cycles. Because of the fine microstructural control enabled by P & F, mechanical reinforcements close to the theoretical maximum and independent of nanofiller loading (up to 74 vol %) were obtained. We propose a universal model for the P & F dispersion process that is parametrized on an experimentally quantifiable " D factor". The model represents a general guideline for the optimization of nanocomposites with enhanced functionalities including sensing, heat management, and energy storage.

Indexed as

graphenemultifunctional materialsnanoclaynanoparticle dispersionpolymer nanocompositespredictive model

Identifiers

PMID30179514
PMCPMC6167000

What OpenQuestion holds

Textmetadata
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.