Evidence map›Paper›PMID 38827962›Full record

ArticleMacromolecules2024

Framework for a High-Throughput Screening Method to Assess Polymer/Plasticizer Miscibility: The Case of Hydrocarbons in Polyolefins.

Lois Smith, Hossein Ali Karimi-Varzaneh, Sebastian Finger, Giuliana Giunta, Alessandro Troisi, Paola Carbone

Abstract read
In one paragraph

Article in Macromolecules, 2024. 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. Review
  2. 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.

Lois SmithDepartment of Chemical Engineering, School of Engineering, The University of Manchester, Oxford Road, M13 9PL Manchester, U.K.
Hossein Ali Karimi-VarzanehContinental Reifen Deutschland GmbH, Jädekamp 30, D-30419 Hanover, Germany.ORCID https://orcid.org/0000-0002-7661-3490
Sebastian FingerContinental Reifen Deutschland GmbH, Jädekamp 30, D-30419 Hanover, Germany.
Giuliana GiuntaDepartment of Chemical Engineering, School of Engineering, The University of Manchester, Oxford Road, M13 9PL Manchester, U.K.ORCID https://orcid.org/0000-0002-8986-9604
Alessandro TroisiDepartment of Chemistry, University of Liverpool, Crown Street, L69 7ZD Liverpool, U.K.ORCID https://orcid.org/0000-0002-5447-5648
Paola CarboneDepartment of Chemical Engineering, School of Engineering, The University of Manchester, Oxford Road, M13 9PL Manchester, U.K.ORCID https://orcid.org/0000-0001-9927-8376

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymer composite materials require softening to reduce their glass transition temperature and improve processability. To this end, plasticizers (PLs), which are small organic molecules, are added to the polymer matrix. The miscibility of these PLs has a large impact on their effectiveness and, therefore, their interactions with the polymer matrix must be carefully considered. Many PL characteristics, including their size, topology, and flexibility, can impact their miscibility and, because of the exponentially large number of PLs, the current trial-and-error approach is very ineffective. In this work, we show that using coarse-grained molecular simulations of a small dataset of 48 PLs, it is possible to identify topological and thermodynamic descriptors that are proxy for their miscibility. Using

Identifiers

PMID38827962
PMCPMC11140736

What OpenQuestion holds

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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.