Evidence map›Paper›PMID 35575334›Full record

ArticleACS macro letters2022

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Irem Akar, Jeffrey C Foster, Xiyue Leng, Amanda K Pearce, Robert T Mathers, Rachel K O'Reilly

Open access · hybridAbstract read
In one paragraph

Article in ACS macro letters, 2022. 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
1.5field-weighted citation impact, top 19% of its field
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, 15 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Irem AkarSchool of Chemistry, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom.
Jeffrey C FosterSchool of Chemistry, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom.ORCID 0000-0002-9097-8680
Xiyue LengSchool of Chemistry, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom.
Amanda K PearceSchool of Chemistry, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom.ORCID 0000-0003-3372-7380
Robert T MathersDepartment of Chemistry, Pennsylvania State University, New Kensington, Pennsylvania 15068, United States.ORCID 0000-0002-0503-4571
Rachel K O'ReillySchool of Chemistry, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom.ORCID 0000-0002-1043-7172
University of Birmingham · GBPennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymers that exhibit a lower critical solution temperature (LCST) have been of great interest for various biological applications such as drug or gene delivery, controlled release systems, and biosensing. Tuning the LCST behavior through control over polymer composition (e.g., upon copolymerization of monomers with different hydrophobicity) is a widely used method, as the phase transition is greatly affected by the hydrophilic/hydrophobic balance of the copolymers. However, the lack of a general method that relates copolymer hydrophobicity to their temperature response leads to exhaustive experiments when seeking to obtain polymers with desired properties. This is particularly challenging when the target copolymers are comprised of monomers that individually form nonresponsive homopolymers, that is, only when copolymerized do they display thermoresponsive behavior. In this study, we sought to develop a predictive relationship between polymer hydrophobicity and cloud point temperature (

Indexed as

AcrylamidePolymersHydrophobic and Hydrophilic InteractionsPhase TransitionPolymerizationAcrylamidePolymers

Identifiers

PMID35575334
PMCPMC9022432
OpenAlexW4220876401

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.