Evidence map›Paper›PMID 38334980›Full record

ArticleBiomaterials science2024

A highly tuneable inverse emulsion polymerization for the synthesis of stimuli-responsive nanoparticles for biomedical applications.

Andrew C Murphy, Heidi F Oldenkamp, Nicholas A Peppas

Abstract read
In one paragraph

Article in Biomaterials science, 2024. 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. Review
  2. Review
  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

3 authors.

Andrew C MurphyMcKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA. peppas@che.utexas.edu.
Heidi F OldenkampMcKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA. peppas@che.utexas.edu.
Nicholas A PeppasMcKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA. peppas@che.utexas.edu.ORCID http://orcid.org/0000-0003-0894-5626

Funding

Sensor arrays based on molecularly imprinted polymers for diagnosis of Sjogren's syndromeR01EB022025 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI ANSLYN, ERIC V., PEPPAS, NICHOLAS A · 2016 to 2019
$1.5M
NIBIB NIH HHS R01 EB022025
6 · The paper itself

Abstract

Polymeric nanomaterials have seen widespread use in biomedical applications as they are highly tuneable to achieve the desired stimuli-responsiveness, targeting, biocompatibility, and degradation needed for fields such as drug delivery and biosensing. However, adjustments to composition and the introduction of new monomers often necessitate reoptimization of the polymer synthesis to achieve the target parameters. In this study, we explored the use of inverse emulsion polymerization to prepare a library of polymeric nanoparticles with variations in pH and temperature response and examined the impact of overall batch volume and the volume of the aqueous phase on nanoparticle size and composition. We were able to prepare copolymeric nanoparticles using three different nonionic and three different anionic comonomers. Varying the non-ionizable comonomers, acrylamide (AAm), 2-hydroxyethyl methacrylate, and

Indexed as

Drug CarriersMethacrylatesNanoparticlesEmulsionsHydrogen-Ion ConcentrationPolymerizationPolymersDrug CarriersEmulsionsMethacrylatesmethacrylic acidPolymers

Identifiers

PMID38334980
PMCPMC10965376

What OpenQuestion holds

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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.