Evidence map›Paper›PMID 34064400›Full record

ArticlePolymers2021

Engineering Toolbox for Systematic Design of PolyHIPE Architecture.

Prachi Dhavalikar, Jason Shenoi, Karim Salhadar, Malgorzata Chwatko, Gabriel Rodriguez-Rivera, Joy Cheshire, Reza Foudazi, Elizabeth Cosgriff-Hernandez

Abstract read
In one paragraph

Article in Polymers, 2021. 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. Emulsion templating of PCL:PGS methacrylate blends for soft tissue engineering.Frontiers in bioengineering and biotechnology · 2026
    Article
  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.

Prachi DhavalikarDepartment of Biomedical Engineering, University of Texas, Austin, TX 78712, USA.
Jason ShenoiDepartment of Biomedical Engineering, University of Texas, Austin, TX 78712, USA.
Karim SalhadarDepartment of Biomedical Engineering, University of Texas, Austin, TX 78712, USA.
Malgorzata ChwatkoDepartment of Biomedical Engineering, University of Texas, Austin, TX 78712, USA.ORCID 0000-0002-2770-5196
Gabriel Rodriguez-RiveraDepartment of Chemical Engineering, University of Texas, Austin, TX 78712, USA.
Joy CheshireDepartment of Biomedical Engineering, University of Texas, Austin, TX 78712, USA.
Reza FoudaziDepartment of Chemical and Materials Engineering, New Mexico State University, Las Cruces, NM 88003, USA.ORCID 0000-0001-6711-3390
Elizabeth Cosgriff-HernandezDepartment of Biomedical Engineering, University of Texas, Austin, TX 78712, USA.

Funding

National Science Foundation 1822196
6 · The paper itself

Abstract

Polymerization of high internal phase emulsions (polyHIPEs) is a well-established method for the production of high porosity foams. Researchers are often regulated to using a time-intensive trial and error approach to achieve target pore architectures. In this work, we performed a systematic study to identify the relative effects of common emulsion parameters on pore architecture (mixing speed, surfactant concentration, organic phase viscosity, molecular hydrophobicity). Across different macromer chemistries, the largest magnitude of change in pore size was observed across surfactant concentration (~6 fold, 5-20 wt%), whereas changing mixing speeds (~4 fold, 500-2000 RPM) displayed a reduced effect. Furthermore, it was observed that organic phase viscosity had a marked effect on pore size (~4 fold, 6-170 cP) with no clear trend observed with molecular hydrophobicity in this range (logP = 1.9-4.4). The efficacy of 1,4-butanedithiol as a reactive diluent was demonstrated and provides a means to reduce organic phase viscosity and increase pore size without affecting polymer fraction of the resulting foam. Overall, this systematic study of the microarchitectural effects of these macromers and processing variables provides a framework for the rational design of polyHIPE architectures that can be used to accelerate design and meet application needs across many sectors.

Indexed as

emulsion stabilityemulsion viscositypolyHIPEspore architecturepore sizethermodynamics

Identifiers

PMID34064400
PMCPMC8124597

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.