Evidence map›Paper›PMID 42221145›Full record

ArticleMacromolecules2022

Surfactant Molecular Properties Control Location in Emulsion Electrospun Fibers and Dictate Resulting Fiber Properties.

Pamela M Johnson, Katherine L Meinhold, Nathan R Ohl, Justin M Lehtinen, Jennifer L Robinson

Abstract read
In one paragraph

Article in Macromolecules, 2022. 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. Article
  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

5 authors.

Pamela M JohnsonBioengineering Graduate Program, University of Kansas, Lawrence, Kansas 66045, United States.
Katherine L MeinholdBioengineering Graduate Program, University of Kansas, Lawrence, Kansas 66045, United States.
Nathan R OhlDepartment of Chemical and Petroleum Engineering, University of Kansas, Lawrence, Kansas 66045, United States.
Justin M LehtinenDepartment of Chemical and Petroleum Engineering, University of Kansas, Lawrence, Kansas 66045, United States.
Jennifer L RobinsonBioengineering Graduate Program and Department of Chemical and Petroleum Engineering, University of Kansas, Lawrence, Kansas 66045, United States.ORCID 0000-0002-5421-2370

Funding

Biomaterial technologies for interrogating sex differences in tissue repair and homeostasisR35GM143081 · NIGMS · UNIVERSITY OF WASHINGTON · PI ROBINSON, JENNIFER LINDSEY · 2021 to 2025
$2.0M
NIGMS NIH HHS R35 GM143081
6 · The paper itself

Abstract

Emulsion electrospinning is a versatile technique to generate nonwoven fibrous meshes. Using surfactants to reduce surface tension at the needle tip and interfacial tension between continuous and dispersed phases in an emulsion modifies final fiber characteristics critical for performance in drug delivery and tissue engineering applications. This study aimed to investigate the role of nonionic surfactant location and modulation of surface and interfacial tension during the electrospinning process on resulting fiber properties. Bulk visual analysis of emulsion stability, fiber morphology and diameter, and wettability of final mesh was assessed. Polyglycerol polyricenoleate (PGPR) demonstrated highest emulsion stability. All other surfactants decreased fiber diameter. Mesh wettability increased with surfactant addition and was further modulated in emulsions. Overall, results demonstrated that surfactant molecular properties including hydrophobic-lipophilic balance (HLB) value and partition coefficient (logP) can be used as predictors to determine surfactant location and dictate fiber properties in single phase and emulsion electrospinning systems.

Identifiers

PMID42221145
PMCPMC13218747

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.