Evidence map›Paper›PMID 31071134›Full record

ArticlePloS one2019

Flow imaging microscopy as a novel tool for high-throughput evaluation of elastin-like polymer coacervates.

Laura Marvin, Wynter Paiva, Nicole Gill, Marissa A Morales, Jeffrey Mark Halpern, James Vesenka, Eva Rose M Balog

Abstract read
In one paragraph

Article in PloS one, 2019. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

7 authors.

Laura MarvinDepartment of Chemistry and Physics, University of New England, Biddeford, Maine, United States of America.
Wynter PaivaDepartment of Chemistry and Physics, University of New England, Biddeford, Maine, United States of America.
Nicole GillFluid Imaging Technologies, Inc., Scarborough, Maine, United States of America.ORCID 0000-0002-6490-4071
Marissa A MoralesDepartment of Chemical Engineering, University of New Hampshire, Durham, New Hampshire, United States of America.
Jeffrey Mark HalpernDepartment of Chemical Engineering, University of New Hampshire, Durham, New Hampshire, United States of America.ORCID 0000-0003-0814-1986
James VesenkaDepartment of Chemistry and Physics, University of New England, Biddeford, Maine, United States of America.
Eva Rose M BalogDepartment of Chemistry and Physics, University of New England, Biddeford, Maine, United States of America.ORCID 0000-0001-6792-6914

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological and bioinspired polymer microparticles have broad biomedical and industrial applications, including drug delivery, tissue engineering, surface modification, environmental remediation, imaging, and sensing. Full realization of the potential of biopolymer microparticles will require methods for rigorous characterization of particle sizes, morphologies, and dynamics, so that researchers may correlate particle characteristics with synthesis methods and desired functions. Toward this end, we evaluated biopolymer microparticles using flow imaging microscopy. This technology is widely used in the biopharmaceutical industry but is not yet well-known among the materials community. Our polymer, a genetically engineered elastin-like polypeptide (ELP), self-assembles into micron-scale coacervates. We performed flow imaging of ELP coacervates using two different instruments, one with a lower size limit of approximately 2 microns, the other with a lower size limit of approximately 300 nanometers. We validated flow imaging results by comparison with dynamic light scattering and atomic force microscopy analyses. We explored the effects of various solvent conditions on ELP coacervate size, morphology, and behavior, such as the dispersion of single particles versus aggregates. We found that flow imaging is a superior tool for rapid and thorough particle analysis of ELP coacervates in solution. We anticipate that researchers studying many types of microscale protein or polymer assemblies will be interested in flow imaging as a tool for quantitative, solution-based characterization.

Indexed as

Drug Delivery SystemsMicroscopyDrug Evaluation, PreclinicalElastinElastin

Identifiers

PMID31071134
PMCPMC6508725

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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.