Evidence map›Paper›PMID 36507097›Full record

ArticleACS sustainable chemistry & engineering2022

Water-Processable, Stretchable, and Ion-Conducting Coacervate Fibers from Keratin Associations with Polyelectrolytes.

Jianwu Sun, Guillermo Monreal Santiago, Wen Zhou, Giuseppe Portale, Marleen Kamperman

Abstract read
In one paragraph

Article in ACS sustainable chemistry & engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Coacervates as bio-inspired intermediates for materials processing.Chemical communications (Cambridge, England) · 2026
    Review
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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

5 authors.

Jianwu SunPolymer Science, Zernike Institute for Advanced Materials, University of Groningen, Groningen 9747 AG, The Netherlands.
Guillermo Monreal SantiagoPolymer Science, Zernike Institute for Advanced Materials, University of Groningen, Groningen 9747 AG, The Netherlands.ORCID https://orcid.org/0000-0002-3754-9270
Wen ZhouProducts and Processes for Biotechnology, Engineering and Technology Institute Groningen, University of Groningen, Groningen 9747 AG, The Netherlands.
Giuseppe PortaleMacromolecular Chemistry and New Polymeric Material, Zernike Institute for Advanced Materials, University of Groningen, Groningen 9747 AG, The Netherlands.ORCID https://orcid.org/0000-0002-4903-3159
Marleen KampermanPolymer Science, Zernike Institute for Advanced Materials, University of Groningen, Groningen 9747 AG, The Netherlands.ORCID https://orcid.org/0000-0002-0520-4534

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Keratin is one of the most abundant biopolymers, produced on a scale of millions of tons per year but often simply discarded as waste. Due to its abundance, biocompatibility, and excellent mechanical properties, there is an extremely high interest in developing protocols for the recycling of keratin and its conversion into protein-based materials. In this work, we describe a novel protocol for the conversion of keratin from wool into hybrid fibers. Our protocol uses a synthetic polyanion, which undergoes complex coacervation with keratin, leading to a viscous liquid phase that can be used directly as a dope for dry-spinning. The use of polyelectrolyte complexation allows us to use all of the extracted keratin, unlike previous works that were limited to the fraction with the highest molecular weight. The fibers prepared by this protocol show excellent mechanical properties, humidity responsiveness, and ion conductivity, which makes them promising candidates for applications as a strain sensor.

Identifiers

PMID36507097
PMCPMC9727776

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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.