Evidence map›Paper›PMID 38752140›Full record

ArticleNanoscale advances2024

Harnessing prion-inspired amyloid self-assembly for sustainable and biocompatible proton conductivity.

Susanna Navarro, Andreu Andrio, Marta Diaz-Caballero, Salvador Ventura, Vicente Compañ

Abstract read
In one paragraph

Article in Nanoscale advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Susanna NavarroInstitut de Biotecnologia i Biomedicina and Departament de Bioquímica i Biología Molecular, Universitat Autónoma de Barcelona 08193 Bellaterra Barcelona Spain Susanna.Navarro.Cantero@uab.es.ORCID https://orcid.org/0000-0001-8160-9536
Andreu AndrioDpto. Física. Universitat Jaume I Avda. Sos, Baynat s/n Castellon 12071 Spain.ORCID https://orcid.org/0000-0003-2805-103X
Marta Diaz-CaballeroInstitut de Biotecnologia i Biomedicina and Departament de Bioquímica i Biología Molecular, Universitat Autónoma de Barcelona 08193 Bellaterra Barcelona Spain Susanna.Navarro.Cantero@uab.es.
Salvador VenturaInstitut de Biotecnologia i Biomedicina and Departament de Bioquímica i Biología Molecular, Universitat Autónoma de Barcelona 08193 Bellaterra Barcelona Spain Susanna.Navarro.Cantero@uab.es.
Vicente CompañEscuela Técnica Superior de Ingenieros Industriales, Departamento de Termodinámica Aplicada, Universitat Politècnica de València Camino de Vera s/n 46020 Valencia Spain vicommo@ter.upv.es.ORCID https://orcid.org/0000-0001-8233-7472

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-based materials have emerged as promising candidates for proton-conducting biomaterials. Therefore, drawing inspiration from the amino acid composition of prion-like domains, we designed short self-assembling peptides incorporating the (X-Tyr) motif, with X representing Asn, Gly and Ser, which form fibrillar structures capable of conducting protons. In this study, we conducted an analysis of the conductivity capacity of these fibers, with a focus on temperature and frequency dependence of conductivity. The loss tangent curves data and the electrode polarization model with the Debye approximation were employed to calculate transport properties, including conductivity, diffusivity, and density of charge carriers. Results revealed the prion-like fibers can transport protons more efficiently than biomaterials and other synthetic proton conducting materials, and that a significant increase in conductivity is observed with fibrillar orientations. The temperature dependence of conductivity of the peptides, measured in wet conditions, showed conductivities following the trend

Identifiers

PMID38752140
PMCPMC11093263

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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.