Evidence map›Paper›PMID 42120966›Full record

ArticleChemSusChem2026

Polyampholyte Copolymers Based on Dual Ionic Monomers as Self-Healing Aqueous Binders for Lithium Ion Battery Cathodes.

Jon López de Lacalle, Ana Clara Rolandi, Jorge L Olmedo-Martínez, Miryam Criado-Gonzalez, Eduardo J García-Suárez, Nerea Casado, David Mecerreyes

Abstract read
In one paragraph

Article in ChemSusChem, 2026. 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

7 authors.

Jon López de LacallePOLYMAT, University of the Basque Country UPV/EHU, Donostia-San Sebastián, Spain.
Ana Clara RolandiPOLYMAT, University of the Basque Country UPV/EHU, Donostia-San Sebastián, Spain.
Jorge L Olmedo-MartínezPOLYMAT, University of the Basque Country UPV/EHU, Donostia-San Sebastián, Spain.
Miryam Criado-GonzalezPOLYMAT, University of the Basque Country UPV/EHU, Donostia-San Sebastián, Spain.
Eduardo J García-SuárezCenter for Cooperative Research on Alternative Energies (CIC energiGUNE), Basque Research and Technology Alliance (BRTA), Vitoria-Gasteiz, Spain.ORCID https://orcid.org/0000-0001-5309-3050
Nerea CasadoPOLYMAT, University of the Basque Country UPV/EHU, Donostia-San Sebastián, Spain.ORCID https://orcid.org/0000-0003-0799-5111
David MecerreyesPOLYMAT, University of the Basque Country UPV/EHU, Donostia-San Sebastián, Spain.ORCID https://orcid.org/0000-0002-0788-7156

Funding

HORIZON EUROPE Climate, Energy and Mobility 101104028
6 · The paper itself

Abstract

Self-healing polymeric binders play a key role in preserving the mechanical stability of electrodes, as they can autonomously recover from mechanical damage, such as cracks or ruptures, without affecting battery performance. Herein, a polyampholyte copolymer family is designed with tunable glass transition temperature and self-healing properties associated with the reversible ionic and hydrogen bonding interactions. A dual ionic monomer (DIM) is synthesized by a proton transfer reaction between methacrylic acid (MA) and dimethylaminoethyl methacrylate (DMAEMA). A series of copolymers with both anionic and cationic groups in the polymer backbone were then synthesized by copolymerization of the DIM with poly(ethylene glycol) methyl ether methacrylate (PEGMEMA) at different ratios by free-radical polymerization in water. The poly(MA-co-DMAEMA-co-PEGMEMA) random copolymers presented different glass transition temperatures (T

Indexed as

batterybindercopolymersionic polymerself‐healing

Identifiers

PMID42120966
PMCPMC13168370

What OpenQuestion holds

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LicenceCC BY
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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.