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Proton trap effect on catechol–pyridine redox polymer nanoparticles as organic electrodes for lithium batteries

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jan 2020 Argentina Publisher:Royal Society of Chemistry (RSC)Journal:Sustainable Energy & Fuels, volume 4, pages 3,934-3,942 (eissn: 2398-4902,

Authors: Rebeca Marcilla; Nagaraj Patil; David Mecerreyes; David Mecerreyes; Christophe Detrembleur; Antonela Gallastegui; Daniela Minudri; +3 Authors

doi: 10.1039/d0se00531b

handle: 11336/142669

Proton trap effect on catechol–pyridine redox polymer nanoparticles as organic electrodes for lithium batteries

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Abstract

New redox-active polymer nanoparticles present that the redox potential of the catechol group is affected by the presence of the pyridine. This positive potential gain is associated to the proton trap effect, which benefits the performance of lithium-ion–polymer batteries.

Country

Argentina

Related Organizations

National Scientific and Technical Research Council
Argentina
Ikerbasque
Spain
National University of Río Cuarto
Argentina
Consejo Nacional para Investigaciones Científicas y Tecnológicas
Costa Rica
Madrid Institute for Advanced Studies
Spain

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Keywords

Redox active, Lithium batteries, Catechol, Proton trap, https://purl.org/becyt/ford/1.4, https://purl.org/becyt/ford/1

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	17
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%