dc.contributor.author | Asenjo Sanz, Isabel | |
dc.contributor.author | Verde Sesto, Ester | |
dc.contributor.author | Pomposo Alonso, José Adolfo | |
dc.date.accessioned | 2022-01-25T08:53:47Z | |
dc.date.available | 2022-01-25T08:53:47Z | |
dc.date.issued | 2022-01-05 | |
dc.identifier.citation | RSC Advances 12(3) : 1571-1575 (2022) | es_ES |
dc.identifier.issn | 2046-2069 | |
dc.identifier.uri | http://hdl.handle.net/10810/55141 | |
dc.description.abstract | [EN] Single-chain nanoparticles (SCNPs) result from the folding of isolated polymer chains via intramolecular interactions. Currently, there is no theory able to rationalize the astonishing conformational behaviour of SCNPs under severe crowding conditions (e.g., highly concentrated solutions, all-polymer nanocomposites) and, specifically, the significant size reduction observed in highly crowded solutions of covalent-bonded SCNPs and all-polymer nanocomposites containing SCNPs. Herein, we propose a valuable method to estimate the size of SCNPs under crowding. The method - which is based on combining MD simulations results with scaling concepts - is also useful for ring polymers and nanostructured Janus-shaped SCNPs. | es_ES |
dc.description.sponsorship | Financial support by MCIN/AEI/10.13039/501100011033 and "ERDF - A way of making Europe" (PGC2018-094548-B-I00), Eusko Jaurlaritza - Basque Government (IT-1175-19), and Gipuzkoako Foru Aldundia, Programa Red Gipuzkoana de Ciencia, Tecnologia e Innovacion (2021-CIEN-000010-01) is gratefully acknowledged. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Royal Society of Chemistry | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/10.13039/501100011033 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICIU/PGC2018-094548-B-I00 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/es/ | * |
dc.subject | polymer nanoparticles | es_ES |
dc.subject | model | es_ES |
dc.title | A method to estimate the size of single-chain nanoparticles under severe crowding conditions | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2022 The Author(s). Published by the Royal Society of Chemistry. This article is licensed under a Creative Commons attribution Non-Commercial 3.0 unported licence. | es_ES |
dc.rights.holder | Atribución-NoComercial 3.0 España | * |
dc.relation.publisherversion | https://pubs.rsc.org/en/content/articlelanding/2022/RA/D1RA09088G | es_ES |
dc.identifier.doi | 10.1039/d1ra09088g | |
dc.departamentoes | Polímeros y Materiales Avanzados: Física, Química y Tecnología | es_ES |
dc.departamentoeu | Polimero eta Material Aurreratuak: Fisika, Kimika eta Teknologia | es_ES |