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Structure of Single-Chain Nanoparticles under Crowding Conditions: A Random Phase Approximation Approach
[Image: see text] The conformation of poly(methyl methacrylate) (PMMA)-based single-chain nanoparticles (SCNPs) and their corresponding linear precursors in the presence of deuterated linear PMMA in deuterated dimethylformamide (DMF) solutions has been studied by small-angle neutron scattering (SANS...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654932/ https://www.ncbi.nlm.nih.gov/pubmed/38024156 http://dx.doi.org/10.1021/acs.macromol.3c01333 |
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author | Robles-Hernández, Beatriz González-Burgos, Marina Malo de Molina, Paula Asenjo-Sanz, Isabel Radulescu, Aurel Pomposo, José A. Arbe, Arantxa Colmenero, Juan |
author_facet | Robles-Hernández, Beatriz González-Burgos, Marina Malo de Molina, Paula Asenjo-Sanz, Isabel Radulescu, Aurel Pomposo, José A. Arbe, Arantxa Colmenero, Juan |
author_sort | Robles-Hernández, Beatriz |
collection | PubMed |
description | [Image: see text] The conformation of poly(methyl methacrylate) (PMMA)-based single-chain nanoparticles (SCNPs) and their corresponding linear precursors in the presence of deuterated linear PMMA in deuterated dimethylformamide (DMF) solutions has been studied by small-angle neutron scattering (SANS). The SANS profiles were analyzed in terms of a three-component random phase approximation (RPA) model. The RPA approach described well the scattering profiles in dilute and crowded solutions. Considering all the contributions of the RPA leads to an accurate estimation of the single chain form factor parameters and the Flory–Huggins interaction parameter between PMMA and DMF. The value of the latter in the dilute regime indicates that the precursors and the SCNPs are in good solvent conditions, while in crowding conditions, the polymer becomes less soluble. |
format | Online Article Text |
id | pubmed-10654932 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-106549322023-11-17 Structure of Single-Chain Nanoparticles under Crowding Conditions: A Random Phase Approximation Approach Robles-Hernández, Beatriz González-Burgos, Marina Malo de Molina, Paula Asenjo-Sanz, Isabel Radulescu, Aurel Pomposo, José A. Arbe, Arantxa Colmenero, Juan Macromolecules [Image: see text] The conformation of poly(methyl methacrylate) (PMMA)-based single-chain nanoparticles (SCNPs) and their corresponding linear precursors in the presence of deuterated linear PMMA in deuterated dimethylformamide (DMF) solutions has been studied by small-angle neutron scattering (SANS). The SANS profiles were analyzed in terms of a three-component random phase approximation (RPA) model. The RPA approach described well the scattering profiles in dilute and crowded solutions. Considering all the contributions of the RPA leads to an accurate estimation of the single chain form factor parameters and the Flory–Huggins interaction parameter between PMMA and DMF. The value of the latter in the dilute regime indicates that the precursors and the SCNPs are in good solvent conditions, while in crowding conditions, the polymer becomes less soluble. American Chemical Society 2023-11-03 /pmc/articles/PMC10654932/ /pubmed/38024156 http://dx.doi.org/10.1021/acs.macromol.3c01333 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Robles-Hernández, Beatriz González-Burgos, Marina Malo de Molina, Paula Asenjo-Sanz, Isabel Radulescu, Aurel Pomposo, José A. Arbe, Arantxa Colmenero, Juan Structure of Single-Chain Nanoparticles under Crowding Conditions: A Random Phase Approximation Approach |
title | Structure of
Single-Chain Nanoparticles under Crowding
Conditions: A Random Phase Approximation Approach |
title_full | Structure of
Single-Chain Nanoparticles under Crowding
Conditions: A Random Phase Approximation Approach |
title_fullStr | Structure of
Single-Chain Nanoparticles under Crowding
Conditions: A Random Phase Approximation Approach |
title_full_unstemmed | Structure of
Single-Chain Nanoparticles under Crowding
Conditions: A Random Phase Approximation Approach |
title_short | Structure of
Single-Chain Nanoparticles under Crowding
Conditions: A Random Phase Approximation Approach |
title_sort | structure of
single-chain nanoparticles under crowding
conditions: a random phase approximation approach |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654932/ https://www.ncbi.nlm.nih.gov/pubmed/38024156 http://dx.doi.org/10.1021/acs.macromol.3c01333 |
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