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Superselective Targeting Using Multivalent Polymers
[Image: see text] Despite their importance for material and life sciences, multivalent interactions between polymers and surfaces remain poorly understood. Combining recent achievements of synthetic chemistry and surface characterization, we have developed a well-defined and highly specific model sy...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3919174/ https://www.ncbi.nlm.nih.gov/pubmed/24400591 http://dx.doi.org/10.1021/ja411138s |
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author | Dubacheva, Galina V. Curk, Tine Mognetti, Bortolo M. Auzély-Velty, Rachel Frenkel, Daan Richter, Ralf P. |
author_facet | Dubacheva, Galina V. Curk, Tine Mognetti, Bortolo M. Auzély-Velty, Rachel Frenkel, Daan Richter, Ralf P. |
author_sort | Dubacheva, Galina V. |
collection | PubMed |
description | [Image: see text] Despite their importance for material and life sciences, multivalent interactions between polymers and surfaces remain poorly understood. Combining recent achievements of synthetic chemistry and surface characterization, we have developed a well-defined and highly specific model system based on host/guest interactions. We use this model to study the binding of hyaluronic acid functionalized with host molecules to tunable surfaces displaying different densities of guest molecules. Remarkably, we find that the surface density of bound polymer increases faster than linearly with the surface density of binding sites. Based on predictions from a simple analytical model, we propose that this superselective behavior arises from a combination of enthalpic and entropic effects upon binding of nanoobjects to surfaces, accentuated by the ability of polymer chains to interpenetrate. |
format | Online Article Text |
id | pubmed-3919174 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-39191742014-02-11 Superselective Targeting Using Multivalent Polymers Dubacheva, Galina V. Curk, Tine Mognetti, Bortolo M. Auzély-Velty, Rachel Frenkel, Daan Richter, Ralf P. J Am Chem Soc [Image: see text] Despite their importance for material and life sciences, multivalent interactions between polymers and surfaces remain poorly understood. Combining recent achievements of synthetic chemistry and surface characterization, we have developed a well-defined and highly specific model system based on host/guest interactions. We use this model to study the binding of hyaluronic acid functionalized with host molecules to tunable surfaces displaying different densities of guest molecules. Remarkably, we find that the surface density of bound polymer increases faster than linearly with the surface density of binding sites. Based on predictions from a simple analytical model, we propose that this superselective behavior arises from a combination of enthalpic and entropic effects upon binding of nanoobjects to surfaces, accentuated by the ability of polymer chains to interpenetrate. American Chemical Society 2014-01-09 2014-02-05 /pmc/articles/PMC3919174/ /pubmed/24400591 http://dx.doi.org/10.1021/ja411138s Text en Copyright © 2014 American Chemical Society Terms of Use (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) |
spellingShingle | Dubacheva, Galina V. Curk, Tine Mognetti, Bortolo M. Auzély-Velty, Rachel Frenkel, Daan Richter, Ralf P. Superselective Targeting Using Multivalent Polymers |
title | Superselective
Targeting Using Multivalent Polymers |
title_full | Superselective
Targeting Using Multivalent Polymers |
title_fullStr | Superselective
Targeting Using Multivalent Polymers |
title_full_unstemmed | Superselective
Targeting Using Multivalent Polymers |
title_short | Superselective
Targeting Using Multivalent Polymers |
title_sort | superselective
targeting using multivalent polymers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3919174/ https://www.ncbi.nlm.nih.gov/pubmed/24400591 http://dx.doi.org/10.1021/ja411138s |
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