Predicting the size and morphology of nanoparticle clusters driven by biomolecular recognition-Reference-Cited by-同舟云学术

Predicting the size and morphology of nanoparticle clusters driven by biomolecular recognition

Published:2023 Issue: Volume: Page:
ISSN:1744-683X
Container-title:Soft Matter
language:en
Short-container-title:Soft Matter

Author:

Palacios-Alonso Pablo¹²^ORCID,Sanz-de-Diego Elena¹,Peláez Raúl P.³^ORCID,Cortajarena A. L.⁴⁵^ORCID,Teran F. J.¹⁶^ORCID,Delgado-Buscalioni Rafael³²^ORCID

Affiliation:

1. iMdea Nanociencia, Campus Universitario de Cantoblanco, 28049 Madrid, Spain

2. Condensed Matter Physics Center, IFIMAC, Spain

3. Dpto. Física Teórica de la Materia Condensada, Universidad Autónoma de Madrid, 28049 Madrid, Spain

4. CIC biomaGUNE-BRTA, 20014, Donostia-San Sebastián, Spain

5. Ikerbasque, Basque Foundation for Science, Bilbao, Spain

6. Nanobiotecnología (iMdea-Nanociencia), Unidad Asociada al Centro Nacional de Biotecnología (CSIC), 28049 Madrid, Spain

Abstract

Nanoparticle aggregation by biomolecular recognition is a driving principle of innovative materials and biosensing. Using theory, simulation and experiments, this work analizes the morphology of bioconjugated nanoparticles clusters.

Funder

Agencia Estatal de Investigación

Comunidad de Madrid

European Cooperation in Science and Technology

Publisher

Royal Society of Chemistry (RSC)

Subject

Condensed Matter Physics,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/SM/D3SM00536D

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