The University of Southampton
University of Southampton Institutional Repository
Warning ePrints Soton is experiencing an issue with some file downloads not being available. We are working hard to fix this. Please bear with us.

A method for the growth of uniform silica shells on different size and morphology upconversion nanoparticles

A method for the growth of uniform silica shells on different size and morphology upconversion nanoparticles
A method for the growth of uniform silica shells on different size and morphology upconversion nanoparticles
Lanthanide-doped upconversion nanoparticles have emerged as attractive candidates for biomedical applications. This is due to their excitation and emission wavelengths, which lay the foundation for deeper penetration depth into biological tissue, higher resolution due to reduced scattering and improved imaging contrast as a result of a decrease in autofluorescence background. Usually, their encapsulation within a biocompatible silica shell is a requirement for their dispersion within complex media or for further functionalization of the upconversion nanoparticle surface. However, the creation of a silica shell around upconversion nanoparticles can be often challenging, many times resulting in partial silica coating or nanoparticle aggregation, as well as the production of a large number of silica particles as a side product. In this work we demonstrate a method to accurately predict the experimental conditions required to form a high yield of silica-coated upconversion nanoparticles, regardless of their shape and size.
2516-0230
3522-3529
Urena Horno, Elena
25a09893-6a2e-4930-99bb-1812ee7d0a03
Kyriazi, Maria-Eleni
3cfe9662-4e7f-49bc-b707-ccc2b4da6b09
Kanaras, Antonios
667ecfdc-7647-4bd8-be03-a47bf32504c7
Urena Horno, Elena
25a09893-6a2e-4930-99bb-1812ee7d0a03
Kyriazi, Maria-Eleni
3cfe9662-4e7f-49bc-b707-ccc2b4da6b09
Kanaras, Antonios
667ecfdc-7647-4bd8-be03-a47bf32504c7

Urena Horno, Elena, Kyriazi, Maria-Eleni and Kanaras, Antonios (2021) A method for the growth of uniform silica shells on different size and morphology upconversion nanoparticles. Nanoscale Advances, 3 (12), 3522-3529.

Record type: Article

Abstract

Lanthanide-doped upconversion nanoparticles have emerged as attractive candidates for biomedical applications. This is due to their excitation and emission wavelengths, which lay the foundation for deeper penetration depth into biological tissue, higher resolution due to reduced scattering and improved imaging contrast as a result of a decrease in autofluorescence background. Usually, their encapsulation within a biocompatible silica shell is a requirement for their dispersion within complex media or for further functionalization of the upconversion nanoparticle surface. However, the creation of a silica shell around upconversion nanoparticles can be often challenging, many times resulting in partial silica coating or nanoparticle aggregation, as well as the production of a large number of silica particles as a side product. In this work we demonstrate a method to accurately predict the experimental conditions required to form a high yield of silica-coated upconversion nanoparticles, regardless of their shape and size.

Text
UCNPs_Silica
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 30 April 2021
Published date: 21 May 2021

Identifiers

Local EPrints ID: 448954
URI: http://eprints.soton.ac.uk/id/eprint/448954
ISSN: 2516-0230
PURE UUID: 380fbd7b-2ef8-4932-91f4-0c1743a12727
ORCID for Antonios Kanaras: ORCID iD orcid.org/0000-0002-9847-6706

Catalogue record

Date deposited: 11 May 2021 17:11
Last modified: 26 Nov 2021 02:52

Export record

Contributors

Author: Elena Urena Horno
Author: Maria-Eleni Kyriazi

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×