Issue 6, 2017

Algorithm-driven high-throughput screening of colloidal nanoparticles under simulated physiological and therapeutic conditions

Abstract

Colloidal nanoparticles have shown tremendous potential as cancer drug carriers and as phototherapeutics. However, the stability of nanoparticles under physiological and phototherapeutic conditions is a daunting issue, which needs to be addressed in order to ensure a successful clinical translation. The design, development and implementation of unique algorithms are described herein for high-throughput hydrodynamic size measurements of colloidal nanoparticles. The data obtained from such measurements provide clinically-relevant particle size distribution assessments that are directly related to the stability and aggregation profiles of the nanoparticles under putative physiological and phototherapeutic conditions; those profiles are not only dependent on the size and surface coating of the nanoparticles, but also on their composition. Uncoated nanoparticles showed varying degrees of association with bovine serum albumin, whereas PEGylated nanoparticles did not exhibit significant association with the protein. The algorithm-driven, high-throughput size screening method described in this report provides highly meaningful size measurement patterns stemming from the association of colloidal particles with bovine serum albumin used as a protein model. Noteworthy is that this algorithm-based high-throughput method can accomplish sophisticated hydrodynamic size measurement protocols within days instead of years it would take conventional hydrodynamic size measurement techniques to achieve a similar task.

Graphical abstract: Algorithm-driven high-throughput screening of colloidal nanoparticles under simulated physiological and therapeutic conditions

Supplementary files

Article information

Article type
Paper
Submitted
02 Nov 2016
Accepted
08 Jan 2017
First published
11 Jan 2017

Nanoscale, 2017,9, 2291-2300

Algorithm-driven high-throughput screening of colloidal nanoparticles under simulated physiological and therapeutic conditions

A. A. Bhirde, S. Sindiri, G. N. Calco, M. A. Aronova and S. L. Beaucage, Nanoscale, 2017, 9, 2291 DOI: 10.1039/C6NR08579B

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements