Issue 18, 2016

Glycosylated gold nanoparticle libraries for label-free multiplexed lectin biosensing

Abstract

Glycan/lectin interactions drive a wide range of recognition and signal transduction processes within nature. However, their measurement is complicated or limited by the analytical tools available. Most technologies require fluorescently labelled proteins (e.g. microarrays) or expensive infrastructure (such as surface plasmon resonance). This also limits their application in biosensing, especially for low-resource settings, where detection of pathogens based on glycan binding could speed up diagnosis. Here we employ a library-oriented approach to immobilise a range of monosaccharides onto polymer-stabilised gold nanoparticles to enable rapid and high-throughput evaluation of their binding specificities with a panel of lectins. The red to blue colour shift upon gold nanoparticle aggregation is used as the output, removing the need for labelled protein, enabling compatibility with 96-well microplates. Furthermore, we demonstrate the use of a flatbed scanner (or digital camera) to extract biophysical data, ensuring that only minimal resources are required. Finally, linear discriminant analysis is employed to demonstrate how the glyconanoparticles can be applied as a multiplexed biosensor capable of identifying pathogenic lectins without the need for any infrastructure and overcoming some of the issues of lectin promiscuity.

Graphical abstract: Glycosylated gold nanoparticle libraries for label-free multiplexed lectin biosensing

Supplementary files

Article information

Article type
Paper
Submitted
25 Sept. 2015
Accepted
26 Okt. 2015
First published
27 Okt. 2015
This article is Open Access
Creative Commons BY license

J. Mater. Chem. B, 2016,4, 3046-3053

Author version available

Glycosylated gold nanoparticle libraries for label-free multiplexed lectin biosensing

S. Richards, L. Otten and M. I. Gibson, J. Mater. Chem. B, 2016, 4, 3046 DOI: 10.1039/C5TB01994J

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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