Glyconanoparticle diagnostics for the detection and discrimation of human and avian influenza infection

Lead Research Organisation: John Innes Centre
Department Name: Biological Chemistry

Abstract

Recurring incidents of avian and swine flu infection in humans have prompted the development of novel, accurate point-of-care diagnostics for influenza. Current methods for the detection of influenza all take at least several hours and require specialist equipment and trained analysts. Rapid diagnostic tests do exist, but all are relatively crude and unable to distinguish between seasonal, pandemic and animal strains of influenza virus. The aim of this project is to develop a simple diagnostic test, based on practical and inexpensive gold nanoparticle-based colorimetric assays. Gold nanoparticles in aqueous solution exhibit an intense red colour that upon clustering of the nanoparticles changes colour to purple - readily observed with the naked eye. By functionalising gold nanoparticles with specific carbohydrate ligands, glyconanoparticles capable of clustering on flu virus surfaces will be developed, thus detecting and discriminating between human and animal strains.

Publications

10 25 50
 
Description New monovalent and trivalent ligands for flu sensors have been synthesised, immobilised on gold nanoparticles and evaluated against a panel of 5 strains of human and avian influenza virus.
Exploitation Route Work has transferred to JIC-UEA spin-out Iceni Diagnostics and hence is cinfidential.
Sectors Pharmaceuticals and Medical Biotechnology

 
Description The patent arising from this work has been acquired by Iceni Diagnostics Ltd.
First Year Of Impact 2018
Sector Agriculture, Food and Drink,Healthcare,Pharmaceuticals and Medical Biotechnology
 
Company Name Iceni Diagnostics Ltd 
Description Iceni Diagnsoptics offers bespoke solutions to third parties with requirement in carbohydrate and bioconjugation chemistry. It also has an in house program of glycodiagnostics development. 
Year Established 2014 
Impact Too early