AVS 65th International Symposium & Exhibition
    Biomaterial Interfaces Division Tuesday Sessions
       Session BI+AS+IPF+NS-TuA

Paper BI+AS+IPF+NS-TuA2
Organosilica pH Nanosensors Applied to Realtime Metabolite Monitoring

Tuesday, October 23, 2018, 2:40 pm, Room 101B

Session: IoT Session: Biofabrication, Bioanalytics, Biosensors and Diagnostics and Flash Networking Session
Presenter: Kye Robinson, Monash University, Australia
Authors: K. Robinson, Monash University, Australia
K. Thurecht, University of Queensland, Australia
S. Corrie, Monash University, Australia
Correspondent: Click to Email

Continuous monitoring of biomarkers in biological environments is a key challenge for the development of biosensors capable of providing real-time feedback1. These sensors promise to aid in the treatment of diseases with a highly dynamic nature however current technologies remain scarce1. Nanoparticle based “optodes” have emerged as sensitive and tuneable biosensors, using chromo/ionophores to generate analyte-specific changes in fluorescence spectra in a dynamic and reversible manner. Currently this type of sensor suffers from limitations including leaching of reagents from the nanoparticles over time, combined with poor colloidal stability and resistance to fouling in biological fluids.

An organosilica core-shell pH sensitive nanoparticle containing a mixture of covalently incorporated pH-sensitive (shell) and pH-insensitive (core) fluorescent dyes has been developed. This platform demonstrates good long term stability (80 days), fast response time (<100 ms) and resistance to fouling in biological conditions2. This presentation will describe the modification of these pH sensing particles towards the production of a lactate responsive particle for sensing through coupling with lactate dehydrogenase. Here we will present our latest results focussed on enzyme encapsulation in addition to modulation of shell parameters including thickness and degree of crosslinking in order to tune response kinetics for application in biological tissues.

1 Corrie, S. R. et al., Analyst, 2015, 140, 4350-4364

2 Robinson, K. J. et al., ACS Sensors, 2018