journal article·2021-06-01

Stability and Performance Study of Fluorescent Organosilica pH Nanosensors

Gabriel T. Huynh, Edward C. Henderson, Jessica E. Frith, Laurence Meagher, Simon R. Corrie

Langmuir· Volume 37· Issue 21
Publisher page

Abstract

Long-term stability and function are key challenges for optical nanosensors operating in complex biological environments. While much focus is rightly placed on issues related to specificity, sensitivity, reversibility, and response time, many nanosensors are not capable of transducing accurate results over prolonged time periods. Sensors could fail over time due to the degradation of scaffold material, degradation of signaling dyes and components, or a combination of both. It is critical to investigate how such degradative processes affect sensor output, as the consequences could be severe. Herein, we used fluorescent core-shell organosilica pH nanosensors as a model system, incubating them in a range of common aqueous solutions over time at different temperatures, and then searched for changes in fluorescence signal, particle size, and evidence of silica degradation. We found that these ratiometric nanosensors produced stable optical signals after aging for 30 days at 37 °C in standard saline buffers with and without 10% fetal bovine serum, and without any evidence of material degradation. Next, we evaluated their performance as real-time pH nanosensors in bacterial suspension cultures, observing a close agreement with a pH electrode for control nanosensors, yet observing obvious deviations in signal based on the aging conditions. The results show that while the organosilica scaffold does not degrade appreciably over time, careful selection of dyes and further systematic investigations into the effects of salt and protein levels are required to realize long-term stable nanosensors.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Analytical Chemistry and Sensors · Acoustic Wave Resonator Technologies · Electrochemical sensors and biosensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemical Engineering, Monash University, Clayton, VIC 3800, Australia

ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, Monash Node, Clayton, VIC 3800, Australia

Monash Institute of Medical Engineering, Monash University, Clayton, VIC 3800, Australia

Department of Material Science and Engineering, Monash University, Clayton, VIC 3800, Australia

ARC Training Centre for Cell and Tissue Engineering Technologies, Monash University, Clayton, VIC 3800, Australia

Funding

Australian Research Council · Australian Government

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