Issue 10, 2020

Enhancing FRET biosensing beyond 10 nm with photon avalanche nanoparticles

Abstract

Förster Resonance Energy Transfer (FRET) between donor (D) and acceptor (A) molecules is a phenomenon commonly exploited to study or visualize biological interactions at the molecular level. However, commonly used organic D and A molecules often suffer from photobleaching and spectral bleed-through, and their spectral properties hinder quantitative analysis. Lanthanide-doped upconverting nanoparticles (UCNPs) as alternative D species offer significant improvements in terms of photostability, spectral purity and background-free luminescence detection, but they bring new challenges related to multiple donor ions existing in a single large size UCNP and the need for nanoparticle biofunctionalization. Considering the relatively short Förster distance (typically below 5–7 nm), it becomes a non-trivial task to assure sufficiently strong D–A interaction, which translates directly to the sensitivity of such bio-sensors. In this work we propose a solution to these issues, which employs the photon avalanche (PA) phenomenon in lanthanide-doped materials. Using theoretical modelling, we predict that these PA systems would be highly susceptible to the presence of A and that the estimated sensitivity range extends to distances 2 to 4 times longer (i.e. 10–25 nm) than those typically found in conventional FRET systems. This promises high sensitivity, low background and spectral or temporal biosensing, and provides the basis for a radically novel approach to combine luminescence imaging and self-normalized bio-molecular interaction sensing.

Graphical abstract: Enhancing FRET biosensing beyond 10 nm with photon avalanche nanoparticles

Supplementary files

Article information

Article type
Paper
Submitted
19 May 2020
Accepted
12 Aug 2020
First published
18 Aug 2020
This article is Open Access
Creative Commons BY-NC license

Nanoscale Adv., 2020,2, 4863-4872

Enhancing FRET biosensing beyond 10 nm with photon avalanche nanoparticles

A. Bednarkiewicz, E. M. Chan and K. Prorok, Nanoscale Adv., 2020, 2, 4863 DOI: 10.1039/D0NA00404A

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