Enhancing FRET biosensing beyond 10 nm with photon avalanche nanoparticles. Issue 10 (14th September 2020)

• Record Type: Journal Article
• Authors: Bednarkiewicz, Artur; Chan, Emory M.; Prorok, Katarzyna
• Is Part Of: Nanoscale advances. Volume 2:Issue 10(2020)
• Page Start: 4863
• Page End: 4872
• Publication Date: 2020-09-14
• Subjects: 620.5
• DOI: 10.1039/d0na00404a
• Languages: English
• ISSNs: 2516-0230

Abstract

Abstract : Photon Avalanche nanoparticles as energy donors should extend the sensitivity range in Förster Resonance Energy Transfer (FRET) sensing to a few-fold longer distances as compared to conventional linear luminescent donors. 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.