| Literature DB >> 27622569 |
Abraham G Beyene1,2, Gozde S Demirer1,2, Markita P Landry1,2.
Abstract
Molecular recognition of biological analytes with optical nanosensors provides both spatial and temporal biochemical information. A recently developed sensing platform exploits near-infrared fluorescent single-wall carbon nanotubes combined with electrostatically pinned heteropolymers to yield a synthetic molecular recognition technique that is maximally transparent through biological matter. This molecular recognition technique is known as corona phase molecular recognition (CoPhMoRe). In CoPhMoRe, the specificity of a folded polymer toward an analyte does not arise from a pre-existing polymer-analyte chemical affinity. Rather, specificity is conferred through conformational changes undergone by a polymer that is pinned to the surface of a nanoparticle in the presence of an analyte and the subsequent modifications in fluorescence readout of the nanoparticles. The protocols in this article describe a novel single-molecule microscopy tool (near-infrared fluorescence and total internal reflection fluorescence [nIRF TIRF] hybrid microscope) to visualize the CoPhMoRe recognition process, enabling a better understanding of synthetic molecular recognition. We describe this requisite microscope for simultaneous single-molecule visualization of optical molecular recognition and signal transduction. We elaborate on the general procedures for synthesizing and identifying single-walled carbon nanotube-based sensors that employ CoPhMoRe via two biologically relevant examples of single-molecule recognition for the hormone estradiol and the neurotransmitter dopamine. © 2016 by John Wiley & Sons, Inc.Entities:
Keywords: fluorescence microscopy; molecular recognition; nIRF TIRF hybrid microscope; nanoparticles; near-infrared imaging; neurotransmitter; screening; sensors; single molecule imaging; single-walled carbon nanotube (SWCNT)
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Year: 2016 PMID: 27622569 DOI: 10.1002/cpch.10
Source DB: PubMed Journal: Curr Protoc Chem Biol ISSN: 2160-4762