Measuring Protein Binding to Individual Hydrogel Nanoparticles with Single-Nanoparticle Surface Plasmon Resonance Imaging Microscopy

The specific binding and uptake of protein molecules to individual hydrogel nanoparticles is measured with real-time single-nanoparticle surface plasmon resonance imaging (SPRI) microscopy. Nanoparticles that adsorb onto chemically modified gold thin films interact with traveling surface plasmon pol...

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Veröffentlicht in:Journal of physical chemistry. C 2016-08, Vol.120 (30), p.16843-16849
Hauptverfasser: Maley, Adam M., Terada, Yuhei, Onogi, Shunsuke, Shea, Kenneth J., Miura, Yoshiko, Corn, Robert M.
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container_end_page 16849
container_issue 30
container_start_page 16843
container_title Journal of physical chemistry. C
container_volume 120
creator Maley, Adam M.
Terada, Yuhei
Onogi, Shunsuke
Shea, Kenneth J.
Miura, Yoshiko
Corn, Robert M.
description The specific binding and uptake of protein molecules to individual hydrogel nanoparticles is measured with real-time single-nanoparticle surface plasmon resonance imaging (SPRI) microscopy. Nanoparticles that adsorb onto chemically modified gold thin films interact with traveling surface plasmon polaritons and create individual point diffraction patterns in the SPRI microscopy differential reflectivity images. The intensity of each point diffraction pattern depends on the integrated refractive index of the nanoparticle; an increase in this single nanoparticle point diffraction intensity (Δ%R NP) is observed for nanoparticles that bind proteins. SPRI adsorption measurements can be used to measure an average increase in Δ%R NP that can be correlated with bulk dynamic light scattering measurements. Moreover, the distribution of Δ%R NP values observed for individual nanoparticles can be used to learn more about the nature of the protein–nanoparticle interaction. As a first example, the binding of the lectin Concanavalin A to 180 nm N-Isopropylacrylamide hydrogel nanoparticles that incorporate a small percentage of mannose sugar monomer units is characterized.
doi_str_mv 10.1021/acs.jpcc.6b05700
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