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Two-dimensional flow nanometry of biological nanoparticles for accurate determination of their size and emission intensity

Stephan Block (Institutionen för fysik, Biologisk fysik (Chalmers)) ; Björn Johansson (Institutionen för fysik, Biologisk fysik (Chalmers)) ; Anders Lundgren (Institutionen för fysik, Biologisk fysik (Chalmers)) ; Vladimir P. Zhdanov (Institutionen för fysik, Biologisk fysik (Chalmers)) ; Fredrik Höök (Institutionen för fysik, Biologisk fysik (Chalmers))
Nature Communications (2041-1723). Vol. 7 (2016), p. art no 12956 .
[Artikel, refereegranskad vetenskaplig]

Biological nanoparticles (BNPs) are of high interest due to their key role in various biological processes and use as biomarkers. BNP size and composition are decisive for their functions, but simultaneous determination of both properties with high accuracy remains challenging. Optical microscopy allows precise determination of fluorescence/scattering intensity, but not the size of individual BNPs. The latter is better determined by tracking their random motion in bulk, but the limited illumination volume for tracking this motion impedes reliable intensity determination. Here, we show that by attaching BNPs to a supported lipid bilayer, subjecting them to hydrodynamic flows and tracking their motion via surface-sensitive optical imaging enable determination of their diffusion coefficients and flow-induced drifts, from which accurate quantification of both BNP size and emission intensity can be made. For vesicles, the accuracy of this approach is demonstrated by resolving the expected radius-squared dependence of their fluorescence intensity for radii down to 15 nm.

Nyckelord: single-particle tracking, targeted drug-delivery, extracellular, vesicles, hydrodynamic-forces, tethered vesicle, lipid-bilayers, virus, entry, cytometry, microparticles, endocytosis



Denna post skapades 2016-11-16. Senast ändrad 2017-10-03.
CPL Pubid: 245257

 

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Institutioner (Chalmers)

Institutionen för fysik, Biologisk fysik (Chalmers)

Ämnesområden

Biologisk fysik

Chalmers infrastruktur