posted on 2021-11-04, 12:38authored byLuke Melo, Angus Hui, Matt Kowal, Eric Boateng, Zahra Poursorkh, Edène Rocheron, Jake Wong, Ashton Christy, Edward Grant
Specialized applications
of nanoparticles often call for particular,
well-characterized particle size distributions in solution, but this
property can prove difficult to measure. High-throughput methods,
such as dynamic light scattering, detect nanoparticles in solution
with an efficiency that scales with diameter to the sixth power. This
diminishes the accuracy of any determination that must span a range
of particle sizes. The accurate classification of broadly distributed
systems thus requires very large numbers of measurements. Mass-filtered
particle-sensing techniques offer a better dynamic range but are labor-intensive
and so have low throughput. Progress in many areas of nanotechnology
requires a faster, lower-cost, and more accurate measure of particle
size distributions, particularly for diameters smaller than 20 nm.
Here, we present a tailored interferometric microscope system, combined
with a high-speed image-processing strategy, optimized for real-time
particle tracking that determines accurate size distributions in nominal
5, 10, and 15 nm colloidal gold nanoparticle systems by automatically
sensing and classifying thousands of single particles sampled from
solution at rates as high as 4000 particles per minute. We demonstrate
this method by sensing the irreversible binding of gold nanoparticles
to poly-d-lysine functionalized coverslips. Variations in
the single-particle signal as a function of time and mass, calibrated
by TEM, show clear evidence for the presence of diffusion-limited
transport that most affects larger particles in solution.