  Manufacturers of nanoparticle-based products rely on detailed information
about critical process parameters, such as particle size and size
distributions, concentration, and material composition, which directly reflect
the quality of the final product. These process parameters are often obtained
using offline characterization techniques that cannot provide the temporal
resolution to detect dynamic changes in particle ensembles during a production
process. To overcome this deficiency, we have recently introduced Optofluidic
Force Induction (OF2i) for optical real-time counting with single particle
sensitivity and high throughput. In this paper, we apply OF2i to highly
polydisperse and multi modal particle systems, where we also monitor
evolutionary processes over large time scales. For oil-in-water emulsions we
detect in real time the transition between high-pressure homogenization states.
For silicon carbide nanoparticles, we exploit the dynamic OF2i measurement
capabilities to introduce a novel process feedback parameter based on the
dissociation of particle agglomerates. Our results demonstrate that OF2i
provides a versatile workbench for process feedback in a wide range of
applications.
