Related Experiment Video
Updated: May 20, 2026

07:08
Nanoparticle Tracking Analysis of Gold Nanoparticles in Aqueous Media through an Inter-Laboratory Comparison
Published on: October 20, 2020
The analytical model of nanoparticle recovery by microflotation
N Mishchuk1, J Ralston, D Fornasiero
1Institute of Colloid and Water Chemistry, National Academy of Sciences of Ukraine, Kyiv 03680, Ukraine. nat_mis@ukr.net
Advances in Colloid and Interface Science
|July 25, 2012
Summary
A new model explains how tiny Brownian particles collide with and collect on bubbles by analyzing a special layer and energy barriers. This study provides simple formulas for collision rates and collection efficiency.
Area of Science:
- Fluid dynamics
- Colloid science
- Surface chemistry
Background:
- Brownian motion drives particle movement.
- Particle-bubble interactions involve energy barriers.
- Convective-diffusion layers influence particle transport near interfaces.
Purpose of the Study:
- To develop a theoretical model for collision and collection of submicron particles by bubbles.
- To derive analytical expressions for collision rate and collection efficiency.
- To analyze the conditions leading to minimums in collision/collection and the theory's applicability limits.
Main Methods:
- Modeling the convective-diffusion layer near a bubble surface.
- Incorporating particle-bubble interaction energy barriers.
- Deriving analytical solutions for particle collision and collection dynamics.
Main Results:
- A model was developed for Brownian particle collision and collection on bubbles.
- Simple analytical expressions for collision rate and collection efficiency were obtained.
- Collision and collection minimums and theory limits were analyzed.
Conclusions:
- The developed model provides a framework for understanding particle-bubble interactions.
- The analytical expressions offer quantitative predictions for collision and collection processes.
- The study highlights the importance of convective-diffusion layers and energy barriers and defines the scope of the model's applicability.

