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Compact Fiber Optic Dynamic Light Scattering System
1Center for Advanced Materials Processing, Clarkson University, Potsdam, New York, 13699
Journal of Colloid and Interface Science
|September 15, 1997
Summary
Fiber optic dynamic light scattering (FODLS) measures particle sizes in concentrated dispersions. FODLS can distinguish between collective and self-diffusion, making its apparent diffusion coefficient a useful relative quantity for process industries.
Area of Science:
- Materials Science
- Chemical Engineering
- Optics
Background:
- Fiber optic dynamic light scattering (FODLS) is an emerging technique for particle sizing.
- Its application in concentrated dispersions is crucial for process industries.
- Online particle size measurement is a key industrial requirement.
Purpose of the Study:
- To investigate the capabilities of FODLS for particle size analysis in concentrated dispersions.
- To evaluate the influence of particle size, volume fraction, and signal-to-noise ratio on FODLS measurements.
- To determine whether FODLS probes self-diffusion or collective diffusion based on particle size.
Main Methods:
- Utilized two different laser light sources for experiments.
- Studied monodisperse polystyrene latex dispersions with varying particle sizes and volume fractions.
- Analyzed apparent diffusion coefficients as a function of experimental parameters.
Main Results:
- Apparent diffusion coefficients were dependent on particle size, volume fraction, and signal-to-noise ratios.
- FODLS demonstrated the ability to probe collective diffusion for smaller particles and self-diffusion for larger particles.
- In polydisperse concentrated dispersions, FODLS probed both self and collective diffusion.
Conclusions:
- The apparent diffusion coefficient obtained from FODLS in concentrated dispersions is a relative quantity.
- FODLS is a promising technique for online particle size measurement in industrial processes.
- Understanding the probed diffusion mode (self vs. collective) is essential for accurate interpretation of FODLS data.