Dynamic Light Scattering (DLS)
Dynamic Light Scattering (DLS - also known as Photon Correlation Spectroscopy or Quasi-Elastic Light Scattering) is one of the most popular light scattering techniques that can be used to determine the size distribution profile of small particles in suspensions, emulsions, micelles, polymers, proteins, nanoparticles or colloids.
Small particles in suspension undergo random thermal motion known as Brownian motion. This random motion is modeled by the Stokes-Einstein equation, according to which the diffusion coefficient (D) is inversely proportional to the particle size (d).
In this technique, the suspension is illuminated by a laser beam and the fluctuations of the scattered light from particle is random motion are detected, at a known scattering angle θ, by a fast photon detector. Hydrodynamic diameter of the suspended particles is obtained by calculating the auto correlation functions of the time dependent intensity fluctuations. Multi-angle instruments can determine the full particle size distribution. And the same technique can provide zeta potential (surface charge) of the particles using the electrophoretic light scattering and laser doppler method.
Our research group have access to Beckman Coulter Delsa Nano Submicron Particle analyzer that has the capability to measure full particle size distribution and zeta potential with the use of various sample holders; disposable size/zeta cell, flow cell, high concentration cell, flat surface cell and low conductivity cell, depending on the exact information required.
Laser source
Lens
Lens
Photon detector
Sample
ADMINISTRATIVE ASSISTANT
GAYAN R. RUBASINGHEGE
Associate Professor of Chemistry
New Mexico Institute of Mining and Technology
Department of Chemistry
801 Leroy Place
Socorro, NM 87801
Bethany Jessen
New Mexico Institute of Mining and Technology
Department of Chemistry
801 Leroy Place
Socorro, NM 87801
Phone: 575-835-5129
Fax: 575-835-5215
Phone: 575-835-5263
Fax: 575-835-5364
Copyright © 2018 The Environmental Chemistry Research Research Group. All rights reserved.