DLS - Instruct-CZ

Light scattering is caused by the interaction of light with dispersed particles (typically in solution), while organized particles (typically in crystal) result in diffraction phenomenon. The intensity of the scattered light depends on the size and the shape of the interacting particles. The experiment using visible light may be performed in two different modes: dynamic and static light scattering. Dynamic light scattering (DLS) measurement analyses the time variance in the scattered light. Static light scattering (SLS) measurement depends on the analysis of light scattering at various angles with respect to the incident beam.

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DLS - Instruct-CZ

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User Guide

  • DelsaMax Core Dynamic/static light scattering (DLS/SLS) - is used for the analysis of protein solutions, aggregates, promiscuous inhibitors, buffers, nanoparticles, polymers or other products in solution.
  • DLS can measure the polydispersity of your sample and hydrodynamic radii (size) of the particles. This is particularly beneficial in sample characterization prior to crystallization or other experiments.
  • Broad spectrum of particle sizes can be analysed (hydrodynamic radius range of 0.2 to 2,500 nm)
  • In static light scattering (SLS) the average molecular weight of a particle in solution can be obtained (range of 300-106 Da, concentration-dependent)
Established methodologies and provided services:
  • Sample polydispersity analysis
  • Particle size analysis (hydrodynamic radius)
  • Molecular weight determination
  • Data analysis
  • Training in data analysis
Sample requirements:
  • 20 ┬Ál of each sample required, the same volume of buffer without studied particle is recommended
  • For protein solutions, 0.1 mg/ml concentration and higher is recommended.
  • Method accessible range is 0.4 to 5,000 nm in hydrodynamic radius, up to 10 MDa in molecular weight (concentration dependent)
  • Standard laboratory plastic-compatible buffers are suitable
  • For particle size determination high monodispersity (homogeneity) of the sample is strongly recommended.