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Particle Sizing by DLS. DLS by Particles of Different Sizes particle of radius R 1 particle of radius R 2 total distribution function of  weighted by.

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Presentation on theme: "Particle Sizing by DLS. DLS by Particles of Different Sizes particle of radius R 1 particle of radius R 2 total distribution function of  weighted by."— Presentation transcript:

1 Particle Sizing by DLS

2 DLS by Particles of Different Sizes particle of radius R 1 particle of radius R 2 total distribution function of  weighted by the scattering intensity intensity

3 Analysis of Autocorrelation Functions 1. Cumulant expansion (Unimodal analysis) 2. Inverse-Laplace transform (SDP analysis)

4 Cumulant Expansion (Unimodal analysis) where 1st cumulant 2nd cumulant Curve fitting by a second -order polynomial yields the coefficients. (polydispersity)

5 Inverse-Laplace Transform (SDP Analysis) is the Laplace transform of G(  ).

6 Examples of Inverse-Laplace Transform monodisperse unimodal distribution bimodal distribution

7 Relationship between Unimodal Analysis and SDP Analysis harmonic average weighted by the scattering intensity

8 Example of a Bimodal Distribution What is the average radius (estimated by DLS) for an equal mass mixture of spheres of two radii R 1 and R 2 ? Assume R 1 = 10 nm and R 2 = 100 nm. The average depends on k. Plot as a function of . Plot G 2 /G 1 as a function of .

9 Diffusion vs. Internal Relaxation

10 Examples of Internal Relaxation Rotation of a rodlike moleculeRouse normal modes Elastic motions of a gelReacting system


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