How is the polydispersity index (PDI) calculated?

The polydispersity index (PDI) is a measure of the heterogeneity of particle sizes in the sample and is derived from fitting the autocorrelation function. 

 

The polydispersity of a sample is the standard deviation of the distribution divided by the mean radius. To obtain the polydispersity index, this value is squared. The PDI calculation is specified in the ISO 22412 on DLS measurements and for the cumulants analysis defined as:

 

Equation4.svg

 

where mis Equation5.svg and G is the mean decay rate proportional to the mean translational diffusion coefficient D which is used to calculate rH

 

For the size distribution model, PR.Panta Control reports the hydrodynamic radii and PDI for up to three discreet peaks in the tabulated results. The PDI of each size distribution peak is defined as:

 

Equation6.svg

where Equation7.svg is the intensity-weighted average radius of the peak, Equation8.svg the radius i, and Equation9.svg the intensity-weighted amount of particles with size Equation8.svg.

 

Since the calculation of the PDI differs between the two fitting models, the output PDI values may also differ. In PR.Panta Control the PDI is automatically calculated for both models for each acquisition.

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