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Self-diffusion Cumulative

In dynamic LLS, the Laplace inversion of each measured intensity-intensity time correlation function G q, t) in the self-beating mode can result in a line-width distribution G(L). G(7) can be converted into a translational diffusion coefficient distribution G(D) or further a hydrodynamic radius distribution /(Rh) via the Stokes-Einstein equation, Rh = (kBTI6nrio)/D, where kB, T and qo are the Boltzmann constant, the absolute temperature and the solvent viscosity, respectively. The time correlation functions were analyzed by both the cumulants and CONTIN analysis. [Pg.128]

See other pages where Self-diffusion Cumulative is mentioned: [Pg.242]    [Pg.429]    [Pg.126]    [Pg.320]    [Pg.79]    [Pg.291]    [Pg.413]    [Pg.151]    [Pg.186]    [Pg.133]    [Pg.169]   
See also in sourсe #XX -- [ Pg.2 , Pg.2 , Pg.2 , Pg.281 , Pg.282 , Pg.283 , Pg.284 , Pg.285 , Pg.286 , Pg.287 , Pg.288 , Pg.302 , Pg.334 ]



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