Comments on the Analysis of Sedimentation Equilibrium Experiments

  • Michael L. Johnson
  • Martin Straume
Part of the Emerging Biochemical and Biophysical Techniques book series (EBBT)


The normal method for the analysis of data from sedimentation equilibrium experiments is to “fit” the experimental data to a functional form, described below. The functional form is in terms of parameters, such as molecular weights and equilibrium constants, which describe the chemistry of the solution. There are three goals of this fitting operation. The first goal is to evaluate the parameter values with the highest probability (maximum likelihood) of being correct. The second objective is to provide a statistically based measure of the precision to which the maximum likelihood parameter values were determined. The third goal is to provide criteria to answer the question, “Do the functional form and the maximum likelihood parameters provide a good description of the data?” In other words, test for goodness-of-fit.


Virial Coefficient High Order Derivative Sedimentation Equilibrium Asymptotic Standard Error Maximum Likelihood Parameter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Birkhäuser Boston 1994

Authors and Affiliations

  • Michael L. Johnson
  • Martin Straume

There are no affiliations available

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