By Cole, James L

ISBN-10: 0128029080

ISBN-13: 9780128029084

ISBN-10: 0128029099

ISBN-13: 9780128029091

Analytical Ultracentrifugation, the most recent quantity in Methods in Enzymology, makes a speciality of analytical ultracentrifugation. The scope of this method has tremendously extended lately as a result of advances in instrumentation, algorithms and software program.

This quantity describes the most recent concepts within the box and within the purposes of analytical ultracentrifugation within the research of macromolecules, macromolecular assemblies, and biopharmaceuticals.

  • Timely contribution that describes a swiftly altering field
  • Leading researchers within the field
  • Broad assurance: instrumentation, uncomplicated concept, information research, and applications

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Demeler, B. (2008). Parallel computational techniques for the analysis of sedimentation velocity experiments in UltraScan. Colloid & Polymer Science, 286(2), 138–148. , & Demeler, B. (2005). Modeling analytical ultracentrifugation experiments with an adaptive space-time finite element solution of the Lamm equation. Biophysical Journal, 89(3), 1589–1602. , & Demeler, B. (2008). Modeling analytical ultracentrifugation experiments with an adaptive space-time finite element solution for multi-component reacting systems.

Since wavelength scans from the MWLD experiment are not available as a dilution series, each wavelength scan W from the MWL instrument is used directly in the NNLS fit. Once the amplitudes xl have been determined for each radial position and each time point, a new transformed dataset Bk can be constructed for each component k, yielding the concentration of component k as a function of radius and time. Conventional analysis of the resulting 3D datasets now provides the sedimentation profiles for spectrally distinct components, as well as any formed complexes containing the component.

We suspect the residual error is likely due to pipetting error, and not instrument or algorithm related. These results demonstrate that different ratios of a mixture of protein and nucleic acid can be accurately resolved by spectral decomposition, even Next-Generation AUC 43 Figure 8 Comparison of results from the dual-wavelength AUC/GA analysis with the spectral decomposition method to ascertain the relative composition of spectrally different components in mixtures. The results clearly show that the spectral decomposition achieves even higher fidelity in reproducing the known target values than single-wavelength AUC/GA.

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