Next-Generation AUC: Analysis of Multiwavelength Analytical Ultracentrifugation Data


  • Analytical ultracentrifugation (AUC) is a vital tool for characterizing macromolecules in a solution. Traditional AUC detectors provide information about the hydrodynamic parameters of analytes, revealing data such as sedimentation and diffusion coefficients, as well as partial concentration. However, the introduction of multiwavelength data has greatly increased data density, which presents new challenges in terms of data analysis and management.
  • While biopolymers like nucleic acids and proteins have distinct spectra that can be detected by multiwavelength instruments, effectively managing and analyzing this information requires a new approach.
  • Additionally, traditional single-wavelength detectors had their limitations, necessitating more advanced methodologies to capture the richness of the data provided by the multiwavelength system.


  • The UltraScan software was enhanced with new data analysis and management approaches to address the challenges posed by multiwavelength data. The added spectral dimension, combined with this software, allows for more detailed insights.
  • Notably, when spectral properties are known, components with unique spectral properties in a mixture can be distinctly separated and decomposed into traditional datasets, even if their sedimentation coefficients are very similar. This makes it possible to distinguish between various components in complex mixtures, a feat that was challenging using traditional methods.
  • The combination of the multiwavelength detector system and advanced analysis tools enables researchers to explore and understand complex molecular interactions with unprecedented depth and detail.


  • Multiwavelength data analysis provides superior results, revealing more detailed information about the system under study. Specifically, using established spectra, BSA-DNA mixtures were decomposed, resulting in a 100% separation between DNA and BSA.
  • By separating signals based on spectral species, the hydrodynamic resolution is enhanced, and characterization of the system improves.
  • The third-generation multiwavelength analysis (MWA) systems, such as the CFA by SpinAnalytical, promise even better data quality without relying on fibers.
  • In the future, the multiwavelength approach in AUC is expected to offer enhanced resolution for studying multicomponent assemblies, resolve molecular weight ambiguities, and be a pivotal technique for analyzing complex mixtures, outpacing traditional AUC methods.
Download full Study
Comparability Studies
Material Science (metal nanoparticles, synthetic polymers, drug compounds)

© 2024 All Rights Reserved.