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带状形成超速离心中密度和粘度梯度演变的预测模型。

Predictive model for evolving density and viscosity gradients in band-forming ultracentrifugation.

作者信息

Dobler Lukas, Brookes Emre, Grodzki Piotr, Lisicki Maciej, Demeler Borries, Cölfen Helmut, Szymczak Piotr

机构信息

Department of Chemistry, Universität Konstanz, Konstanz, Germany.

Department of Chemistry and Biochemistry, University of Montana, Missoula, USA.

出版信息

Eur Biophys J. 2025 Jun 13. doi: 10.1007/s00249-025-01759-7.

Abstract

Band-forming experiments allow the study of a wide variety of systems by overlaying two solutions with different densities in an analytical ultracentrifuge. Despite their potential benefits over other methods, these experiments are rarely used because all available fitting software encounters systematic errors, failing to account for the evolving gradient in density and viscosity due to diffusive mixing between the two layers. We develop and experimentally validate a predictive model for the purely diffusive mixing of two solutions in a cylindrical system. Capturing the space- and time-dependent evolution of density and viscosity in band-forming experiments, the model enhances their interpretation and underscores the need for analysis software to account for these dynamic changes.

摘要

区带形成实验允许通过在分析超离心机中叠加两种具有不同密度的溶液来研究各种各样的系统。尽管与其他方法相比它们有潜在的优势,但这些实验很少被使用,因为所有现有的拟合软件都会遇到系统误差,无法考虑到由于两层之间的扩散混合而导致的密度和粘度不断变化的梯度。我们开发并通过实验验证了一个用于圆柱形系统中两种溶液纯扩散混合的预测模型。该模型捕捉了区带形成实验中密度和粘度随空间和时间的演变,增强了对这些实验的解释,并强调了分析软件考虑这些动态变化的必要性。

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