带形超离心中密度和粘度梯度变化的预测模型。

IF 2.4 4区 生物学 Q3 BIOPHYSICS
Lukas Dobler, Emre Brookes, Piotr Grodzki, Maciej Lisicki, Borries Demeler, Helmut Cölfen, Piotr Szymczak
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引用次数: 0

摘要

带形成实验允许通过在分析型超离心机中覆盖两种不同密度的溶液来研究各种各样的系统。尽管这些实验比其他方法有潜在的好处,但很少使用这些实验,因为所有可用的拟合软件都会遇到系统误差,无法解释由于两层之间扩散混合而导致的密度和粘度梯度的演变。我们开发并实验验证了一个预测模型的纯扩散混合两种溶液在一个圆柱形系统。该模型捕获了密度和粘度在波段形成实验中的时空依赖演变,增强了它们的解释,并强调了分析软件对这些动态变化的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive model for evolving density and viscosity gradients in band-forming ultracentrifugation.

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.

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来源期刊
European Biophysics Journal
European Biophysics Journal 生物-生物物理
CiteScore
4.30
自引率
0.00%
发文量
43
审稿时长
6-12 weeks
期刊介绍: The journal publishes papers in the field of biophysics, which is defined as the study of biological phenomena by using physical methods and concepts. Original papers, reviews and Biophysics letters are published. The primary goal of this journal is to advance the understanding of biological structure and function by application of the principles of physical science, and by presenting the work in a biophysical context. Papers employing a distinctively biophysical approach at all levels of biological organisation will be considered, as will both experimental and theoretical studies. The criteria for acceptance are scientific content, originality and relevance to biological systems of current interest and importance. Principal areas of interest include: - Structure and dynamics of biological macromolecules - Membrane biophysics and ion channels - Cell biophysics and organisation - Macromolecular assemblies - Biophysical methods and instrumentation - Advanced microscopics - System dynamics.
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