Analytical Ultracentrifugation
Analytical Ultracentrifugation
复制标题
分析超速离心
DOI：
10.1007/978-4-431-55985-6_18
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Harding S
中科院分区：
文献类型：
--
作者：
Harding S
摩尔质量或‘分子质量’是描述大分子的最基本参数之一。由于其多分散性，多糖通常用摩尔质量分布来描述。SEC-MALS(尺寸排除层析与多角度光散射耦合)通常是一种方便的选择方法，但在许多情况下它是不合适的。现代分析超速离心法提供了一种有价值的替代方法--现在比以前更容易使用--在简要回顾了一些较旧的方法之后，我们重点介绍了最近发表的两种互补方法，即用于分析沉积速度数据的扩展Fujita方法和用于分析沉积平衡数据的SEDFIT-MStar方法。非理想性需要被考虑，并且可以以标准的方式处理。这些方法还可以指示是否存在关联现象，然后可以使用更复杂的AUC算法对其进行量化。
Molar mass or ‘molecular weight’ is one of the most fundamental parameters describing a macromolecule. Because of their polydisperse nature, polysaccharides are usually described by distributions of molar mass. SEC-MALS (size exclusion chromatography coupled to multi-angle light scattering) is often a convenient method of choice, but there are many instances where it is unsuitable. Modern AUC (analytical ultracentrifuge) methods provide a valuable alternative – now easier to use than before – and, after briefly reviewing some older procedures, we highlight two recently published and complementary methods, namely, the ‘Extended Fujita’ approach for the analysis of sedimentation velocity data and SEDFIT-MSTAR for the analysis of sedimentation equilibrium data. Nonideality needs to be considered and can be dealt with in a standard way. These methods can also indicate if associative phenomena are present, which can then be quantified using more complex AUC algorithms.