MSTARA and MSTARI: Interactive PC algorithms for simple, model independent evaluation of sedimentation equilibrium data
MSTARA and MSTARI: Interactive PC algorithms for simple, model independent evaluation of sedimentation equilibrium data
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DOI：
10.1007/s002490050047
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发表时间：
1997-01-01
影响因子：
2
通讯作者：
Harding, SE
中科院分区：
文献类型：
--
作者：
Colfen, H;Harding, SE
本文介绍了一个可用于PC机的程序，用于从沉降平衡中估算分子量。该程序有两种形式：用于吸收光学记录的MSTARA和用于干涉光学记录的MSTARI。并且考虑了超浓缩池中的整个溶质分布（即从溶液弯月面到池底），而不仅仅是选定的数据集。因此，推荐MSTARA或MSTARI作为来自基于吸收或干扰的分析超滤的沉积平衡数据的第一分析程序。因此，如果怀疑存在异质性（多分散性或相互作用现象）或非理想性，这些方案特别适合。他们的使用证明了一系列的数据集类型（理想的，非理想的，多分散和自关联）。虽然MSTARA和MSTARI是模型独立的，但它们通过将ASCII码轻松导出到模型相关例程，为更详细的相互作用、多分散分布或非理想性分析提供了基础。
This paper describes a program available for PC's for the evaluation of molecular weights from sedimentation equilibrium This program, in its two forms MSTARA for absorption optical records and MSTARI for interference optical records - requires no prior assumption of the nature of the system (ideal, non-ideal, monodisperse, polydisperse, self-associating etc.) and takes into consideration the whole solute distribution (i.e. from solution meniscus to cell base) in the ultracentrifuge cell rather than just a selected data-set. MSTARA or MSTARI are therefore recommended as a first analysis programme of sedimentation equilibrium data coming off an absorption or interference based analytical ultracentrifuge. These programmes are therefore particularly well suited if heterogeneity (polydispersity or interaction phenomena) or nonideality is suspected. Their use is demonstrated for a series of data-set types (ideal, non-ideal, polydisperse and self-associating). Although MSTARA and MSTARI are model independent, they provide the basis for more detailed analysis of interactions, polydisperse distributions or non-ideality via easy export of ASCII datafiles to model dependent routines.