首页> 外文期刊>The Analyst: The Analytical Journal of the Royal Society of Chemistry: A Monthly International Publication Dealing with All Branches of Analytical Chemistry >SEDFIT-MSTAR: molecular weight and molecular weight distribution analysis of polymers by sedimentation equilibrium in the ultracentrifuge
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SEDFIT-MSTAR: molecular weight and molecular weight distribution analysis of polymers by sedimentation equilibrium in the ultracentrifuge

机译:SEDFIT-MSTAR:通过超速离心机中的沉降平衡分析聚合物的分子量和分子量分布

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摘要

Sedimentation equilibrium (analytical ultracentrifugation) is one of the most inherently suitable methods for the determination of average molecular weights and molecular weight distributions of polymers, because of its absolute basis (no conformation assumptions) and inherent fractionation ability (without the need for columns or membranes and associated assumptions over inertness). With modern instrumentation it is also possible to run up to 21 samples simultaneously in a single run. Its application has been severely hampered because of difficulties in terms of baseline determination (incorporating estimation of the concentration at the air/solution meniscus) and complexity of the analysis procedures. We describe a new method for baseline determination based on a smart-smoothing principle and built into the highly popular platform SEDFIT for the analysis of the sedimentation behavior of natural and synthetic polymer materials. The SEDFIT-MSTAR procedure - which takes only a few minutes to perform - is tested with four synthetic data sets (including a significantly non-ideal system), a naturally occurring protein (human IgG1) and two naturally occurring carbohydrate polymers (pullulan and λ-carrageenan) in terms of (i) weight average molecular weight for the whole distribution of species in the sample (ii) the variation in "point" average molecular weight with local concentration in the ultracentrifuge cell and (iii) molecular weight distribution.
机译:沉降平衡(分析超速离心)是确定聚合物平均分子量和分子量分布的最固有方法,因为它具有绝对基础(无构象假设)和固有的分馏能力(无需柱或膜)以及有关惰性的假设)。使用现代化的仪器,也可以在一次运行中同时运行多达21个样品。由于在基线确定(结合空气/溶液弯月面浓度的估计)方面的困难和分析程序的复杂性,严重限制了它的应用。我们描述了一种基于智能平滑原理的基线确定新方法,并已建立在高度流行的平台SEDFIT中,用于分析天然和合成聚合物材料的沉降行为。 SEDFIT-MSTAR程序(只需几分钟即可执行)已通过四个合成数据集(包括非常不理想的系统),一种天然存在的蛋白质(人IgG1)和两种天然存在的碳水化合物聚合物(普鲁兰和λ)进行了测试(-角叉菜胶)(i)样品中物种整体分布的重均分子量(ii)“点”平均分子量随超速离心池中局部浓度的变化和(iii)分子量分布。

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