Monte Carlo analysis of sedimentation experiments
Monte Carlo analysis of sedimentation experiments
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DOI：
10.1007/s00396-007-1699-4
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发表时间：
2008-02-01
影响因子：
2.4
通讯作者：
Brookes, Emre
中科院分区：
文献类型：
--
作者：
Demeler, Borries;Brookes, Emre
最近开发了用于沉降实验的高分辨率分析方法，该方法有望通过识别形状和分子量分布来提供对非均质样品的详细描述。在这项研究中，我们描述了实验噪声对此类测定的准确度和精密度的影响，并提供了一种随机蒙特卡罗方法，该方法通过确定描述每种溶质的参数的可信区间来可靠地量化噪声的影响。因此，我们现在可以为确定的参数预测可靠的可信区间。我们还探讨了各种试验参数对可信区间的影响，并通过应用一些实用的沉降试验设计规则，提出了改进统计量的建议。
High resolution analysis approaches for sedimentation experiments have recently been developed that promise to provide a detailed description of heterogeneous samples by identifying both shape and molecular weight distributions. In this study, we describe the effect experimental noise has on the accuracy and precision of such determinations and offer a stochastic Monte Carlo approach, which reliably quantifies the effect of noise by determining the confidence intervals for the parameters that describe each solute. As a result, we can now predict reliable confidence intervals for determined parameters. We also explore the effect of various experimental parameters on the confidence intervals and provide suggestions for improving the statistics by applying a few practical rules for the design of sedimentation experiments.