Characterizing property distributions of polymeric nanogels by size-exclusion chromatography
Characterizing property distributions of polymeric nanogels by size-exclusion chromatography
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DOI：
10.1016/j.chroma.2007.01.116
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发表时间：
2007-03-30
影响因子：
4.1
通讯作者：
Balke, Stephen T.
中科院分区：
文献类型：
--
作者：
Mourey, Thomas H.;Leon, Jeffrey W.;Balke, Stephen T.
纳米凝胶是高度支化的、可溶胀的聚合物结构，平均直径在1和100 nm之间。尺寸排阻色谱法（SEC）在这个尺寸范围内分馏材料，它通常用于测量纳米凝胶摩尔质量分布。对于许多纳米凝胶应用，从SEC数据计算粒度分布可能比计算摩尔质量分布更重要。其他有用的纳米凝胶性质分布包括颗粒形状、面积和体积，以及每个颗粒的聚合物体积分数。所有这些都可以通过适当的校准和数据分析方法从多检测器SEC数据中获得。这项工作开发了用于计算其中几种微分和累积性质分布的基本方程，并将其应用于聚合物纳米凝胶分析的SEC数据。该方法类似于用于计算更熟悉的SEC摩尔质量分布的方法。讨论了分布的校准方法和特性，并考察了探测器噪声、浓度失配和摩尔质量灵敏探测器信号的影响。(c)2007 Elsevier B.V.保留所有权利。
Nanogels are highly branched, swellable polymer structures with average diameters between 1 and 100nm. Size-exclusion chromatography (SEC) fractionates materials in this size range, and it is commonly used to measure nanogel molar mass distributions. For many nanogel applications, it may be more important to calculate the particle size distribution from the SEC data than it is to calculate the molar mass distribution. Other useful nanogel property distributions include particle shape, area, and volume, as well as polymer volume fraction per particle. All can be obtained from multi-detector SEC data with proper calibration and data analysis methods. This work develops the basic equations for calculating several of these differential and cumulative property distributions and applies them to SEC data from the analysis of polymeric nanogels. The methods are analogous to those used to calculate the more familiar SEC molar mass distributions. Calibration methods and characteristics of the distributions are discussed, and the effects of detector noise and mismatched concentration and molar mass sensitive detector signals are examined. (c) 2007 Elsevier B.V. All rights reserved.