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首页> 外文期刊>Journal of Applied Polymer Science >Automated Batch Characterization of Polymer Solutions by Static Light Scattering and Viscometry
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Automated Batch Characterization of Polymer Solutions by Static Light Scattering and Viscometry

机译:通过静态光散射和粘度测定法对聚合物溶液进行自动批量表征

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摘要

Using a programmable mixing pump, light scattering flow chamber, refractive index detector, and single capillary viscometer, the batch (unfractinoated) characterization fo polymers in solution has been automated.Three different schemes to produce polymer concentration gradients were used, and values for weight average mass M_w, root mean square radius of gyration ~(1/2), second virial coefficient A_2, and intrinsic viscosity [#eta#] were determined for a broad distribution sample of poly(vinyl pyrrolidone)(PVC) and a narrow fraction of poly(ethylene oxide)(PEO). High concentration experiments on the PVP also allowed determination of the third virial coefficient A_3. The method has several advantages over traditional manual methods in terms of accuracy, sample preparatino, and amount of labor required.
机译:使用可编程的混合泵,光散射室,折射率检测器和单毛细管粘度计,对溶液中的聚合物进行了批次(未分馏)表征,实现了自动化。使用了三种不同的方案来生成聚合物浓度梯度,并求出了重均值测定了聚乙烯吡咯烷酮(PVC)的广泛分布样品的质量M_w,回转的均方根半径〜(1/2),第二维里系数A_2和特性粘度[#eta#]和一小部分的聚环氧乙烷(PEO)。在PVP上进行高浓度实验还可以确定第三病毒系数A_3。与传统的手动方法相比,该方法在准确性,样品制备和所需的劳动量方面具有多个优势。

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