首页> 外文期刊>Journal of Applied Polymer Science >USE OF FACTORIAL EXPERIMENTAL DESIGN IN STATIC AND DYNAMIC LIGHT SCATTERING CHARACTERIZATION OF WATER-SOLUBLE POLYMERS
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USE OF FACTORIAL EXPERIMENTAL DESIGN IN STATIC AND DYNAMIC LIGHT SCATTERING CHARACTERIZATION OF WATER-SOLUBLE POLYMERS

机译:因子实验设计在水溶性聚合物静态和动态光散射表征中的应用

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When characterizing solutions of random coil polymers by static light scattering (SLS) or dynamic light scattering (DLS), linear regression is used to fit experimental data to theoretical relationships. These relationships are expressed as polynomial equations, which contain two independent variables-sample concentration and scattering angle-and a response or dependent variable that is related to radiation intensities (SLS) or intensity fluctuations (DLS). The coefficients of the terms in the polynomial are used to estimate parameters such as molecular weight and polymer coil radius of gyration. One major problem during data analysis involves deciding which polynomial model is appropriate for use with the data that inherently contains a high level of random noise that is produced by the presence of dust in the solutions. Dust is an especially troublesome problem when dealing with large polymers in aqueous solutions. Polynomial models having more terms than justified are unacceptable because the coefficients of these models are excessively corrupted by the noise. Thus, conclusions from unjustified models can be erroneous. This article discusses use of a factorial experimental design technique that obtains an acceptable model for fitting light scattering data containing high levels of random noise. (C) 1995 John Wiley and Sons, Inc. [References: 19]
机译:当通过静态光散射(SLS)或动态光散射(DLS)表征无规卷曲聚合物的溶液时,可以使用线性回归将实验数据拟合为理论关系。这些关系表示为多项式方程,其中包含两个独立变量-样品浓度和散射角-以及与辐射强度(SLS)或强度波动(DLS)有关的响应或因变量。多项式中的项的系数用于估计参数,例如分子量和聚合物线圈的回转半径。数据分析过程中的一个主要问题涉及确定哪种多项式模型适合与固有地包含高水平随机噪声的数据一起使用,这些噪声是由解决方案中存在的灰尘产生的。在水溶液中处理大型聚合物时,灰尘是一个特别麻烦的问题。项数多于合理项的多项式模型是不可接受的,因为这些模型的系数被噪声过度破坏。因此,来自不合理模型的结论可能是错误的。本文讨论了析因实验设计技术的使用,该技术获得了可接受的模型,用于拟合包含高水平随机噪声的光散射数据。 (C)1995 John Wiley and Sons,Inc. [参考:19]

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