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颗粒粒径大小决定了微凝胶的相变行为,因此采用有效可靠的手段来确定胶体悬浮液中颗粒的平均粒径及粒度分布是至关重要的。CONTIN算法是分析动态光散射实验数据,获取胶体悬浮液中颗粒粒度分布的有效算法,但目前的最优正则化参数选取策略依赖于颗粒粒度分布的先验条件。为此,本文提出利用V-曲线准则获取最优正则化参数,使用CONTIN算法表征微凝胶悬浮液颗粒系的平均粒径和粒径分布信息。实验结果表明,与V-曲线正则化参数选取准则相结合,利用CONTIN算法可以有效的获取微凝胶悬浮液的颗粒粒度信息。
The size of the particles determines the phase transition behavior of the microgels. Therefore, it is of crucial importance to determine the average particle size and the particle size distribution of the particles in the colloidal suspension by an effective and reliable method. The CONTIN algorithm is an effective algorithm for analyzing the particle size distribution in colloidal suspensions by analyzing the experimental data of dynamic light scattering. However, the current optimal regularization parameter selection strategy depends on the prior condition of particle size distribution. For this reason, this paper proposes to obtain the optimal regularization parameters by using the V-curve criterion, and the CONTIN algorithm is used to characterize the average particle size and particle size distribution information of the microgel suspension particle system. The experimental results show that, with the combination of V-curve regularization parameter selection criteria, CONTIN algorithm can effectively obtain the particle size information of the microgel suspension.