CONTIN算法及其在测量微凝胶颗粒粒度分布中的应用

The CONTIN Algorithm for Particle Sizing in Microgel Suspensions

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 phase behavior of the microgels is determined by its particle size,hence it is important to determine the average particle size and particle size distribution of the colloidal particles.The CONTIN algorithm is an effective method accessing to particle size distribution in colloidal suspension.But so far,the strategies for selecting the optimal regularization parameter depend on prior knowledge of particle size distribution.Therefore we propose a Vcurve criteria for selecting the optimal regularization parameter,and use the CONTIN algorithm to get the average particle size and size distribution of microgel suspension.The experimental results show that the CONTIN algorithm with the V-curve criteria can effectively obtain the size information of microgel suspension.