Bradley Joe J, Martinez Vincent A, Arlt Jochen, Royer John R, Poon Wilson C K
School of Physics & Astronomy, The University of Edinburgh, Peter Guthrie Tait Road, Edinburgh EH9 3FD, UK.
Soft Matter. 2023 Nov 1;19(42):8179-8192. doi: 10.1039/d3sm00593c.
Differential dynamic microscopy (DDM) can be used to extract the mean particle size from videos of suspensions. However, many suspensions have multimodal particle size distributions, for which a single 'mean' is not a sufficient description. After clarifying how different particle sizes contribute to the signal in DDM, we show that standard DDM analysis can extract the mean sizes of two populations in a bimodal suspension given prior knowledge of the sample's bimodality. Further, the use of the CONTIN algorithm obviates the need for such prior knowledge. Finally, we show that by selectively analysing portions of the DDM images, we can size a trimodal suspension where the large particles would otherwise dominate the signal, again without prior knowledge of the trimodality.
差分动态显微镜(DDM)可用于从悬浮液视频中提取平均粒径。然而,许多悬浮液具有多峰粒径分布,对于这种情况,单一的“平均值”不足以描述。在阐明不同粒径如何对DDM中的信号产生贡献后,我们表明,给定样品双峰性的先验知识,标准DDM分析可以提取双峰悬浮液中两个群体的平均粒径。此外,CONTIN算法的使用消除了对这种先验知识的需求。最后,我们表明,通过选择性地分析DDM图像的部分区域,我们可以对三峰悬浮液进行粒径分析,否则大颗粒会主导信号,同样无需三峰性的先验知识。