Role of Particle–Particle Interaction Towards Effective Interpretation of Z-Average and Particle Size Distributions from Dynamic Light Scattering (DLS) Analysis

动态光散射 分散性 粒径 材料科学 粒子(生态学) 粒度分布 散射 强度(物理) 口译(哲学) 粒子数 尺寸 统计物理学 统计 分子物理学 体积热力学 化学物理 热力学 物理 光学 纳米技术 数学 化学 物理化学 纳米颗粒 计算机科学 高分子化学 地质学 有机化学 程序设计语言 海洋学
作者
Swee Pin Yeap,JitKang Lim,H.P. Ngang,Boon Seng Ooi,Abdul Latif Ahmad
出处
期刊:Journal of Nanoscience and Nanotechnology [American Scientific Publishers]
卷期号:18 (10): 6957-6964 被引量:66
标识
DOI:10.1166/jnn.2018.15458
摘要

Despite the widespread utilization of Dynamic Light Scattering (DLS) as an analytical tool for particle sizing, one of the critical questions raised among the users is on how to do proper analysis and interpretation of the data obtained. In view of this, the present work was done to reveal the role of particle-particle interaction towards the interpretation of Z-average and the three types of particle size distributions (intensity-weighted, volume-weighted, and number-weighted) obtained from DLS analysis. Experimental results showed that Z-average for the weakly-interacting (highly stable) SiO2 particles obtained from DLS was almost identical to that gained from TEM analysis. Meanwhile, for the strongly-interacting (non-stable, aggregating) bare Fe3O4 particles, the Z-average obtained from DLS was ∼10 times larger than TEM result. In term of particle size distributions, it was found that all the three types of size distributions were closely collapsed into a single bell curve for the unimodal and monodisperse SiO2 particles; while for bare Fe3O4 particles which had been aggregated into polydisperse structures, the three size distributions exhibited large variation from each other. This observation implies that choosing the right size distribution become challenging in the latter case. Additionally, it was found that the Z-average of bare Fe3O4 particles varied significantly with the particle concentration used for DLS measurement. Concerning with particle aggregation kinetic, results from three independent case studies showed that the intensity-weighted distribution provides more logical and consistent right shifting as compared to both volume-weighted and number-weighted distributions.
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