Laboratory measurements of light scattering data for polymer-modified nanoparticles to determine diffusion coefficient and hydrodynamic radius

This dataset contains estimates of the mutual diffusion coefficient and hydrodynamic radius of polymer-modified silica nanoparticles determined via light scatter characteristics. Seven species of poly(caprolactone) (PCL) and hyperbranched poly(glycidol) (HPG) modified nanoparticles were exposed to laboratory-weathered oil collected from the leaking Deepwater Horizon well. Dynamic light scattering (DLS) analysis measured the fluctuations in the scattering intensity of the samples, analyzed by the intensity autocorrelation function. The slope of the plot of the decay rate of the autocorrelation function versus the square of the scalar magnitude of the scattering vector yields the mutual diffusion coefficient. The estimate of the diffusion is then used to calculate the hydrodynamic size using the Stokes-Einstein relation.

本数据集包含通过光散射特性测定的聚合物改性二氧化硅纳米颗粒的互扩散系数与流体力学半径估算值。本次研究选取了7种经聚己内酯（poly(caprolactone), PCL）以及超支化聚缩水甘油（hyperbranched poly(glycidol), HPG）改性的纳米颗粒，将其暴露于从深水地平线（Deepwater Horizon）漏油井采集的实验室风化油中。通过动态光散射（Dynamic light scattering, DLS）分析测定样品的散射光强波动，并借助强度自相关函数完成数据分析。以自相关函数衰减速率对散射矢量标量模平方作图，其斜率即为互扩散系数。随后利用该扩散系数估算值，结合斯托克斯-爱因斯坦关系式（Stokes-Einstein relation）计算得到流体力学尺寸。