Oukacine Farid, Morel Aurélie, Desvignes Isabelle, Cottet Hervé
Université Grenoble Alpes, DPM UMR 5063, CNRS, F-38041 Grenoble, France.
BASF SE, GKD/P-B001, 67056 Ludwigshafen, Germany.
J Chromatogr A. 2015 Dec 24;1426:220-5. doi: 10.1016/j.chroma.2015.11.024. Epub 2015 Nov 14.
Separation of closely related nanoparticles is still a challenging issue for the characterization of complex mixtures for industrial/research applications or regulatory purposes. In this work, the remarkable separating performances of CE were complemented with the absolute size-based determination provided by Taylor dispersion analysis (TDA) for the characterization of nanoparticle mixtures. The inline hyphenation of CE to TDA was successfully implemented for the baseline separation followed by a size-based characterization of a bimodal mixture containing two closely size-related nanolatexes (70nm and 56nm radii). A pixel sensor UV area imager providing three detection points along the capillary was used for a differential measurement of the peak broadening during the Taylor dispersion step. Comparison of this new technique with dynamic light scattering and hydrodynamic chromatography is also discussed.
对于工业/研究应用或监管目的的复杂混合物表征而言,分离密切相关的纳米颗粒仍然是一个具有挑战性的问题。在这项工作中,毛细管电泳(CE)卓越的分离性能与泰勒分散分析(TDA)基于绝对尺寸的测定方法相结合,用于纳米颗粒混合物的表征。CE与TDA的在线联用成功实现了基线分离,随后对包含两种尺寸相近的纳米胶乳(半径分别为70nm和56nm)的双峰混合物进行了基于尺寸的表征。使用沿毛细管提供三个检测点的像素传感器紫外区域成像仪,对泰勒分散步骤中的峰展宽进行差分测量。还讨论了这项新技术与动态光散射和流体动力学色谱法的比较。