A New Separation Metric for the Optimization of AF4 Separations of Polydispersed Nanomaterials

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The development of standardized and optimized methods to monitor the behavior of engineered nanomaterials (ENMs) in complex environments is considered a critical component in ENM risk assessment. Robust, rigorously optimized methods are currently lacking, in part because of matrix variability, sample polydispersity, and a lack of understanding how primary instrument factors affect method performance. To this end, a practical and effective separation method has been explored that optimizes asymmetric flow field flow fractionation (AF4) separation protocols with an online quasi-elastic light scattering (QELS) detector. An assessment metric to better interpret particle sizing data following separation of complex nanomaterial samples was identified using a hydrodynamic radius differential that determines relative separation protocol success. Using this metric, the AF4 separation of a complex sample can be optimized. Full optimization is realized when a higher retention separation does not produce a smaller measured radius differential that is larger than the associated uncertainty.

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Journal: TechConnect Briefs
Volume: 1, Nanotechnology 2014: Graphene, CNTs, Particles, Films & Composites
Published: June 15, 2014
Pages: 478 - 481
Industry sector: Advanced Materials & Manufacturing
Topics: Materials Characterization & Imaging
ISBN: 978-1-4822-5826-4