EAPSI: Characterization of new materials to advance separations technology

从混合物中分离和分析特定化合物的能力使科学家能够做出重要的发现，推动他们的科学发展。化合物的分离在所有化学和生物科学以及工程中都有应用。这些分离的一个重要技术是电动色谱（EKC）。这是一种分析技术，通过在溶液中使用电势来快速分离微量样品。这项具体的研究将合成新的材料，提供独特的分离性能和提高EKC内的性能。该研究将与澳大利亚分离科学研究中心（ACROSS）分离科学领域的杰出科学家Emily Hilder博士合作进行。作为世界上主要的分离科学研究中心之一，ACROSS提供了展示EKC分离柱内固体亚结构乳胶纳米颗粒（NP）性能所需的基础设施。这项合作工作将为将EKC的进步带入分离界提供关键的一步。这项工作将利用ACROSS先进的CE-ESI-MS仪器来实现所需的高检测灵敏度，并展示ESI接口的兼容性。通过线性溶剂化能量关系（LSER）模型表征NP - PSPs的性能，以了解NP结构对选择性和迁移率的影响。LSER数据将提供对NP大小和化学对亚甲基选择性和保留因子的影响的基本理解。这将提供指导特定应用的NP psp工程所需的数据。此外，PSP将用于当前的研究应用，以说明NP PSP在现有分离技术未解决的前沿挑战中的适用性。NSF EAPSI奖是与澳大利亚科学院合作资助的。

The ability to separate and analyze a specific compound from a mixture enables scientists to make crucial discoveries that advance their science. Separations of compounds are used in all chemical and biological sciences, as well as engineering. One important technique for these separations is Electrokinetic Chromatography (EKC). This is an analytical technique that provides fast separations of minute amounts of sample through the use of an electric potential across a solution. This specific research will synthesize new materials that provide unique separation properties and improved performance within EKC. This research will be conducted in collaboration with Dr. Emily Hilder, an eminent scientist in the field of separation science at the Australian Center for Research on Separation Science (ACROSS). As one of the premier centers for separation science research in the world, ACROSS provides the infrastructure needed to demonstrate the performance of latex nanoparticles (NP), the solid substructure within the EKC separation column. This collaborative work will provide a critical step in bringing advances in EKC to the separations community. This work will utilize advanced CE-ESI-MS instrumentation at ACROSS to achieve the high detection sensitivity required, and to demonstrate ESI interface compatibility. The NP PSPs performance will be characterized with Linear Solvation Energy Relationship (LSER) models to understand the effects of NP structure on selectivity and mobility. The LSER data will provide a fundamental understanding of the effects of NP size and chemistry on methylene selectivity and retention factors. This will provide the data needed to guide the engineering of NP PSPs for specific applications. In addition, the PSPs will be used in current research applications to illustrate NP PSP applicability to cutting edge challenges that are not addressed by existing separations technology. This NSF EAPSI award is funded in collaboration with the Australian Academy of Science.