Selective Extraction into Nonvolatile Media

匹兹堡大学的Stephen Weber教授得到了分析和表面化学计划的支持，研究使用氟化材料从液体混合物中选择性提取天然产物和杂质。氟碳液体具有“选择性”溶剂化特性，聚四氟乙烯膜坚固耐用。将开发具有这两种优点的新系统。这项工作的目标是开发含有特定受体的含氟萃取介质，涂覆在多孔氧化铝作为衬底上。逻辑是，如果分析物周围的溶剂较差，那么给定的人工受体将有更好的机会诱导良好的萃取选择性。本项目的基础工作包括开发稳定、流体含氟介质的制备方法，合成和筛选潜在受体分子库，以及制备用于传感和提取的新型修饰电极表面。这项工作的影响在于材料化学、化学合成、分离、识别和传感器的发展。在实际分析中，选择性萃取是富集分析物和消除干扰最有效的方法之一。在尺寸稳定、不易挥发的介质（如膜和改性表面）中选择性提取通常是化学传感器和传感系统中的关键因素。如果选择性萃取能够扩大规模，在环境友好回收天然物质和简单去除杂质方面具有重要的工业意义。

Professor Stephen Weber of the University of Pittsburgh is supported by the Analytical and Surface Chemistry Program to study selective extraction of natural products and impurities from liquid mixtures using fluorinated materials. Fluorocarbon liquids display 'selective' solvating properties and teflon membranes are robust. Novel systems possessing both advantages will be developed. The work targets the development of fluorous extraction media containing specific receptors coated onto porous alumina as substrate. The logic is that a given artificial receptor for the analyte will have a much better chance to induce a good extraction selectivity if the surrounding is a poor solvent for that analyte. This project entails the basic work of developing methods for the creation of stable, fluid fluorous media, synthesizing and screening a library of potential receptor molecules, and preparing novel modified electrode surfaces for sensing and extraction. This impact of this work lies in materials chemistry, chemical synthesis, separation, recognition, and sensor development. Selective extraction is one of the most efficient methods for analyte enrichment and for elimination of interferences in practical analysis. Selective extraction in a dimensionally-stable, non-volatile media (e.g., membranes, and modified surfaces) is often the key element in chemical sensors and sensing systems. If selective extraction can be scaled up, it may gain industrial significance in environmentally friendly recovery of natural substances and simple removal of impurities.