CAS: Ultrafast Affinity Extraction - Fundamental Studies and Use in Environmental Applications

在化学系化学测量和成像项目的支持下，内布拉斯加大学林肯分校的大卫哈格教授和他的团队正在努力提高我们监测环境中化学物质的能力，包括对国家健康具有重要意义的化学物质。具体而言，正在开发新的微尺度方法。 这些方法使得研究和分析其他技术无法轻易检测的化学系统成为可能，为药物和其他人造试剂的行为、运输和生物活性提供了新的信息。 使用这些创新方法的学生正在接受化学分析，化学分离和环境分析的跨学科培训。Hage教授还正在编写关于微型分离方法和环境分析的教材，以便在化学分离领域内外对学生进行进一步培训，该项目的总体目标是开发和利用基于超快亲和萃取的新的高性能分离方法，以表征具有弱至中等结合强度的物种之间的化学相互作用。这些相互作用在确定环境和生物系统中许多人造物质的运输和活动方面很重要。该方法开始与模型系统的模拟和分析，以确定合适的超快亲和提取条件，用于测量非结合的化学馏分，并用于结合或速率研究。然后应用导出的条件来检查“真实的”应用中的绑定（例如，普通药物与溶解的有机物质如水中发现的腐殖酸的结合）。最后，结果被用来开发新的格式的超快亲和提取，以增加信息的内容和能力，这种方法在绑定和率studies.This奖项反映了NSF的法定使命，并已被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准的支持。

With support from the Chemical Measurement and Imaging Program in the Division of Chemistry, Professor David Hage and his group at the University of Nebraska-Lincoln are working to advance our ability to monitor chemicals in the environment, including chemicals of importance to national health. Specifically, new microscale methods are being developed. These methods make it possible to study and analyze chemical systems that cannot be easily examined by other techniques, providing new information on the behavior, transport, and biological activity of pharmaceuticals and other man-made agents. Students working with these innovative methods are receiving interdisciplinary training in chemical analysis, chemical separations, and environmental analysis. Curricular materials on microscale separation methods and environmental analysis are also being developed by Professor Hage for the further training of students within and beyond the field of chemical separations.The overall goal of this project is to develop and utilize new high-performance separation methods based on ultrafast affinity extraction to characterize chemical interactions of species with weak-to-moderate binding strengths. These interactions are important in determining the transport and activity of many man-made agents in the environment and in biological systems. The approach begins with simulations and analysis of model systems to identify suitable ultrafast affinity extraction conditions for measuring the non-bound chemical fractions and for use in binding or rate studies. The derived conditions are then applied to examine the binding in “real” applications (e.g., binding of common pharmaceuticals with dissolved organic matter, such as humic acids, found in water). Finally, results are used to develop new formats of ultrafast affinity extraction to increase the information content and capabilities of this method in binding and rate studies.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.