Potentiometric Sensors and Extradition Media for Carboxylates

电位传感器和羧酸盐引渡介质

• 批准号: 9710213
• 负责人: Stephen Weber
• 金额: $ 33.32万
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-08-01 至 2000-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9710213&HistoricalAwards=false
• 关键词: Potentiometric; Sensors; Extradition; Media; Carboxylates

This research project, supported by the Analytical and Surface Chemistry Program and the Office of Multidisciplinary Activities, focuses on three areas involving selective extractions and potentiometric sensors based on molecular recognition. Professor Weber and his students at the University Pittsburgh will use a combinatorial approach to find mixtures of medium molecular weight polyfunctional phosphate triesters that selectively extract target analytes. Novel artificial receptors for anionic dicarboxylates will be developed for application in potentiometric sensors and the further development of a capillary electrophoresis device for micro-extraction will be pursued. This work will find use in industrial chemistry, medicine, environmental chemistry, and agricultural and food science. There are few practical sensors for anions which are negatively charged species. The need for such sensors spans applications in many areas of science including the environment, agriculture, medicine, and chemical industry. This project aims to develop several strategies for directly quantifying and for extracting such species from real sample matrices by developing new compounds and mixtures of compounds that selectively bind to anions via molecular recognition. Direct sensors that function by measuring potentials that are related to analyte concentration and extraction procedures that can be implemented for very small sample volumes will be developed.

该研究项目由分析和表面化学计划和多学科活动办公室支持，重点关注三个领域，涉及选择性提取和基于分子识别的电位传感器。韦伯教授和他在匹兹堡大学的学生将使用组合方法寻找中等分子量的多功能磷酸三酯混合物，选择性地提取目标分析物。将开发用于电位传感器的新型阴离子二羧酸盐人工受体，并将进一步开发用于微萃取的毛细管电泳装置。这项工作将在工业化学、医学、环境化学、农业和食品科学中得到应用。对于带负电荷的阴离子，很少有实用的传感器。对这种传感器的需求跨越了许多科学领域的应用，包括环境、农业、医学和化学工业。该项目旨在通过开发新的化合物和化合物的混合物，通过分子识别选择性地结合阴离子，开发几种直接定量和从实际样品基质中提取这些物种的策略。将开发通过测量与分析物浓度和提取程序相关的电位来起作用的直接传感器，这些传感器可以用于非常小的样品量。