Sensors: Perfluorinated Matrixes as New Materials for Receptor-Doped Chemical Sensors with Extreme Robustness and Selectivity

摘要提案标题：传感器：全氟基质作为受体掺杂化学传感器的新材料，具有极强的鲁棒性和选择性提案编号：CTS-0428046首席研究员：Philippe Buhnmann机构：明尼苏达大学该项目的重点是基于受体的离子选择性电极（ISE）的新材料，用于临床实验室，过程控制，食品工业和环境应用的分析。 商业ISE在选择性、检测限和鲁棒性方面具有缺点。该研究计划通过引入基于含氟聚合物的新基质材料来解决这些挑战。这些材料被假设为改善电极的抗生物污染性以及选择性。 该研究的一个关键目标是防止电中性亲脂性化合物提取到传感器膜中，并利用与最小化传感器膜中干扰离子的溶剂化相关的增加的选择性。合成新的全氟化碳传感器膜和表征其性能将被执行。 假设全氟化材料对于传感器应用是有希望的，因为它们是化学惰性的，已经显示出抵抗细胞生长，在亲脂性化合物中是高度不溶的，并且可以表现出比基于其他材料的传感器更高的选择性。 就更广泛的影响而言，将积极招募本科生参加该项目。 这项工作可能会导致新一代非常高选择性的传感器，可用于诊断和治疗疾病，评估环境问题，并在一般情况下，监测整个食品加工化学，石化，制药和生物技术行业的过程。

AbstractProposal Title: Sensors: Perfluorinated Matrices as New Materials for Receptor-Doped Chemical Sensors with Extreme Robustness and SelectivityProposal Number: CTS-0428046Principal Investigator: Philippe BuhnmannInstitution: University of MinnesotaThis project focuses on new materials for receptor-based ion-selective electrodes (ISEs) for analysis in clinical laboratories, process control, the food industry, and environmental applications. Commercial ISEs have shortcomings in terms of selectivity, detection limits, and robustness. The research program addresses these challenges by introducing new matrix materials based on fluoropolymers. These materials are hypothesized to improve biofouling resistance as well as selectivity of the electrodes. A key goal of the research is to prevent the extraction of electrically neutral lipophilic compounds into sensor membranes and to take advantage of the increased selectivity related to minimizing solvation of interfering ions in the sensor membrane. Synthesis of new perfluorocarbon sensor membranes and characterization of their properties will be performed. The perfluorinated materials are hypothesized to be promising for sensor applications because they are chemically inert, have been shown to resist cell growth, are highly insoluble in compounds that are lipophilic, and may exhibit higher selectivity than sensors based on other materials. In terms of the broader impacts, undergraduates will be actively recruited for the project. This work could lead to a new generation very highly selective sensors, which could be used to diagnose and treat disease, assess environmental problems, and, in general, monitor processes throughout the food processing chemical, petrochemical, pharmaceutical, and biotechnology industries.