Fast Kinetics Studies of Analytical Systems

分析系统的快速动力学研究

• 批准号: 8705069
• 负责人: Stanley Crouch
• 金额: $ 14.76万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1987
• 资助国家: 美国
• 起止时间: 1987-11-15 至 1991-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8705069&HistoricalAwards=false
• 关键词: Fast; Kinetics; Studies; Analytical; Systems

This project is in the general area of analytical and surface chemistry and in the subfield of chemical applications of information science. Professor Crouch and his students will employ factor analysis and Kalman filter techniques to extract analytical information from kinetic data. Factor analysis will permit characteristics of the rate of a chemical reaction to be discerned and related to the amount of one of the reactants that is present in the system. Kalman filtering is a computational technique that enables properties of systems to be recursively estimated. In combination and with appropriate computational hardware support, these techniques will be used for the real- time, quantitative determination of concentrations of chemical species from reaction rate data. Whereas both factor analysis and Kalman filter techniques are well established, the combination of the two applied to kinetic analysis should afford a positive synergism that will be beneficial in many areas of application of analytical chemistry.

这个项目是在一般地区的分析和表面 化学和在化学应用的子领域 信息科学 克劳奇教授和他的学生 采用因子分析和卡尔曼滤波技术， 动力学数据的分析信息。 因子分析将 允许化学反应速率的特征被 与其中一种反应物的量有关， 存在于系统中。 卡尔曼滤波是一种计算 一种使系统的性质能够递归地 估算 结合适当的计算 硬件支持，这些技术将用于真实的- 时间，化学品浓度的定量测定 反应速率数据。 两种因素分析 和卡尔曼滤波器技术已经很好地建立， 将两者结合起来应用于动力学分析， 积极的协同作用，将有利于在许多领域， 分析化学的应用。