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A method for the determination of reaction mechanisms and rate constants from two-way spectroscopic data

机译:从双向光谱数据确定反应机理和速率常数的方法

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We propose a method for resolving spectroscopic reaction monitoring data into concentration profiles and spectra for the pure chemical components. It can be used if a valid mechanistic model for the reaction can be postulated. In the analysis, the parameters of the model, i.e. the rate constants, are also determined. If several mechanistic models are possible, these can be tested and the model best describing the data can be selected. The method is based on refinement of concentration profiles from the mechanistic model by target testing. Subsequent rotation of the loadings from principal component analysis (PCA) yields the pure component spectra. The only input used is the spectroscopic data, the mechanistic model(s) to be tested/fitted and possibly, but not necessarily, the initial concentrations of the species participating in the reaction. The performance of the method has been evaluated for synthetic and experimental data described by some common and simple reaction models. A comparison with techniques for non-linear least squares fitting and self-modelling curve resolution is included in the text. (C) 1998 Elsevier Science B.V. All rights reserved. [References: 44]
机译:我们提出了一种将光谱反应监测数据解析为纯化学成分的浓度曲线和光谱的方法。如果可以假定反应的有效机理模型,则可以使用它。在分析中,还确定了模型的参数,即速率常数。如果可以使用多个机械模型,则可以对其进行测试,并可以选择最能描述数据的模型。该方法基于通过目标测试从机械模型中提炼出的浓度分布。主成分分析(PCA)随后进行的载荷旋转产生了纯成分谱。使用的唯一输入是光谱数据,要测试/拟合的机械模型,以及可能但不一定是参与反应的物质的初始浓度。已针对一些常见和简单的反应模型描述的合成和实验数据评估了该方法的性能。本文中包含与非线性最小二乘拟合和自建模曲线分辨率技术的比较。 (C)1998 Elsevier Science B.V.保留所有权利。 [参考:44]

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