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Using a Matlab Implemented Algorithm for UV-vis Spectral Resolution for pKa Determination and Multicomponent Analysis

机译:使用Matlab实现的UV-vis光谱分辨率算法进行pKa测定和多组分分析

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摘要

A Matlab implemented computer code for spectral resolution is presented. The code enables the user to resolve the UV-visible absorption spectrum of a mixture of up to 3 previously known components, to the individual components, thus, evaluating their quantities. The resolving procedure is based on searching the combination of the components which yields the spectrum which is the most similar (minimal RMSE) to the measured spectrum of the mixture. Examples of using the software for pKa value estimation and multicomponent analysis are presented and other implementations are suggested.
机译:介绍了Matlab实现的用于光谱分辨率的计算机代码。该代码使用户能够将多达3种先前已知组分的混合物分解为各个组分的UV-可见吸收光谱,从而评估其含量。解析过程基于搜索组分的组合,从而产生与混合物的测量光谱最相似(最小RMSE)的光谱。给出了使用软件进行pKa值估计和多组分分析的示例,并提出了其他实现方案。

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