动力学-光谱二维数据在灰色体系定量分析中的应用

未知背景的灰色体系的定量分析通常需要二维数据。本文通过对化学反应过程进行在线多波长监测，从而获得了一种新的适用于灰色体系定量分析的数据源——动力学-光谱二维数据。基于该类数据的亏秩特性，约束背景双线性分解法(Constrained Background Bilinearization,CBBL)用于数据的解析。模拟灰色体系的二维数据被用来验证了该方法的可行性。以邻苯二甲酸二乙酯(DEP)为分析对象，苯甲酸乙酯(EB)为未知背景，通过在线测量酯的碱性水解过程获得动力学-紫外光谱数据矩阵，利用本文方法在背景与待测物的动力学谱和光谱严重重叠的情况下，仍然能准确地对DEP进行定量分析。

The application of the kinetic-spectrum two-dimensional data in the quantitative analysis of the gray system

The two-way data is usually necessary for the quantitative analysis of the gray system. A new way to the two-way kinetic-spectral data as the data source for the quantitative analysis of the gray system has been proposed by monitoring the chemical reaction multiwavelength. According to the character of the two-way kinetic-spectral data, the constrained background bilinerization algorithm was used to resolve the ana-lyte in the gray system. Simulated data has validated the liability of this method. A kinetic-spectral matrix was collected during the process of the alkaline hydrolysis of the diethyl phthalate (DEP), where ethyl benzoate was added deliberately as the unknown background. By the method in this paper, the quantitative analysis for the DEP was well done though the kinetic spectra and the pure spectra of the background and the analyte overlapped seriously.