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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)被用于数据的解析。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。
Quantitative analysis of a gray system with unknown background usually requires two-dimensional data. In this paper, a new data source-kinetic-spectral two-dimensional data suitable for the quantitative analysis of gray system is obtained by online multi-wavelength monitoring of the chemical reaction process. Constrained Background Bilinearization (CBBL) is used for data analysis based on the rank-loss features of this type of data. Two-dimensional data of simulated gray system was used to verify the feasibility of this method. Using diethyl phthalate (DEP) as the analytic object and ethyl benzoate (EB) as the unknown background, kinetic-UV spectroscopy data matrix was obtained by on-line measurement of the basic hydrolysis of the ester. Using this method, DEP can still be quantitatively and accurately analyzed when there is a serious overlap between the kinetic spectrum and the spectrum of the analyte.