关键词: 目标试验因子分析, 动力学谱-光谱两维数据, 反应级数, 速率常数

Abstract: Target-Testing Factor Analysis(TTFA), combined with Numeric Genetic Algorithm(NGA),is adopted to solve the kinetic-spectral data matrix obtained on-line during chemical reactions.The methodis advantageous owing to that it can provide information on rate constants and the reaction orders of chemi-cal reactions as well as the spectrum of species in the reaction, without previous knowledge of the kineticmodel of the reaction and the pure spectrum of species.Furthermore, an approximate algorithm is pro-posed to compute the kinetic spectrum of each species, thus making the method effective as well for reac-tions with fractional orders.This method is employed to solve the synthetic data for systems that are incompliance with the two-step consecutive reaction model and where the species all absorb or one of themdoesn't, and its effectiveness proved.The method is also applied to the analysis of practical reaction sys-tems such as alkaline hydrolysis of dimethyl phthalate and electrodegradation of sunset yellow aqueous solu-tion, and satisfactory results are obtained.

Key words: Target-testing Factor Analysis, Two-dimension kinetic-spectroscopic data, Reaction order, Rate constants