Open AccessFractional-order Differentiation of the Gaussian Function for Processing Overlapped Peaks
Author(s) -
Yuanlu Li
Publication year - 2009
Publication title -
analytical sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.392
H-Index - 73
eISSN - 1348-2246
pISSN - 0910-6340
DOI - 10.2116/analsci.25.1339
Subject(s) - gaussian , chemistry , resolution (logic) , binary number , gaussian function , function (biology) , estimator , order (exchange) , analytical chemistry (journal) , computational physics , physics , statistics , mathematics , chromatography , computational chemistry , artificial intelligence , arithmetic , finance , evolutionary biology , biology , computer science , economics
The resolution method for overlapped peaks based on fractional-order differentiation (FOD) of the Gaussian function is described. Its main idea stems from a variation of the maximum and the zero-crossing of the Gaussian peaks signal at different differential orders. I obtained two kinds of estimators for estimating the characteristic parameters of the Gaussian peak based on the above relationship. The resolution of several kinds of overlapped peaks simulated by computer has been performed and discussed in detail. The proposed method has been used to resolve overlapped voltammetric peaks obtained in the analysis of binary mixtures of Cd(II) and In(III) metal ions. The results indicate that the proposed method can be used to resolve overlapped peaks which can be modeled by the Gaussian peaks both effectively and satisfactorily.