Development Of Multivariate Calibration Of Chemiluminescence Combined With Artificial Neural Network Method

Simultaneous determination of multi-component mixtures without separation procedure has always been of interest to analysts. The use of some analytical methods combined with multivariate calibration can be considered a promising, faster, direct and relatively less expensive alternative for the multicomponent analysis of mixture.This paper focused on the multivariate calibration of chemiluminescence combined with artificial neural network method. The major content was described as follows:In part one, the principle and structure of artificial neural network (ANN) are introduced. This paper summarized the application of ANN on simultaneous determination of multi-components in analytical chemistry, such as ultraviolet-visible spectrophometry, infrared and near infrared spectrometry, fluorescence spectrometry, chromatographic analysis, etc.The research report contains three subunits:(1) Simultaneous determination of rifampicin and isoniazid by continuous-flow chemiluminescence with artificialneural network calibrationIn this paper a continuous-flow chemiluminescence system with artificial neural network calibration is proposed for simultaneous determination of rifampicin and isoniazid. This method is based on the different kinetic spectra of the analytes in their CL reaction with alkaline N-bromosuccinimide as oxidant. The CL intensity was measured and recorded every second from 1 to 300 s. The data obtained were processed chemometrically by use of an artificial neural network. The experimental calibration set was 20 sample solutions. The relative standard errors of prediction for both analytes were approximately 5%. The proposed method was successfully applied to the simultaneous determination of rifampicin and isoniazid in a combined pharmaceutical formulation.(2) Simultaneous determination of glucose, fructose and lactose in food samples using continuous-flow chemiluminescence method with the aid of artificial neural networksIn this paper, a simple continuous-flow chemiluminescence system is developed...