Resolution of Differential Pulse Voltammetric Peaks Using Genetic Algorithm Based Variable Selection-Partial Least Squares and Principal Component-Artificial Neural Networks

Abstract

Differential Pulse Voltammetry has been used for the simultaneous determination of cysteine, tyrosine and trptophan on the unmodified glassy carbon electrode. In the analysis of these analytes in the same samples, the main difficulty is the high degree of overlapping of voltammograms. The relationships between the currents and the concentrations are complex and highly nonlinear. The predictive ability of principal component regression (PCR), partial least squares regression (PLS), genetic algorithm-partial least squares regression (GA-PLS) and principal component-artificial neural networks (PC-ANNs) were examined for simultaneous determination of three amino acids. For a regression model, everything that could not help in constructing the model may be considered as noise without further specification. PC-ANN and GA-PLS use significant data and show superiority over other applied multivariate methods. The proposed method was also applied satisfactorily to determination of analytes in some synthetic samples.

A perspective on the growth of chemometrics in Iran: a glance into activities between 2005 and 2012

“…As mentioned, 373 papers were published in the period of 2005–2012. Some of these papers that include different area of applications and/or different journals are cited in this paper . These articles cover applications of PLS, PCR, orthogonal signal correction‐PLS, genetic algorithm‐PLS (GA‐PLS), multiple linear regression, and a few MVC‐ANN for simultaneous analysis using first‐order data.…”

Development of a New Combined Chemometrics Method, Applied in the Simultaneous Voltammetric Determination of Cinnamic Acid and 3, 4-Dihydroxy Benzoic Acid

“…The use of a genetic algorithm (GA) as a searching strategy for the selection of variables is to be found in the bibliography in different problems, frequently using spectrophotometric techniques. However, there are fewer references to the use of the GA in electrochemical techniques [9][10][11][12]. Genetic algorithms (GAs) [13][14][15][16][17] been used to solve difficult problems with objective func tions that do not possess 'nice' properties such as continuity, differentiability, etc.…”