Artificial Neural Network for Quantitative Analysis of Adenine-Cytosine Mixtures by Linear Scan Voltammetry and Differential Pulse Polarography

Cukrowska,  Ewa; Trnková,  Libuše; Kizek,  René; Havel,  Josef

Artificial Neural Network for Quantitative Analysis of Adenine-Cytosine Mixtures by Linear Scan Voltammetry and Differential Pulse Polarography

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Authors	CUKROWSKA Ewa TRNKOVÁ Libuše KIZEK René HAVEL Josef
Year of publication	1999
Type	Article in Proceedings
Conference	Modern Electroanalytical Methods
MU Faculty or unit	Faculty of Science
Citation
Field	Electrochemistry
Keywords	adenine;cytosine;reduction process of Ade and Cyt;Artificial Neural Network; Experimental Design
Description	A new method for the simultaneous determination of adenine and cytosine is described. Multivariate calibration based on a suitable experimental design (ED) and soft modeling with artificial neural networks (ANN) is used for quantitative analysis of highly overlapped linear scan voltammetric (LSV) and differential pulse polarographic (DPP) peaks of two nucleic acid bases, adenine and cytosine, which occur in the region of hydrogen evolution. The method is quite general and it can be used for analysis of biologically important substances without their separation.
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