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

Warning

This publication doesn't include Faculty of Economics and Administration. It includes Faculty of Science. Official publication website can be found on muni.cz.
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.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.