Application of elimination voltammetry for microanalysis of oligonucleotides and nucleic acids bases

Warning

This publication doesn't include Institute of Computer Science. It includes Faculty of Science. Official publication website can be found on muni.cz.
Authors

JELEN František TRNKOVÁ Libuše MIKELOVÁ Radka KOUŘILOVÁ A. HASOŇ S. PALEČEK Emil

Year of publication 2006
Type Article in Proceedings
Conference 8th International symposium on pharmaceutical sciences
MU Faculty or unit

Faculty of Science

Citation
Field Electrochemistry
Keywords Electrochemistry; Hetero; homo-oligonucleotides; nucleic acids bases; Mercury electrode; carbon paste electrode; Elimination voltammetry with linear scan;
Description Elimination Voltammetry with linear scan (EVLS enables elimination of selected volametric current components contributing to a total current. In comparison to usual voltammetric methods the EVLS is capable to resolve overlapping signals, specifically by using the elimination function, which eliminates the charging and kinetic currents and conserves the diffusion current. In the case of adsorbed electroactive species this elimination function yields a well readable peak-counterpeak signal, witch can by utilized in the adsorptive stripping (AdS) or adsorptive transfer stripping (AdTS) procedures are advisable. The elimination procedure was applied to the analysis of nucleic acids and short synthetic homo- and hetero-deoxyoligonucleotides (ODNs) containing adenine (A), cytosine (C) and guanine (G). The EVLS results showed that the elimination voltammetric signal of C is separated from the signal of A, and the elimination signals of A and C reflect their sequences in ODN molecules. The detection is based on the adsorptive stripping voltammetric measurements in connection with hanging mercury drop electrode (HMDE) or carbon paste electrode (CPE). ODNs determination was performed with released nucleic acid bases in presence of copper ions. Our results show that the EVLS in connection with the AdS procedure is a useful tool for both qualitative and quantitative microanalysis of ODNs.
Related projects:

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

More info