J 2001

Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures interfered with hydrogen evolution

CUKROWSKA, Ewa, Libuše TRNKOVÁ, René KIZEK and Josef HAVEL

Basic information

Original name

Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures interfered with hydrogen evolution

Authors

CUKROWSKA, Ewa (616 Poland), Libuše TRNKOVÁ (203 Czech Republic, guarantor), René KIZEK (203 Czech Republic) and Josef HAVEL (203 Czech Republic)

Edition

J.Electroanal.Chem. The Netherlands, Elsevier, 2001, 0022-0728

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10406 Analytical chemistry

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 1.960

RIV identification code

RIV/00216224:14310/01:00006052

Organization unit

Faculty of Science

UT WoS

000168665900012

Keywords in English

Artificial neural networks;Experimental design;Adenine;Cytosine;Cyclic voltammetry;Differential pulse voltammetry
Změněno: 14/10/2002 11:12, prof. RNDr. Libuše Trnková, CSc.

Abstract

V originále

A new method for the simultaneous determination of adenine and cytosine is described. Multivariate calibration based on a suitable experimental design (ED) and soft modelling with artificial neural networks (ANNs) is used for quantitative analysis of overlapped linear scan voltammetric (LSV) and differential pulse polarographic (DPP) peaks of adenine and cytosine that occur in the region of hydrogen evolution. It is demonstrated that analysis of mixtures, even if some of the constituents undergo an irreversible reduction, can be quantified with reasonable accuracy. The average absolute error was estimated as 3.7 % in LSV, 4.6 % in DPP for adenine and 5.2 % in LSV, 5.9 % in DPP for cytosine. For the whole testing set the comparison of the added and found values of adenine and cytosine concentrations was characterised by an agreement factor (about 0.06). The method is quite general and can be used for analysis of other biologically important substances without their separation.

Links

GV204/97/K084, research and development project
Name: Elektrody modifikované nukleovými kyselinami a bílkovinami. Nové nástroje v biochemickém a biomedicínském výzkumu
Investor: Czech Science Foundation, Electrodes modified with nucleic acids and proteins. New tools in biochemical and biomedical research
MSM 143100011, plan (intention)
Name: Struktura a vazebné poměry, vlastnosti a analýza syntetických a přírodních molekulových ansamblů
Investor: Ministry of Education, Youth and Sports of the CR, Structure and character of bonding, properties and analysis of synthetic and natural molecular ensembles