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

D 1999

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

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

Základní údaje

Originální název

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

Autoři

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

Vydání

I. Pardubice, Modern Electroanalytical Methods, s. 16-16, Modern Electroanalytical Methods, 1999

Nakladatel

Univerzita Pardubice

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10405 Electrochemistry

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Kód RIV

RIV/00216224:14310/99:00003219

Organizační jednotka

Přírodovědecká fakulta

ISBN

80-7194-212-X

Klíčová slova anglicky

adenine;cytosine;reduction process of Ade and Cyt;Artificial Neural Network; Experimental Design

Štítky

adenine, Artificial Neural Network, cytosine, experimental design

Změněno: 12. 3. 2001 20:52, prof. RNDr. Libuše Trnková, CSc.

Anotace

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 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.

Návaznosti

GV204/97/K084, projekt VaV

Název: Elektrody modifikované nukleovými kyselinami a bílkovinami. Nové nástroje v biochemickém a biomedicínském výzkumu

Investor: Grantová agentura ČR, Elektrody modifikované nukleovými kyselinami a bílkovinami. Nové nástroje v biochemickém a biomedicínském výzkumu

Citovat

CUKROWSKA, Ewa, Libuše TRNKOVÁ, René KIZEK a Josef HAVEL. Artificial Neural Network for Quantitative Analysis of Adenine-Cytosine Mixtures by Linear Scan Voltammetry and Differential Pulse Polarography. In Modern Electroanalytical Methods. I. Pardubice: Univerzita Pardubice, 1999, s. 16. Modern Electroanalytical Methods. ISBN 80-7194-212-X.

@inproceedings{209491,
   author = {Cukrowska, Ewa and Trnková, Libuše and Kizek, René and Havel, Josef},
   address = {Pardubice},
   booktitle = {Modern Electroanalytical Methods},
   edition = {I.},
   keywords = {adenine;cytosine;reduction process of Ade and Cyt;Artificial Neural Network; Experimental Design},
   language = {eng},
   location = {Pardubice},
   isbn = {80-7194-212-X},
   pages = {16-16},
   publisher = {Univerzita Pardubice},
   title = {Artificial Neural Network for Quantitative Analysis of Adenine-Cytosine Mixtures by Linear Scan Voltammetry and Differential Pulse Polarography},
   year = {1999}
}

TY  - JOUR
ID  - 209491
AU  - Cukrowska, Ewa - Trnková, Libuše - Kizek, René - Havel, Josef
PY  - 1999
TI  - Artificial Neural Network for Quantitative Analysis of Adenine-Cytosine Mixtures by Linear Scan Voltammetry and Differential Pulse Polarography
VL  - Modern Electroanalytical Methods
PB  - Univerzita Pardubice
CY  - Pardubice
SN  - 807194212X
KW  - adenine;cytosine;reduction process of Ade and Cyt;Artificial Neural Network
KW  - Experimental Design
N2  - 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.
ER  -

CUKROWSKA, Ewa, Libuše TRNKOVÁ, René KIZEK a Josef HAVEL. Artificial Neural Network for Quantitative Analysis of Adenine-Cytosine Mixtures by Linear Scan Voltammetry and Differential Pulse Polarography. In \textit{Modern Electroanalytical Methods}. I. Pardubice: Univerzita Pardubice, 1999, s.~16. Modern Electroanalytical Methods. ISBN~80-7194-212-X.

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