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

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 a Josef HAVEL

Základní údaje

Originální název

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

Autoři

CUKROWSKA, Ewa (616 Polsko), Libuše TRNKOVÁ (203 Česká republika, garant), René KIZEK (203 Česká republika) a Josef HAVEL (203 Česká republika)

Vydání

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

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10406 Analytical chemistry

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 1.960

Kód RIV

RIV/00216224:14310/01:00006052

Organizační jednotka

Přírodovědecká fakulta

UT WoS

000168665900012

Klíčová slova anglicky

Artificial neural networks;Experimental design;Adenine;Cytosine;Cyclic voltammetry;Differential pulse voltammetry

Štítky

adenine, artificial neural networks, cyclic voltammetry, cytosine, Differential pulse voltammetry, experimental design

Změněno: 14. 10. 2002 11:12, 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 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.

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

MSM 143100011, záměr

Název: Struktura a vazebné poměry, vlastnosti a analýza syntetických a přírodních molekulových ansamblů

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Struktura a vazebné poměry, vlastnosti a analýza syntetických a přírodních molekulových ansamblů

Citovat

CUKROWSKA, Ewa, Libuše TRNKOVÁ, René KIZEK a Josef HAVEL. Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures interfered with hydrogen evolution. J.Electroanal.Chem. The Netherlands: Elsevier, 2001, roč. 2002, 1-2, s. 117-124. ISSN 0022-0728.

@article{390956,
   author = {Cukrowska, Ewa and Trnková, Libuše and Kizek, René and Havel, Josef},
   article_location = {The Netherlands},
   article_number = {1-2},
   keywords = {Artificial neural networks;Experimental design;Adenine;Cytosine;Cyclic voltammetry;Differential pulse voltammetry},
   language = {eng},
   issn = {0022-0728},
   journal = {J.Electroanal.Chem.},
   title = {Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures interfered with hydrogen evolution},
   volume = {2002},
   year = {2001}
}

TY  - JOUR
ID  - 390956
AU  - Cukrowska, Ewa - Trnková, Libuše - Kizek, René - Havel, Josef
PY  - 2001
TI  - Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures interfered with hydrogen evolution
JF  - J.Electroanal.Chem.
VL  - 2002
IS  - 1-2
SP  - 117
EP  - 117
PB  - Elsevier
SN  - 00220728
KW  - Artificial neural networks;Experimental design;Adenine;Cytosine;Cyclic voltammetry;Differential pulse voltammetry
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 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.
ER  -

CUKROWSKA, Ewa, Libuše TRNKOVÁ, René KIZEK a Josef HAVEL. Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures interfered with hydrogen evolution. \textit{J.Electroanal.Chem.}. The Netherlands: Elsevier, 2001, roč.~2002, 1-2, s.~117-124. ISSN~0022-0728.

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