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Statements

Subject Item
n2:RIV%2F00216224%3A14310%2F01%3A00006052%21RIV08-MSM-14310___
rdf:type
n10:Vysledek skos:Concept
dcterms: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 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. 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. 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.
dcterms:title
Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures interfered with hydrogen evolution Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures interfered with hydrogen evolution Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures interfered with hydrogen evolution
skos:prefLabel
Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures interfered with hydrogen evolution Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures interfered with hydrogen evolution Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures interfered with hydrogen evolution
skos:notation
RIV/00216224:14310/01:00006052!RIV08-MSM-14310___
n3:strany
117
n3:aktivita
n14:Z n14:P
n3:aktivity
P(GV204/97/K084), Z(MSM 143100011)
n3:cisloPeriodika
1-2
n3:dodaniDat
n6:2008
n3:domaciTvurceVysledku
n4:3790185 n4:4995775 n4:6955231 Cukrowska, Ewa
n3:druhVysledku
n15:J
n3:duvernostUdaju
n5:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
699742
n3:idVysledku
RIV/00216224:14310/01:00006052
n3:jazykVysledku
n19:eng
n3:klicovaSlova
Artificial neural networks; Experimental design; Adenine; Cytosine; Cyclic voltammetry; Differential pulse voltammetry
n3:klicoveSlovo
n18:Differential%20pulse%20voltammetry n18:Experimental%20design n18:Cyclic%20voltammetry n18:Adenine n18:Cytosine n18:Artificial%20neural%20networks
n3:kodStatuVydavatele
NL - Nizozemsko
n3:kontrolniKodProRIV
[02CFC947F0EE]
n3:nazevZdroje
J.Electroanal.Chem.
n3:obor
n8:CB
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:projekt
n13:GV204%2F97%2FK084
n3:rokUplatneniVysledku
n6:2001
n3:svazekPeriodika
2002
n3:tvurceVysledku
Kizek, René Trnková, Libuše Cukrowska, Ewa Havel, Josef
n3:zamer
n17:MSM%20143100011
s:issn
0022-0728
s:numberOfPages
8
n9:organizacniJednotka
14310