About: Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures     Goto   Sponge   NotDistinct   Permalink

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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 modeling 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 characterized 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 modeling 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 characterized 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. (en)
Title
  • Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures
  • Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures (en)
skos:prefLabel
  • Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures
  • Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures (en)
skos:notation
  • RIV/00216224:14310/01:00004519!RIV/2002/MSM/143102/N
http://linked.open.../vavai/riv/strany
  • 117
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GV204/97/K084), Z(MSM 143100011)
http://linked.open...iv/cisloPeriodika
  • 503
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 699741
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14310/01:00004519
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • artificial neural networks, experimental design, differential pulse polarography, linear sweep voltammetry, adenine and (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [FBF391763262]
http://linked.open...i/riv/nazevZdroje
  • JOURNAL OF ELECTROANALYTICAL CHEMISTRY
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
http://linked.open...nichUcastnikuAkce
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2001
http://linked.open...iv/tvurceVysledku
  • Havel, Josef
  • Kizek, René
  • Trnková, Libuše
  • Cukrowska, Ewa
http://linked.open...n/vavai/riv/zamer
issn
  • 0022-0728
number of pages
http://localhost/t...ganizacniJednotka
  • 14310
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