Detailed Information on Publication Record
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 HAVELBasic 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
Tags
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 |
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MSM 143100011, plan (intention) |
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