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@inproceedings{404666,
author = {Topinková, Jana and Trnková, Libuše and Havel, Josef},
address = {Praha},
booktitle = {Chemické listy},
keywords = {adenine;cytosine;UV-Vis spectra;artificial neural networks;TRAJAN 6;chemometrics},
language = {eng},
location = {Praha},
isbn = {0009-2770},
pages = {482-482},
publisher = {Česká společnost chemická},
title = {Use of artificial neural networks for the evaluation UV-Vis spectra of adenine and cytosine in mixtures},
year = {2002}
}
TY - JOUR
ID - 404666
AU - Topinková, Jana - Trnková, Libuše - Havel, Josef
PY - 2002
TI - Use of artificial neural networks for the evaluation UV-Vis spectra of adenine and cytosine in mixtures
PB - Česká společnost chemická
CY - Praha
SN - 00092770
KW - adenine;cytosine;UV-Vis spectra;artificial neural networks;TRAJAN 6;chemometrics
N2 - Recently we have demonstrated advantages of artificial neural networks (ANNs) for quantification of nucleic acid bases mixtures from overlapping voltammetric signals. In this work ANNs were applied to analyze adenine-cytosine mixtures from UV-Vis spectra. Spectra of these compounds are highly similar (lambda max 261 and 270nm, respectively) and common spectral approaches of analysis are failing. The optimal ANN architecture, able to model the system, was established. Software of ANNs method was from TRAJAN 6 program. Using the suitable experimental design with soft ANN modeling adenine - cytosine mixtures can be quantified with an excellent precision (less than 1%). Generally, ANNs open many possibilities for the analysis of mixtures of biologically important substances with very overlapped signals, even without the explicit knowledge of their behavior.
ER -
TOPINKOVÁ, Jana, Libuše TRNKOVÁ a Josef HAVEL. Use of artificial neural networks for the evaluation UV-Vis spectra of adenine and cytosine in mixtures. In \textit{Chemické listy}. Praha: Česká společnost chemická, 2002, s.~482. ISBN~0009-2770.
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