Use of artificial neural networks for the evaluation UV-Vis spectra of adenine and cytosine in mixtures

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F02%3A00006278" target="_blank" >RIV/00216224:14310/02:00006278 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Use of artificial neural networks for the evaluation UV-Vis spectra of adenine and cytosine in mixtures
Original language description
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.
Czech name
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Czech description
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Project
<a href="/en/project/IAA1163201" target="_blank" >IAA1163201: Application of adsorptive transfer and elemination techniques in oligonucleotides and nucleic acids analysis.</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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