2002
Use of artificial neural networks for the evaluation UV-Vis spectra of adenine and cytosine in mixtures
TOPINKOVÁ, Jana; Libuše TRNKOVÁ and Josef HAVELBasic information
Original name
Use of artificial neural networks for the evaluation UV-Vis spectra of adenine and cytosine in mixtures
Authors
TOPINKOVÁ, Jana (203 Czech Republic); Libuše TRNKOVÁ (203 Czech Republic, guarantor) and Josef HAVEL (203 Czech Republic)
Edition
Praha, Chemické listy, p. 482-482, 2002
Publisher
Česká společnost chemická
Other information
Language
English
Type of outcome
Proceedings paper
Field of Study
10406 Analytical chemistry
Country of publisher
Czech Republic
Confidentiality degree
is not subject to a state or trade secret
RIV identification code
RIV/00216224:14310/02:00006278
Organization unit
Faculty of Science
ISBN
0009-2770
Keywords in English
adenine;cytosine;UV-Vis spectra;artificial neural networks;TRAJAN 6;chemometrics
Changed: 30/5/2003 18:47, prof. RNDr. Libuše Trnková, CSc.
Abstract
In the original language
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.
Links
GA203/02/0422, research and development project |
| ||
GV204/97/K084, research and development project |
| ||
IAA1163201, research and development project |
| ||
MSM 143100011, plan (intention) |
|