Spektrofotometrická analýza bazí nukleových kyselin v binární a ternární směsi pomocí PLS a ANN

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F06%3A00019330" target="_blank" >RIV/00216224:14310/06:00019330 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Spectrophotometric analysis of nucleic acid bases in binary and ternary mixtures by partial least squares and artificial neural networks

Popis výsledku v původním jazyce

The contribution shows a comparative study of the use of partial least squares (PLS) and artificial neural networks (ANNs) to analyze nucleic acid bases (adenine - A, cytosine - C, thymine -T) in mixtures by UV-Vis spectrophotometry. Multivariate calibration based on a suitable experimental design (ED) and soft modeling for the quantitative analysis of fully overlapped ultraviolet spectra of A+C binary and/or A+C+T ternary systems were employed. The optimal ANN architecture, enabling to model the system, was established by means of TRAJAN program. Using the multivariate statistical method SIMCA the linearity of the PLS model for dilute solutions containing two or three bases in acetate buffer (pH 4.7) was proved. A combination of the chemometric methods and derivative spectrophotometry was applied. The ability of ANN and PLS to model binary and ternary systems was evaluated on the basis of the root means square error for prediction (RMSEP) and the agreement factor (AF). For the determi

Název v anglickém jazyce

Spectrophotometric analysis of nucleic acid bases in binary and ternary mixtures by partial least squares and artificial neural networks

Popis výsledku anglicky

The contribution shows a comparative study of the use of partial least squares (PLS) and artificial neural networks (ANNs) to analyze nucleic acid bases (adenine - A, cytosine - C, thymine -T) in mixtures by UV-Vis spectrophotometry. Multivariate calibration based on a suitable experimental design (ED) and soft modeling for the quantitative analysis of fully overlapped ultraviolet spectra of A+C binary and/or A+C+T ternary systems were employed. The optimal ANN architecture, enabling to model the system, was established by means of TRAJAN program. Using the multivariate statistical method SIMCA the linearity of the PLS model for dilute solutions containing two or three bases in acetate buffer (pH 4.7) was proved. A combination of the chemometric methods and derivative spectrophotometry was applied. The ability of ANN and PLS to model binary and ternary systems was evaluated on the basis of the root means square error for prediction (RMSEP) and the agreement factor (AF). For the determi

Druh

D - Stať ve sborníku

CEP obor

CB - Analytická chemie, separace

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2006

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

3rd International Symposium on Computer Applications and Chemometrics in Analytical Chemistry SCAC 2006

ISBN

963-9696-01-3

ISSN

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e-ISSN

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Počet stran výsledku

1

Strana od-do

7-7

Název nakladatele

University of Veszprém

Místo vydání

Veszprém

Místo konání akce

Lake Balaton, Hungary

Datum konání akce

1. 7. 2006

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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