Artificial Neural Networks for Quantitative Analysis of Ade-Cyt Mixtures by UV-Vis Spectrophotometry

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F99%3A00003220" target="_blank" >RIV/00216224:14310/99:00003220 - 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

Artificial Neural Networks for Quantitative Analysis of Ade-Cyt Mixtures by UV-Vis Spectrophotometry

Original language description

This work presents the application of experimental desing and artificial neural networks for quantifying purine and pyrimidine in mixtures studied by UV-Vis spectrophotometry. Multivariate calibration based on a suitable experimental design (ED) and softmodelling with artificial neural networks (ANNs) is used for quantitative analysis of highly overlapped absorbance spectra of adenine and cytosine.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

CB - Analytical chemistry, separation

OECD FORD branch

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Project

<a href="/en/project/GV204%2F97%2FK084" target="_blank" >GV204/97/K084: Electrodes modified with nucleic acids and proteins.New tools in biochemical and biomedical research.</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

1999

Confidentiality

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

Article name in the collection

Chemometrics V

ISBN

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ISSN

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e-ISSN

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Number of pages

1

Pages from-to

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Publisher name

Masaryk University, Brno

Place of publication

Brno, Czech Republic

Event location

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Event date

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Type of event by nationality

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UT code for WoS article

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