Artificial Neural Network for Quantitative Analysis of Adenine-Cytosine Mixtures by Linear Scan Voltammetry and Differential Pulse Polarography

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F99%3A00003219" target="_blank" >RIV/00216224:14310/99:00003219 - 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 Network for Quantitative Analysis of Adenine-Cytosine Mixtures by Linear Scan Voltammetry and Differential Pulse Polarography

Original language description

A new method for the simultaneous determination of adenine and cytosine is described. Multivariate calibration based on a suitable experimental design (ED) and soft modeling with artificial neural networks (ANN) is used for quantitative analysis of highly overlapped linear scan voltammetric (LSV) and differential pulse polarographic (DPP) peaks of two nucleic acid bases, adenine and cytosine, which occur in the region of hydrogen evolution. The method is quite general and it can be used for analysis ofbiologically important substances without their separation.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

CG - Electrochemistry

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

Modern Electroanalytical Methods

ISBN

80-7194-212-X

ISSN

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e-ISSN

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Number of pages

1

Pages from-to

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Publisher name

Univerzita Pardubice

Place of publication

Pardubice

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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