2002
SOFT MODELLING OF ELECTROPHORETIC MOBILITIES AND PREDICTION OF ANIONS RESOLUTION USING ARTIFICIAL NEURAL NETWORKS
MUZIKÁŘ, Martin, Marta FARKOVÁ a Josef HAVELZákladní údaje
Originální název
SOFT MODELLING OF ELECTROPHORETIC MOBILITIES AND PREDICTION OF ANIONS RESOLUTION USING ARTIFICIAL NEURAL NETWORKS
Autoři
MUZIKÁŘ, Martin (203 Česká republika), Marta FARKOVÁ (203 Česká republika, garant) a Josef HAVEL (203 Česká republika)
Vydání
I. Brno, CHEMOMETRICS VI, od s. P17, 1 s. 2002
Nakladatel
Masaryk University Press
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
10406 Analytical chemistry
Stát vydavatele
Česká republika
Utajení
není předmětem státního či obchodního tajemství
Kód RIV
RIV/00216224:14310/02:00007204
Organizační jednotka
Přírodovědecká fakulta
ISBN
80-210-2918-8
Klíčová slova anglicky
artificial neural networks; capillary zone electrophoresis
Změněno: 13. 5. 2003 09:32, RNDr. Marta Farková, CSc.
Anotace
V originále
The aim of this work was to developed a new buffer composition and to determine sulphate anions in the presence of high chloride excess. From preliminary screening experiments a buffer consisting of chromium trioxide, hexamethonium hydroxide and triethanolamine was selected. The prediction of optimal buffer composition was done by a combination of experimental design and artificial neural networks. The method developed has been succesfully applied for the determination of sulphate in mineral waters containing high chloride concentration. The methology has been also demonstrated on separation of other inorganic anions (nitrite and nitrate) and improvement of separation in the presence of a-cyclodextrin was investigated, as well. Using optimal electrolyte system we were able baseline-resolve sulphate from 1500 multiple excess of chloride in less than 170 sec.
Návaznosti
| GA203/02/1103, projekt VaV |
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