Detailed Information on Publication Record
2002
SOFT MODELLING OF ELECTROPHORETIC MOBILITIES AND PREDICTION OF ANIONS RESOLUTION USING ARTIFICIAL NEURAL NETWORKS
MUZIKÁŘ, Martin, Marta FARKOVÁ and Josef HAVELBasic information
Original name
SOFT MODELLING OF ELECTROPHORETIC MOBILITIES AND PREDICTION OF ANIONS RESOLUTION USING ARTIFICIAL NEURAL NETWORKS
Authors
MUZIKÁŘ, Martin (203 Czech Republic), Marta FARKOVÁ (203 Czech Republic, guarantor) and Josef HAVEL (203 Czech Republic)
Edition
I. Brno, CHEMOMETRICS VI, p. P17, 1 pp. 2002
Publisher
Masaryk University Press
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10406 Analytical chemistry
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
RIV identification code
RIV/00216224:14310/02:00007204
Organization unit
Faculty of Science
ISBN
80-210-2918-8
Keywords in English
artificial neural networks; capillary zone electrophoresis
Změněno: 13/5/2003 09:32, RNDr. Marta Farková, CSc.
Abstract
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.
Links
| GA203/02/1103, research and development project |
|