2002
Fast choice of separation conditions for analyses by capillary zone electrophoresis usingan information system Xemic
KŘIVÁNKOVÁ, Ludmila, Michal OČKO, Lubomír POPELÍNSKÝ a Petr BOČEKZákladní údaje
Originální název
Fast choice of separation conditions for analyses by capillary zone electrophoresis usingan information system Xemic
Autoři
KŘIVÁNKOVÁ, Ludmila (203 Česká republika), Michal OČKO (203 Česká republika), Lubomír POPELÍNSKÝ (203 Česká republika, garant) a Petr BOČEK (203 Česká republika)
Vydání
Electrophoresis, Wiley-VCH Verlag GmbH, 2002, 0173-0835
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
20206 Computer hardware and architecture
Stát vydavatele
Česká republika
Utajení
není předmětem státního či obchodního tajemství
Impakt faktor
Impact factor: 4.325
Kód RIV
RIV/00216224:14330/02:00006713
Organizační jednotka
Fakulta informatiky
Klíčová slova anglicky
capillary zone electrophoresis; information system; machine learning; separation conditions
Změněno: 19. 5. 2003 11:27, doc. RNDr. Lubomír Popelínský, Ph.D.
Anotace
V originále
An information system Xemic applicable in analytical chemistry is described and its use in capillary electrophoresis for searching suitable separation conditions is demonstrated. The system works with a database of components of anionic character the analysis of which has been performed, published, and included into a database created by an expert. Moreover, the system was learned by an expert to search also in abstracts or complete scientific articles to find articles dealing with the determination of a substance in a given sample matrix. When no experiments have been published so far for a given substance in a given matrix, Xemic shows the separation conditions for determination of the substance regardless of the matrix. When no response can be found for the analyte of interest at all, the system Xemic offers a series of substances the physico- chemical properties of which are close to the followed analyte. With a certain probability the analyte of interest can be successfully analyzed using separation conditions that were used for the analysis of the most similar substances in the given matrix.
Návaznosti
MSM 143300003, záměr |
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