J 2002

Fast choice of separation conditions for analyses by capillary zone electrophoresis usingan information system Xemic

KŘIVÁNKOVÁ, Ludmila, Michal OČKO, Lubomír POPELÍNSKÝ and Petr BOČEK

Basic information

Original name

Fast choice of separation conditions for analyses by capillary zone electrophoresis usingan information system Xemic

Authors

KŘIVÁNKOVÁ, Ludmila (203 Czech Republic), Michal OČKO (203 Czech Republic), Lubomír POPELÍNSKÝ (203 Czech Republic, guarantor) and Petr BOČEK (203 Czech Republic)

Edition

Electrophoresis, Wiley-VCH Verlag GmbH, 2002, 0173-0835

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

20206 Computer hardware and architecture

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 4.325

RIV identification code

RIV/00216224:14330/02:00006713

Organization unit

Faculty of Informatics

Keywords in English

capillary zone electrophoresis; information system; machine learning; separation conditions
Změněno: 19/5/2003 11:27, doc. RNDr. Lubomír Popelínský, Ph.D.

Abstract

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.

Links

MSM 143300003, plan (intention)
Name: Interakce člověka s počítačem, dialogové systémy a asistivní technologie
Investor: Ministry of Education, Youth and Sports of the CR, Human-computer interaction, dialog systems and assistive technologies