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Description
  • The application of the combination of experimental design (ED) and artificial neural networks (ANNs) for the quantification of overlapped peaks in capillary zone electrophoresis is described. When the total separation cannot be achieved by separation techniques, the use of ED-ANN can be a suitable approach. The unstability of EOF causes peak shift that has to be corrected in order to apply ED-ANN methods. In this work, normalization procedure of electropherograms with consequent application of ANNs for quantification purpose was developed. Both, spectra and electropherograms can be used as multivariate data. In general, both kinds of data were found to be suitable for unresolved peaks quantification by ED-ANN approach.
  • The application of the combination of experimental design (ED) and artificial neural networks (ANNs) for the quantification of overlapped peaks in capillary zone electrophoresis is described. When the total separation cannot be achieved by separation techniques, the use of ED-ANN can be a suitable approach. The unstability of EOF causes peak shift that has to be corrected in order to apply ED-ANN methods. In this work, normalization procedure of electropherograms with consequent application of ANNs for quantification purpose was developed. Both, spectra and electropherograms can be used as multivariate data. In general, both kinds of data were found to be suitable for unresolved peaks quantification by ED-ANN approach. (en)
  • The application of the combination of experimental design (ED) and artificial neural networks (ANNs) for the quantification of overlapped peaks in capillary zone electrophoresis is described. When the total separation cannot be achieved by separation techniques, the use of ED-ANN can be a suitable approach. The unstability of EOF causes peak shift that has to be corrected in order to apply ED-ANN methods. In this work, normalization procedure of electropherograms with consequent application of ANNs for quantification purpose was developed. Both, spectra and electropherograms can be used as multivariate data. In general, both kinds of data were found to be suitable for unresolved peaks quantification by ED-ANN approach. (cs)
Title
  • Artificial neural networks for quantification in unresolved capillary electrophoresis peaks
  • Artificial neural networks for quantification in unresolved capillary electrophoresis peaks (en)
  • Artificial neural networks for quantification in unresolved capillary electrophoresis peaks (cs)
skos:prefLabel
  • Artificial neural networks for quantification in unresolved capillary electrophoresis peaks
  • Artificial neural networks for quantification in unresolved capillary electrophoresis peaks (en)
  • Artificial neural networks for quantification in unresolved capillary electrophoresis peaks (cs)
skos:notation
  • RIV/00216224:14310/02:00005586!RIV08-MSM-14310___
http://linked.open.../vavai/riv/strany
  • 47
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 143100011)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 639002
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14310/02:00005586
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • capillary zone electrophoresis; unresolved peaks; experimental design; normalization; artificial neural networks; quantitation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [F370EF957601]
http://linked.open...i/riv/nazevZdroje
  • Analytica Chimica Acta
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 452
http://linked.open...iv/tvurceVysledku
  • Havel, Josef
  • Farková, Marta
  • Bocaz Beneventi, Gaston Guillermo
  • Latorre, Rosa
http://linked.open...n/vavai/riv/zamer
issn
  • 0003-2670
number of pages
http://localhost/t...ganizacniJednotka
  • 14310
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