| POLÁŠKOVÁ, Pavla, Gaston Guillermo BOCAZ BENEVENTI, Hua LI a Josef HAVEL. Evaluation of calibration data in capillary electrophoresis using artificial neural networks to increase precision of analysis. JOURNAL OF CHROMATOGRAPHY A. AMSTERDAM: ELSEVIER SCIENCE BV, 2002, roč. 979, 1-2, s. 59-67, 8Increase. ISSN 0021-9673. |
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@article{485220,
author = {Polášková, Pavla and Bocaz Beneventi, Gaston Guillermo and Li, Hua and Havel, Josef},
article_location = {AMSTERDAM},
article_number = {1-2},
keywords = {calibration data; capillary electrophoresis; artificial neural networks},
language = {eng},
issn = {0021-9673},
journal = {JOURNAL OF CHROMATOGRAPHY A},
title = {Evaluation of calibration data in capillary electrophoresis using artificial neural networks to increase precision of analysis},
volume = {979},
year = {2002}
}
TY - JOUR
ID - 485220
AU - Polášková, Pavla - Bocaz Beneventi, Gaston Guillermo - Li, Hua - Havel, Josef
PY - 2002
TI - Evaluation of calibration data in capillary electrophoresis using artificial neural networks to increase precision of analysis
JF - JOURNAL OF CHROMATOGRAPHY A
VL - 979
IS - 1-2
SP - 59-67
EP - 59-67
PB - ELSEVIER SCIENCE BV
SN - 00219673
KW - calibration data
KW - capillary electrophoresis
KW - artificial neural networks
N2 - Increase of precision in capillary electrophoresis can be achieved applying suitable markers and evaluating calibration curves and data analysis with artificial neural networks. They are able to account for errors in both x- and y-axes, nonlinear response of detector and non-linearity of calibration curves eventually. A comparison of the artificial neural networks approach with ordinary least-squares (OLS) and bivariate least-squares regression (BLS) was done. While OLS and BLS give similar results, the method proposed and tested in analysis of several pharmaceutical products yields lower prediction errors than traditional linear least-squares methods and the precision of analysis was found in the range 0.5-1.5% relative. (C) 2002 Elsevier Science B.V. All rights reserved.
ER -
POLÁŠKOVÁ, Pavla, Gaston Guillermo BOCAZ BENEVENTI, Hua LI a Josef HAVEL. Evaluation of calibration data in capillary electrophoresis using artificial neural networks to increase precision of analysis. \textit{JOURNAL OF CHROMATOGRAPHY A}. AMSTERDAM: ELSEVIER SCIENCE BV, 2002, roč.~979, 1-2, s.~59-67, 8Increase. ISSN~0021-9673.
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