| BOCAZ BENEVENTI, Gaston Guiller, F. TAGLIARO, F. BORTOLOTTI, G. MANETTO a Josef HAVEL. Capillary zone electrophoresis and artificial neural networks for estimation of the post-mortem interval (PMI) using electrolytes measurements in human vetreous humour. International journal of legal medicine. Germany: Springer, 2002, roč. 116, č. 1, s. 5-10. ISSN 0937-9827. |
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@article{402191,
author = {Bocaz Beneventi, Gaston Guiller and Tagliaro, F. and Bortolotti, F. and Manetto, G. and Havel, Josef},
article_location = {Germany},
article_number = {1},
keywords = {capillary zone electrophoresis; artificial neural networks; post-mortem interval},
language = {eng},
issn = {0937-9827},
journal = {International journal of legal medicine},
title = {Capillary zone electrophoresis and artificial neural networks for estimation of the post-mortem interval (PMI) using electrolytes measurements in human vetreous humour},
volume = {116},
year = {2002}
}
TY - JOUR
ID - 402191
AU - Bocaz Beneventi, Gaston Guiller - Tagliaro, F. - Bortolotti, F. - Manetto, G. - Havel, Josef
PY - 2002
TI - Capillary zone electrophoresis and artificial neural networks for estimation of the post-mortem interval (PMI) using electrolytes measurements in human vetreous humour
JF - International journal of legal medicine
VL - 116
IS - 1
SP - 5
EP - 5
PB - Springer
SN - 09379827
KW - capillary zone electrophoresis
KW - artificial neural networks
KW - post-mortem interval
N2 - Determination of electrolyte concentrations in vitreous humour has long been considered an important tool in human death investigations for the estimation of the post-mortem interval. On the basis of its well known potential in ion analysis, capillary zone electrophoresis has recently been applied to achieve a rapid and simultaneous determination of inorganic ions in this extracellular fluid. In the present work, artificial neural networks were applied for modelling of the relationship of multicomponent CZE analysis of K+, NH4+, Na+ and Ba2+ ions in vitreous humour with PMI. In a study based on 61 cases with different causes of death and a known PMI ranging from 3 to 144 h, the use of ANNs considering all inorganic ion data from the human vitreous humour, achieved a substantial improvement of post-mortem interval prediction. Good linear correlation was observed and in comparison to the traditional linear least squares method applied only to K+ levels in the vitreous humour, the prediction of PMI with ANN was improved by a factor of 5 from 15 h to less than 3 h.
ER -
BOCAZ BENEVENTI, Gaston Guiller, F. TAGLIARO, F. BORTOLOTTI, G. MANETTO a Josef HAVEL. Capillary zone electrophoresis and artificial neural networks for estimation of the post-mortem interval (PMI) using electrolytes measurements in human vetreous humour. \textit{International journal of legal medicine}. Germany: Springer, 2002, roč.~116, č.~1, s.~5-10. ISSN~0937-9827.
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