2002
Capillary zone electrophoresis and artificial neural networks for estimation of the post-mortem interval (PMI) using electrolytes measurements in human vetreous humour
BOCAZ BENEVENTI, Gaston Guiller; F. TAGLIARO; F. BORTOLOTTI; G. MANETTO; Josef HAVEL et al.Základní údaje
Originální název
Capillary zone electrophoresis and artificial neural networks for estimation of the post-mortem interval (PMI) using electrolytes measurements in human vetreous humour
Autoři
BOCAZ BENEVENTI, Gaston Guiller; F. TAGLIARO; F. BORTOLOTTI; G. MANETTO a Josef HAVEL
Vydání
International journal of legal medicine, Germany, Springer, 2002, 0937-9827
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10406 Analytical chemistry
Stát vydavatele
Německo
Utajení
není předmětem státního či obchodního tajemství
Impakt faktor
Impact factor: 1.918
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14310/02:00005630
Organizační jednotka
Přírodovědecká fakulta
Klíčová slova anglicky
capillary zone electrophoresis; artificial neural networks; post-mortem interval
Změněno: 2. 6. 2003 13:15, prof. RNDr. Josef Havel, DrSc.
Anotace
V originále
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.
Návaznosti
| MSM 143100011, záměr |
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