Capillary zone electrophoresis and artificial neural networks for estimation of the post-mortem interval (PMI) using electrolytes measurements in human vetreous humour

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F02%3A00005630" target="_blank" >RIV/00216224:14310/02:00005630 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Capillary zone electrophoresis and artificial neural networks for estimation of the post-mortem interval (PMI) using electrolytes measurements in human vetreous humour

Original language description

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 multicomponentCZE 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 predict

Czech name

Capillary zone electrophoresis and artificial neural networks for estimation of the post-mortem interval (PMI) using electrolytes measurements in human vetreous humour

Czech description

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 multicomponentCZE 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 predict

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

CB - Analytical chemistry, separation

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2002

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

International journal of legal medicine

ISSN

0937-9827

e-ISSN

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Volume of the periodical

116

Issue of the periodical within the volume

1

Country of publishing house

DE - GERMANY

Number of pages

6

Pages from-to

5

UT code for WoS article

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EID of the result in the Scopus database

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