Literature DB >> 6726156

Estimating the date of bone remains: a multivariate study.

M A Castellano, E C Villanueva, R von Frenckel.   

Abstract

In previous works we have studied the time of death of bone residuals through the following parameters: total lipids, triglicerides , cholesterol, free fatty acids, total proteins, zinc, iron, manganese, and phosphorus. These elements were quantified in groups of recent bones of 1 and 2 years and of 10, 15, 18, and 20 years postmortem. In this present work we are putting these results under statistical analysis consisting of a stepwise regression. This program selects and introduces in the regression the element that shows the highest correlation with the time of death. In successive steps the partial correlations between the date and the elements not already included in the regression are studied, while keeping the effects of the elements already included fixed. As a result we put forward three formulas in which the time of death appears linked with the parameters that define it best. In the first the time of death of the bones Y is estimated according to the protein X1 Y = 40.0014 - 7. 4275X1 In the second formula the time of death Y, is estimated according to proteins X1 and triglicerides X2. Y = 45.5970 - 10. 8096X1 + 0. 4104X2 And in the third formula the time of death Y is estimated according to proteins X1, triglicerides X2, and cholesterol X3. Y = 52.2032 - 7. 8213X1 + 0. 6355X2 - 3.4930 In the three formulas the coefficients of the correlation between the time of death and the variables are improved when the logarithms of the variables are taken, instead of the original measurements.

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Year:  1984        PMID: 6726156

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  5 in total

1.  Technical note: early post-mortem changes of human bone in taphonomy with μCT.

Authors:  Erwan Le Garff; Vadim Mesli; Yann Delannoy; Thomas Colard; Xavier Demondion; Anne Becart; Valéry Hedouin
Journal:  Int J Legal Med       Date:  2016-12-29       Impact factor: 2.686

2.  Is bone analysis with μCT useful for short postmortem interval estimation?

Authors:  Erwan Le Garff; Vadim Mesli; Elodie Marchand; Hélène Behal; Xavier Demondion; Anne Becart; Valery Hedouin
Journal:  Int J Legal Med       Date:  2017-09-30       Impact factor: 2.686

3.  Post-mortem interval estimation of human skeletal remains by micro-computed tomography, mid-infrared microscopic imaging and energy dispersive X-ray mapping.

Authors:  S Longato; C Wöss; P Hatzer-Grubwieser; C Bauer; W Parson; S H Unterberger; V Kuhn; N Pemberger; Anton K Pallua; W Recheis; R Lackner; R Stalder; J D Pallua
Journal:  Anal Methods       Date:  2015-02-18       Impact factor: 2.896

4.  Post-Mortem Interval of Human Skeletal Remains Estimated with Handheld NIR Spectrometry.

Authors:  Verena Maria Schmidt; Philipp Zelger; Claudia Wöss; Christian Wolfgang Huck; Rohit Arora; Etienne Bechtel; Andreas Stahl; Andrea Brunner; Bettina Zelger; Michael Schirmer; Walter Rabl; Johannes Dominikus Pallua
Journal:  Biology (Basel)       Date:  2022-07-06

5.  Application of Micro-Computed Tomography for the Estimation of the Post-Mortem Interval of Human Skeletal Remains.

Authors:  Verena-Maria Schmidt; Philipp Zelger; Claudia Woess; Anton K Pallua; Rohit Arora; Gerald Degenhart; Andrea Brunner; Bettina Zelger; Michael Schirmer; Walter Rabl; Johannes D Pallua
Journal:  Biology (Basel)       Date:  2022-07-25
  5 in total

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