KnE Life Sciences

ISSN: 2413-0877

The latest conference proceedings on life sciences, medicine and pharmacology.

Postmortem Interval Estimation Time from Algormortis Temperature of Rats Expressed by MARS Model Approach

Published date: Dec 03 2017

Journal Title: KnE Life Sciences

Issue title: The Veterinary Medicine International Conference (VMIC)

Pages: 404-412

DOI: 10.18502/kls.v3i6.1149

Authors:

Dwi M. SyabaniUndergraduate student Faculty of Veterinary Medicine, Universitas Airlangga. Kampus C Mulyorejo Surabaya 60115

Hana Eliyanieliyanihana@yahoo.comDepartement of Veterinary Anatomy Faculty of Veterinary Medicine, Universitas Airlangga. Kampus C Mulyorejo Surabaya 60115

Suharsono SuharsonoDepartement of Veterinary Anatomy Faculty of Veterinary Medicine, Universitas Airlangga. Kampus C Mulyorejo Surabaya 60115

Fedik A. RantamDepartement of Veterinary Microbiology Faculty of Veterinary Medicine, Universitas Airlangga. Kampus C Mulyorejo Surabaya 60115

Anwar Ma’rufDepartement of Basic Veterinary Science Faculty of Veterinary Medicine, Universitas Airlangga. Kampus C Mulyorejo Surabaya 60115

Abstract:

Estimation of Postmortem is one of the challenges in forensic science. The aim of this study was to construct a  MARS  model of  Postmortem interval  estimation time (PMT)  from  algor mortis temperature in Rat. Sixteen healthy male rats (Rattus norvegicus), onemonth old and weigh 100 gram were randomly divided into two groups (eight/each group) and were acclimated respectively among the ambient room (temperature over 28ºC) and at the conditioning room (temperature over 20ºC). The animals then were sacrificed in two days (four rats/day  for each divided room) then algor mortis by rectal temperature  were recorded after death at 0 and 2,4,6,8, 10,12, 14,16, 18,20 till 22 h respectively. The MARS model is nonlinear regression but performed as a multilinier curve that can have splines fitting and be defined as function model Y = 35.321 + 1.253 * BF1 + 0.436 * BF2 - 1.319 * BF3; and on 20ºC condition room as Y = 29.980 + 1.354 * BF1 + 0.799 * BF2 - 1.347 * BF3. Therefore,  performance model was comprised by multilinier  curve, then function model of  algor mortis on ambient  room be defined into three PMT intervals i.e: 1)Y=37,94 -0.11*(0-2h)  (p>0.00); 2) Y = 40.88 - 1.87* (2-6h) ( p<0.00) and 3) Y=30.82-0.09*(6-22h)  (p<0.00)  while on 20ºC condition room, was : 1)Y = 34.78-0.09* (0-2h) (p<0.00) ; 2) Y = 37.97-2.38* (2-6h) (p<0.00) and  3)Y = 25.36-0.04* 6-22 h (p>0.00). The acceleration of the declining algor mortis at conditioning room showed steeper than on ambient room at 2-6h PMT interval   (ß : 2,38 vs  1,87). Postmortem Time Interval Estimation from  Algormortis Temperature of Rats could be expressed by MARS Model. The pattern model of estimation comprised by multilinear curve with splines was fitted at both of the experimental rooms.

Keywords : Postmortem time interval, algor mortis, MARS model estimation
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