Analytical separations of mammalian decomposition products for forensic science: A review
Access Status
Authors
Date
2010Type
Metadata
Show full item recordCitation
Source Title
ISSN
Faculty
Remarks
The link to the journal’s home page is: http://www.elsevier.com/wps/find/journaldescription.cws_home/502681/description#description. Copyright © 2010 Elsevier B.V. All rights reserved
Collection
Abstract
The study of mammalian soft tissue decomposition is an emerging area in forensic science, with a major focus of the research being the use of various chemical and biological methods to study the fate of human remains in the environment. Decomposition of mammalian soft tissue is a postmortem process that, depending on environmental conditions and physiological factors, will proceed until complete disintegration of the tissue. The major stages of decomposition involve complex reactions which result in the chemical breakdown of the body's main constituents; lipids, proteins, and carbohydrates. The first step to understanding this chemistry is identifying the compounds present in decomposition fluids and determining when they are produced. This paper provides an overview of decomposition chemistry andreviews recent advances in this area utilising analytical separation science.
Related items
Showing items related by title, author, creator and subject.
-
Fisher, Nicholas G. (2000)Activated carbon is widely used in the gold processing industry as an adsorbent for the gold cyanide complex, [Au(CN)(subscript)2]. However, many other processing reagents are also adsorbed (termed fouling), which compete ...
-
Swann, Lisa (2011)This thesis describes investigations that were carried out to determine the chemical compounds produced during the decomposition of an animal model in the absence of a soil matrix. In order to do this, several analytical ...
-
Duong, Thi V. T. (2008)Modeling patterns in temporal data has arisen as an important problem in engineering and science. This has led to the popularity of several dynamic models, in particular the renowned hidden Markov model (HMM) [Rabiner, ...