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Details of Grant 

EPSRC Reference: GR/S98054/01
Title: A laboratory based analytical method to determine 'age at death' for forensic purposes using human bone
Principal Investigator: Zioupos, Professor P
Other Investigators:
Black, Dr S
Researcher Co-Investigators:
Project Partners:
CSM Instruments SA Forensic Alliance Ltd Forensic Science Service Ltd
University of Melbourne
Department: Cranfield Defence and Security
Organisation: Cranfield University
Scheme: Standard Research (Pre-FEC)
Starts: 13 September 2004 Ends: 12 September 2006 Value (£): 127,693
EPSRC Research Topic Classifications:
Analytical Science Development (Biosciences)
Materials testing & eng.
EPSRC Industrial Sector Classifications:
Healthcare
Related Grants:
Panel History:  
Summary on Grant Application Form
This is a proposal within the remit of forensic science/crime detection and in the field of forensic osteology (anthropology/pathology). This proposal outlines plans to develop, validate and assess a new methodology to predict 'age at death' of individuals by using laboratory based analytical techniques. The analysis is based on human bone samples and requires only a small amount of tissue, as may be the case in dismembered bodies or where the corpses have sustained excessive damage or fragmentation. Death may be due to natural causes, homicide, suicide, mass disaster or war crimes, such as massacres incited nowadays by religious or ethnic cleansing. Age is one of the four important attributes that a forensic anthropologist is called to answer together with sex, stature and ethnic background. Current methods often are unable to determined age better than saying a mature adult . Examination of skeletal features offers accuracy no better than 15 years, while the best-known analytical technique is based on quantification of ontogenic changes in the optical isomers of aspartic acid present in the body, yet it is a complex method and is inaccurate for females. The proposed new methodology is based on a more thorough characterisation of the material aspects of human bone. It works by quantifying constitutional and/or heterogeneity related changes in the inner structure and properties of the bone matrix and its elements to produce through a series of algorithms prediction values for the age of the individual, which are in most cases within 3 years of the actual values.
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Summary
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Project URL:  
Further Information:  
Organisation Website: http://www.cranfield.ac.uk