| The development and application of a diatom-based quantitative reconstruction technique in forensic science. | |
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MedLine Citation:
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PMID: 16696714 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Diatoms are a group of unicellular algae that have been recorded and classified for over 200 years and have been used in a range of applications in forensic science. We have developed a quantitative diatom-based reconstruction technique to confirm drowning as a cause of death and localize the site of drowning in two recent, high-profile, case studies. In both case studies we collected diatom samples from the local and/or regional area to act as a control in the examination of diatom assemblages associated with lungs and clothing. In Case Study 1 the modern analog technique suggested that all lung and clothing samples have statistically significant similarities to control samples from shallow water habitats. In Case Study 2, the analog matching suggested that the majority of lung samples show a statistically significant relationship to samples from a pond, indicating that this was the drowning medium. |
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Authors:
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Benjamin P Horton; Steve Boreham; Caroline Hillier |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of forensic sciences Volume: 51 ISSN: 0022-1198 ISO Abbreviation: J. Forensic Sci. Publication Date: 2006 May |
Date Detail:
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Created Date: 2006-05-15 Completed Date: 2006-07-20 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0375370 Medline TA: J Forensic Sci Country: United States |
Other Details:
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Languages: eng Pagination: 643-50 Citation Subset: IM |
Affiliation:
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Sea Level Research Laboratory, Department of Earth and Environmental Science, University of Pennsylvania, Philadelphia, PA 19104-6316, USA. bphorton@sas.upenn.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Clothing Diatoms / isolation & purification* Drowning / diagnosis* Female Forensic Medicine / methods* Fresh Water Humans Lung / pathology Male Species Specificity |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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