Volume 56, Issue 5 pp. 1268-1276
TECHNICAL NOTE
CRIMINALISTICS

Differentiation of Bullet Type Based on the Analysis of Gunshot Residue Using Inductively Coupled Plasma Mass Spectrometry*

Ruth N. Udey M.S.

Ruth N. Udey M.S.

Forensic Science Program, School of Criminal Justice, Michigan State University, 560 Baker Hall, East Lansing, MI 48824.

Department of Chemistry, Michigan State University, East Lansing, MI 48824.

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Brian C. Hunter M.D.

Brian C. Hunter M.D.

Genesee County Medical Examiner’s Office, 630 S Saginaw St., Flint, MI 48502.

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Ruth Waddell Smith Ph.D.

Ruth Waddell Smith Ph.D.

Forensic Science Program, School of Criminal Justice, Michigan State University, 560 Baker Hall, East Lansing, MI 48824.

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First published: 21 July 2011
Citations: 28
Additional information and reprint requests:
Ruth Waddell Smith, Ph.D.
School of Criminal Justice and Department of Chemistry
Michigan State University
560 Baker Hall
East Lansing, MI 48824
E-mail: [email protected]

Presented at the 62nd Annual Meeting of the American Academy of Forensic Sciences, February 22-27, 2010, in Seattle, WA.

Abstract

Abstract: Porcine tissue samples shot with two different types of bullets, jacketed and nonjacketed, were collected in the fresh state and throughout moderate decomposition. Wound samples were microwave-digested and analyzed using inductively coupled plasma mass spectrometry (ICP-MS) to detect all elements present at measurable levels in gunshot residue (GSR). Elements detected included antimony (Sb), barium (Ba), and lead (Pb), which are considered characteristic of GSR, as well as iron (Fe) and copper (Cu). These five elements were used to differentiate shot tissue and unshot tissue, as well as tissue shot by the two different bullet types, both in the fresh state and throughout moderate decomposition. The concentrations of Cu, Sb, and Pb were able to distinguish the two bullet types in fresh tissue samples at the 95% confidence level. Cu and Pb were able to differentiate the bullet types throughout moderate decomposition at the 99% confidence level.

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