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Published on: November 10, 2016
Illicit and Counterfeit Drug Analysis by Morphologically Directed Raman Spectroscopy
Andrew C Koutrakos1, Pauline E Leary1, Brooke W Kammrath2
1Forensic Science Department, Henry C. Lee College of Criminal Justice and Forensic Sciences, University of New Haven, West Haven, CT, USA.
Morphologically directed Raman spectroscopy (MDRS) offers a novel forensic tool for analyzing illicit and counterfeit drugs. This technique combines imaging and spectroscopy to reveal sample composition, aiding investigations and case adjudications.
Area of Science:
- Forensic Science
- Analytical Chemistry
- Spectroscopy
Background:
- Illicit and counterfeit drugs pose significant challenges in forensic analysis.
- Traditional methods may lack the comprehensive information needed for attribution and history.
- A need exists for advanced techniques to analyze complex drug mixtures.
Purpose of the Study:
- To introduce and demonstrate Morphologically Directed Raman Spectroscopy (MDRS) as a novel forensic tool.
- To showcase the capability of MDRS in analyzing diverse illicit and counterfeit drug samples.
- To highlight the utility of MDRS in forensic investigations and legal proceedings.
Main Methods:
- MDRS integrates automated particle imaging with Raman microspectroscopy.
- Automated imaging guides the selection of particles for detailed spectral analysis.
- This combined approach yields both physical and chemical information from sample components.
Main Results:
- MDRS was applied to four distinct case studies involving illicit and counterfeit drugs.
- Analyses included multicomponent mixtures for source attribution, trace particle detection, synthetic cathinones, and counterfeit pharmaceuticals.
- The technique provided insights into sample composition, manufacturing, and history.
Conclusions:
- MDRS is a powerful and versatile tool for the forensic analysis of illicit and counterfeit drugs.
- The method offers detailed physical and chemical characterization crucial for forensic investigations.
- MDRS supports comparative source attribution and the understanding of drug sample origins and production.
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