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Sensors 2016, 16(3), 278; doi:10.3390/s16030278

Analysis of Forensic Casework Utilizing Infrared Spectroscopic Imaging

FDA Forensic Chemistry Center, Cincinnati, OH 45237, USA
The contents of this manuscript will be presented at the Microscopy and Microanalysis Annual Conference, Columbus, OH, USA, 24–28 July 2016.
Academic Editors: Vincenzo Spagnolo and Dragan Indjin
Received: 4 December 2015 / Revised: 22 January 2016 / Accepted: 2 February 2016 / Published: 24 February 2016
(This article belongs to the Special Issue Infrared and THz Sensing and Imaging)
View Full-Text   |   Download PDF [2194 KB, uploaded 24 February 2016]   |  

Abstract

A search of the current scientific literature yields a limited number of studies that describe the use of Fourier transform infrared (FT-IR) spectroscopic imaging for the analysis of forensic casework, which is likely due to the fact that these instruments are fairly new commodities to the field of analytical chemistry and are therefore not yet commonplace in forensic laboratories. This report describes recent forensic case studies that have used the technique for determining the composition of a wide variety of multi-component sample types, including animal tissue sections for toxic inclusions, drugs/dietary supplements, an antibiotic with an active pharmaceutical ingredient (API) present as several different salt forms, an adulterated bulk API, unknown trace powders for illicit drugs and an ophthalmic solution suspected of being adulterated with bleach. View Full-Text
Keywords: infrared spectroscopic imaging; forensic science; adulteration; dietary supplement; melamine cyanurate infrared spectroscopic imaging; forensic science; adulteration; dietary supplement; melamine cyanurate
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Lanzarotta, A. Analysis of Forensic Casework Utilizing Infrared Spectroscopic Imaging. Sensors 2016, 16, 278.

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