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NCJ Number: NCJ 182672     Find in a Library
Title: Identifications and Quantitative Measurements of Narcotics in Solid Mixtures Using Near-IR Raman Spectroscopy and Multivariate Analysis
Author(s): Alan G. Ryder Ph.D. ; Gerard M. O'Connor Ph.D. ; Thomas J. Glynn Ph.D.
  Editor(s): R. E. Gaensslen Ph.D.
  Journal: Journal of Forensic Sciences  Volume:44  Issue:5  Dated:September 1999  Pages:1013 to 1019
Date Published: 1999
Page Count: 7
  Annotation: Raman spectroscopy offers the potential for identifying illegal drugs in seconds by inelastic scattering of light from molecular vibrations.
Abstract: In this study, cocaine, heroin, and MDMA were analyzed using near-infrared (785 nm excitation) micro-Raman spectroscopy. Drugs were dispersed in solid dilutants of different concentrations by weight. The dilutants investigated were foodstuffs (flour and baby milk formula), sugars (glucose, lactose, maltose, and mannitol), and inorganic materials such as powder. In most cases, it was possible to detect the presence of drugs at levels down to about 10 percent by weight. The detection sensitivity of the Raman technique depended on a number of factors, such as scattering cross-sections of drug and dilutant, fluorescence of matrix or drug, complexity of dilutant Raman spectrum, and spectrometer resolution. Raman spectra from a series of 20 mixtures of cocaine and glucose were collected and analyzed using multivariate analysis methods. An accurate prediction model was generated using a partial least squares algorithm that could predicted the concentration of cocaine in solid glucose from a single Raman spectrum with a root mean standard error of prediction of 2.3 percent. 29 references, 4 tables, and 9 figures
Main Term(s): Criminology
Index Term(s): Spectroscopy ; Heroin ; Cocaine ; Drug detection ; Evidence identification and analysis ; Infrared techniques ; Drug analysis ; Criminal investigation ; Criminalistics ; Forensics/Forensic Sciences ; Designer drugs ; MDMA (designer drug)
Country: United States of America
Language: English
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