Document Detail


Human hair in the identification of cocaine abuse with cantilever-enhanced photoacoustic spectroscopy and principal component analysis.
MedLine Citation:
PMID:  23876723     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
In this study, a novel approach combining different techniques, including Fourier transform infrared (FT-IR) spectroscopy, photoacoustic spectroscopy (PAS) with an interferometric cantilever microphone, and principal component analysis (PCA) along with a proper data preprocessing procedure, have been used in the investigation of hair samples for cocaine abuse. Hair fibers from cocaine-overdose patients have been measured using a simple procedure involving cantilever-enhanced photoacoustic Fourier transform infrared spectroscopy. In addition, a reference group of hair samples from subjects with no cocaine abuse has been measured. We present a first approach to discriminate the cocaine users from the reference group with the photoacoustic method and PCA. With proper data preprocessing methods, the two groups were successfully separated according to their spectra. The results were confirmed with two different classification methods independent of the principal component data analysis.
Authors:
Jaakko Lehtinen; Christian Bernd Hirschmann; Riitta Liisa Keiski; Tom Kuusela
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Applied spectroscopy     Volume:  67     ISSN:  1943-3530     ISO Abbreviation:  Appl Spectrosc     Publication Date:  2013 Aug 
Date Detail:
Created Date:  2013-07-23     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0372406     Medline TA:  Appl Spectrosc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  846-50     Citation Subset:  IM    
Affiliation:
University of Turku, Department of Physics and Astronomy, Laboratory of Optics and Spectroscopy, Vesilinnantie 5, FI-20014, Turku, Finland.
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