Human hair in the identification of cocaine abuse with cantilever-Enhanced photoacoustic spectroscopy and principal component analysis

Jaakko Lehtinen (Corresponding Author), Christian Hirschmann, Riitta Liisa Keiski, Tom Kuusela

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)846-850
JournalApplied Spectroscopy
Volume67
Issue number8
DOIs
Publication statusPublished - 2013
MoE publication typeA1 Journal article-refereed

Fingerprint

Photoacoustic spectroscopy
photoacoustic spectroscopy
Photoacoustic effect
hair
principal components analysis
Cocaine
Principal component analysis
Fourier transform infrared spectroscopy
preprocessing
Microphones
infrared spectroscopy
microphones
Fibers
fibers

Keywords

  • cantilever microphone
  • cocaine
  • fourier transform infrared spectroscopy
  • FT-IR spectroscopy
  • hair
  • PAS
  • PCA
  • photoacoustic spectroscopy
  • principal component analysis

Cite this

Lehtinen, Jaakko ; Hirschmann, Christian ; Keiski, Riitta Liisa ; Kuusela, Tom. / Human hair in the identification of cocaine abuse with cantilever-Enhanced photoacoustic spectroscopy and principal component analysis. In: Applied Spectroscopy. 2013 ; Vol. 67, No. 8. pp. 846-850.
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abstract = "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.",
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Human hair in the identification of cocaine abuse with cantilever-Enhanced photoacoustic spectroscopy and principal component analysis. / Lehtinen, Jaakko (Corresponding Author); Hirschmann, Christian; Keiski, Riitta Liisa; Kuusela, Tom.

In: Applied Spectroscopy, Vol. 67, No. 8, 2013, p. 846-850.

Research output: Contribution to journalArticleScientificpeer-review

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T1 - Human hair in the identification of cocaine abuse with cantilever-Enhanced photoacoustic spectroscopy and principal component analysis

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AU - Kuusela, Tom

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