MISC

2014年9月

Application of a portable near infrared spectrometer for presumptive identification of psychoactive drugs

FORENSIC SCIENCE INTERNATIONAL
  • Kenji Tsujikawa
  • ,
  • Tadashi Yamamuro
  • ,
  • Kenji Kuwayama
  • ,
  • Tatsuyuki Kanamori
  • ,
  • Yuko T. Iwata
  • ,
  • Kazuna Miyamoto
  • ,
  • Fumiyo Kasuya
  • ,
  • Hiroyuki Inoue

242
開始ページ
162
終了ページ
171
記述言語
英語
掲載種別
DOI
10.1016/j.forsciint.2014.05.020
出版者・発行元
ELSEVIER IRELAND LTD

A portable near infrared spectrometer was applied to the presumptive identification of psychotropic drugs based on library searching. Data-treatment methods (mathematical pretreatment and library search algorithm) were examined on the basis of differentiation ability. The optimized mathematical pretreatment was a standard normal variate followed by the 2nd derivative. The correlation coefficient showed the best differentiation ability in the library search algorithms. Optimized data-treatment was effective for minimizing the effect of particle size on identification. The optimized data-treatment methods were validated by the spectra of psychotropic substances (n = 120). Identification criteria for the psychotropic drugs were decided on the basis of the results of the validation. As a consequence, 8 out of 11 forensic samples containing psychoactive substances were able to be positively identified. Thus, the portable near infrared spectrometer with optimized data-treatment processing is a useful tool for rapid screening and presumptive identification of seized materials. (C) 2014 Elsevier Ireland Ltd. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.forsciint.2014.05.020
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000342054000033&DestApp=WOS_CPL
URL
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84904757497&origin=inward
ID情報
  • DOI : 10.1016/j.forsciint.2014.05.020
  • ISSN : 0379-0738
  • eISSN : 1872-6283
  • SCOPUS ID : 84904757497
  • Web of Science ID : WOS:000342054000033

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