Literature DB >> 17209916

Quantification of the amphetamine content in seized street samples by Raman spectroscopy.

Erja Katainen1, Matti Elomaa, Ulla-Maija Laakkonen, Erkki Sippola, Pentti Niemelä, Janne Suhonen, Kristiina Järvinen.   

Abstract

A Raman spectroscopy method for determining the drug content of street samples of amphetamine was developed by dissolving samples in an acidic solution containing an internal standard (sodium dihydrogen phosphate). The Raman spectra of the samples were measured with a CDD-Raman spectrometer. Two Raman quantification methods were used: (1) relative peak heights of characteristic signals of the amphetamine and the internal standard; and (2) multivariate calibration by partial least squares (PLS) based on second derivative of the spectra. For the determination of the peak height ratio, the spectra were baseline corrected and the peak height ratio (h(amphetamine at 994 cm(-1) )/h(internal standard at 880 cm(-1) )) was calculated. For the PLS analysis, the wave number interval of 1300-630 cm(-1) (348 data points) was chosen. No manual baseline correction was performed, but the spectra were differentiated twice to obtain their second derivatives, which were further analyzed. The Raman results were well in line with validated reference LC results when the Raman samples were analyzed within 2 h after dissolution. The present results clearly show that Raman spectroscopy is a good tool for rapid (acquisition time 1 min) and accurate quantitative analysis of street samples that contain illicit drugs and unknown adulterants and impurities.

Entities:  

Year:  2007        PMID: 17209916     DOI: 10.1111/j.1556-4029.2006.00306.x

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  6 in total

Review 1.  The interface between forensic science and technology: how technology could cause a paradigm shift in the role of forensic institutes in the criminal justice system.

Authors:  Ate Kloosterman; Anna Mapes; Zeno Geradts; Erwin van Eijk; Carola Koper; Jorrit van den Berg; Saskia Verheij; Marcel van der Steen; Arian van Asten
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-08-05       Impact factor: 6.237

2.  Arcobacter Identification and Species Determination Using Raman Spectroscopy Combined with Neural Networks.

Authors:  Kaidi Wang; Lei Chen; Xiangyun Ma; Lina Ma; Keng C Chou; Yankai Cao; Izhar U H Khan; Greta Gölz; Xiaonan Lu
Journal:  Appl Environ Microbiol       Date:  2020-10-01       Impact factor: 4.792

3.  Vibrational spectroscopy of muscular tissue intoxicated by snake venom and exposed to photobiomodulation therapy.

Authors:  Willians Fernando Vieira; Bruno Kenzo-Kagawa; Maria Helena Mesquita Britto; Helder José Ceragioli; Kumiko Koibuchi Sakane; Vitor Baranauskas; Maria Alice da Cruz-Höfling
Journal:  Lasers Med Sci       Date:  2017-11-28       Impact factor: 3.161

4.  Keratin-water-NMF interaction as a three layer model in the human stratum corneum using in vivo confocal Raman microscopy.

Authors:  ChunSik Choe; Johannes Schleusener; Jürgen Lademann; Maxim E Darvin
Journal:  Sci Rep       Date:  2017-11-21       Impact factor: 4.379

5.  Raman spectroscopy and artificial intelligence to predict the Bayesian probability of breast cancer.

Authors:  Ragini Kothari; Veronica Jones; Dominique Mena; Viviana Bermúdez Reyes; Youkang Shon; Jennifer P Smith; Daniel Schmolze; Philip D Cha; Lily Lai; Yuman Fong; Michael C Storrie-Lombardi
Journal:  Sci Rep       Date:  2021-03-22       Impact factor: 4.379

6.  Performance evaluation of handheld Raman spectroscopy for cocaine detection in forensic case samples.

Authors:  Ruben F Kranenburg; Joshka Verduin; Renee de Ridder; Yannick Weesepoel; Martin Alewijn; Marcel Heerschop; Peter H J Keizers; Annette van Esch; Arian C van Asten
Journal:  Drug Test Anal       Date:  2021-01-07       Impact factor: 3.345

  6 in total

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