Profiling and classification of illicit heroin by ICP-MS analysis of inorganic elements.

Nineteen inorganic elements (Ag, As, Ba, Cd, Co, Cr, Cu, Mn, Mo, Ni, P, Pb, Se, Sb, Th, Tl, U, V and Zn) in heroin samples were determined using inductive coupled plasma mass spectrometry (ICP-MS). After Wilcoxon-Mann-Whitney test and correlation analysis, 10 element contents (P, V, Cr, Ni, Cu, Zn,...

Full description

Bibliographic Details
Published in:Forensic Science International Vol. 239; pp. 37 - 44
Main Authors: Liu, Cuimei, Hua, Zhendong, Bai, Yanping, Liu, Yao
Format: Journal Article
Published: Elsevier B.V. 2014
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109667954&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 109667954
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        03790738
        3L0
      jtl: Forensic Science International
      issn: 03790738
      maglogo: N
    pubinfo:
      dt: 2014
      vid: 239
      pid: 82545
      pub: Elsevier B.V.
      place: Philadelphia, Pennsylvania
    artinfo:
      ui:
        109667954
        NLM24727352
        2012578769
        10.1016/j.forsciint.2014.02.002
        NLM24727352
        109667954
      ppf: 37
      ppct: 7
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Profiling and classification of illicit heroin by ICP-MS analysis of inorganic elements.
      aug:
        au:
          Liu, Cuimei
          Hua, Zhendong
          Bai, Yanping
          Liu, Yao
      sug:
      ab: Nineteen inorganic elements (Ag, As, Ba, Cd, Co, Cr, Cu, Mn, Mo, Ni, P, Pb, Se, Sb, Th, Tl, U, V and Zn) in heroin samples were determined using inductive coupled plasma mass spectrometry (ICP-MS). After Wilcoxon-Mann-Whitney test and correlation analysis, 10 element contents (P, V, Cr, Ni, Cu, Zn, As, Se, Pb, U) and 7 element ratios (U/Ba, Ba/Pb, Cd/Mn, Co/Ni, V/Cr, P/V, Cd/V) were found to be evidently different between heroin samples from "Golden Crescent" and "Golden Triangle". Based on the data set of these 17 variables in 150 authentic heroin samples, classification of origins was successfully achieved utilizing principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA). By comparison experiment on 907 unknown samples, the developed discriminant model was proven to be consistent with the widely used organic profiling method, and meanwhile the time consumed per sample was markedly saved, which facilitates high throughput screening in routine analysis.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N