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,...
| Published in: | Forensic Science International Vol. 239; pp. 37 - 44 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Published: |
Elsevier B.V.
2014
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| 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 |
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