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Isotopomics by isotope ratio monitoring by 13 C nuclear magnetic resonance spectrometry on cutting agents in heroin: A new approach for illicit drugs trafficking route elucidation.

Authors :
Joubert V
Trébuchet M
Mikic M
Silvestre V
Schiphorst AM
Loquet D
Stemmelen A
Ladroue V
Besacier F
Akoka S
Remaud GS
Source :
Drug testing and analysis [Drug Test Anal] 2020 Apr; Vol. 12 (4), pp. 449-457. Date of Electronic Publication: 2020 Jan 11.
Publication Year :
2020

Abstract

In the battle against the illicit drugs market, methodologies have been developed by forensic laboratories to address the determination of the origin and dismantlement of the trafficking route for various target molecules such as heroin and cocaine. These drug profiling methods are not straightforward, especially when the target molecules are synthetic and very pure, resulting in poorly informative impurity profiles, e.g. new psychoactive substances and cutting agents. A tool based on the determination of intramolecular isotopic profiles has been developed to provide origin discrimination with a new way to profile seized cutting agents and heroin samples. Whereas stable isotope analyses by mass spectrometry give the bulk isotopic composition, nuclear magnetic resonance gives direct access to the position-specific isotope content at natural abundance. This report shows how both <superscript>13</superscript> C NMR spectrometry and <superscript>13</superscript> C, <superscript>15</superscript> N MS might provide complementary and valuable information to link seized caffeine and paracetamol to their origin. Here, isotopic ratio monitoring by <superscript>13</superscript> C NMR (irm- <superscript>13</superscript> C NMR) offers additional benefits over irm-MS in its capability to determine a detailed isotopic profile, leading to a better method to distinguish different caffeine and paracetamol batches.<br /> (© 2019 John Wiley & Sons, Ltd.)

Details

Language :
English
ISSN :
1942-7611
Volume :
12
Issue :
4
Database :
MEDLINE
Journal :
Drug testing and analysis
Publication Type :
Academic Journal
Accession number :
31828934
Full Text :
https://doi.org/10.1002/dta.2745