| Title |
Rapid characterization of cocaine in illicit drug samples by 1D and 2D NMR spectroscopy
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, June 2018
|
| DOI | 10.1007/s00216-018-1175-7 |
| Pubmed ID | |
| Authors |
Mehdi Yemloul, I. Made Adyatmika, Stefano Caldarelli, Denis Ollivier, Mylène Campredon |
| Abstract |
Seized samples of illegally produced cocaine have a very large variability in composition; a fact that may result in a challenge to their analysis. We demonstrate here a simple and fast method to detect the presence of cocaine in both hydrochloride and free-base forms in illicit drug samples by nuclear magnetic resonance (NMR) spectroscopy. This is achieved by combining the commonly used 1D spectra and diffusion-ordered spectroscopy and introducing the 2D maximum-quantum NMR approach to forensic analysis. The protocol allows the facile determination of the cocaine forms even in the presence of multiple adulterants. By relying on non-uniform sampling acceleration of 2D spectroscopy, the identification can be obtained in less than 3 min for 10 mg of product. Moreover, we show that intermolecular interactions of the sample constituents, while affecting the analysis result, do not interfere with the quality of the detection of the proposed protocol. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 13% |
| Student > Bachelor | 4 | 13% |
| Researcher | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Other | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 10 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 12 | 40% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Social Sciences | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 11 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 July 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,602
of 9,619 outputs
Outputs of similar age
#266,009
of 341,509 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#109
of 180 outputs
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