Optimisation of the separation of amphetamine-type stimulants using artificial neural networks for applications on lab-on-a-chip technology
✍ Scribed by A. Van Gramberg; A. Beavis; P. Doble; S. Mileham
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 58 KB
- Volume
- 50
- Category
- Article
- ISSN
- 1355-0306
No coin nor oath required. For personal study only.
✦ Synopsis
was created in order to develop statistical models for predicting the membership of a specimen to a relevant source. Furthermore, the conservation of the carbon isotope ratio between a precursor and its GHB end-product will be evaluated as well. This aspect is of major importance and could be extended to precursors profiling on an international level to develop refined geographical strategies to control them. GHB, GBL, and 1,4-BD samples were obtained from different police departments in Switzerland, from internet retailers of various countries and several regular chemicals suppliers. Significant differences in the carbon isotopic ratio (δ 13 C-values ranging from -23.1‰ to -46‰) were found between all GBL samples. Accordingly, this method demonstrates a high potential to distinguish between GBL, GHB, or 1,4-BD samples of various sources.