Abstract
This work is concerned with an investigation into the practicalities of using ICP-MS data obtained from the analysis of ecstasy tablets to provide linkage information from seizure to seizure. The generated data was analysed using different statistical techniques, namely principal component analysis, Hierarchical clustering and artificial neural networks. The relative merits of these different techniques are discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 235-240 |
| Number of pages | 6 |
| Journal | Analyst |
| Volume | 129 |
| DOIs | |
| Publication status | Published - 2004 |
Keywords
- ICP-MS
- ecstacy
- seizure
- principal component analysis
- Hierarchical clustering
Fingerprint Dive into the research topics of 'Classification of ecstasy tablets using trace metal analysis with the application of chemometric procedures and artificial neural network algorithms'. Together they form a unique fingerprint.
Impacts
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Illicit drug analysis as a tool to combat global organised crime
Niamh Nic Daeid (Participant), David Littlejohn (Participant), William Kerr (Participant), Oliver Brook Sutcliffe (Participant), Katy Savage (Participant) & W. Meier-Augenstein (Participant)
Impact: Impact - for External Portal › Quality of life and safety, Economic and commerce, Professional practice, training and standards
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