Abstract
| Language | English |
|---|---|
| Pages | 235-240 |
| Number of pages | 6 |
| Journal | Analyst |
| Volume | 129 |
| DOIs | |
| Publication status | Published - 2004 |
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Keywords
- ICP-MS
- ecstacy
- seizure
- principal component analysis
- Hierarchical clustering
Cite this
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Classification of ecstasy tablets using trace metal analysis with the application of chemometric procedures and artificial neural network algorithms. / Waddell, R.J.H.; Nic Daeid, N.; Littlejohn, D.
In: Analyst, Vol. 129, 2004, p. 235-240.Research output: Contribution to journal › Article
TY - JOUR
T1 - Classification of ecstasy tablets using trace metal analysis with the application of chemometric procedures and artificial neural network algorithms
AU - Waddell, R.J.H.
AU - Nic Daeid, N.
AU - Littlejohn, D.
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
KW - ICP-MS
KW - ecstacy
KW - seizure
KW - principal component analysis
KW - Hierarchical clustering
U2 - 10.1039/b312336g
DO - 10.1039/b312336g
M3 - Article
VL - 129
SP - 235
EP - 240
JO - Analyst
T2 - Analyst
JF - Analyst
SN - 0003-2654
ER -