Classification of ecstasy tablets using trace metal analysis with the application of chemometric procedures and artificial neural network algorithms

Waddell, R.J.H. and Nic Daeid, N. and Littlejohn, D. (2004) Classification of ecstasy tablets using trace metal analysis with the application of chemometric procedures and artificial neural network algorithms. Analyst, 129. pp. 235-240. ISSN 0003-2654 (https://doi.org/10.1039/b312336g)

Full text not available in this repository.Request a copy

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.

ORCID iDs

Waddell, R.J.H., Nic Daeid, N. and Littlejohn, D. ORCID logoORCID: https://orcid.org/0000-0002-1555-9427;