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

R.J.H. Waddell, N. Nic Daeid, D. Littlejohn

Research output: Contribution to journalArticle

41 Citations (Scopus)

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.
LanguageEnglish
Pages235-240
Number of pages6
JournalAnalyst
Volume129
DOIs
Publication statusPublished - 2004

Fingerprint

Metal analysis
Principal component analysis
artificial neural network
Tablets
trace metal
Seizures
Metals
Neural networks
Principal Component Analysis
Cluster Analysis
principal component analysis
Trace metals
seizure
analysis

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 journalArticle

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