Comparison of smears of wax-based products using thin-layer chromatography and microspectrophotometric detection

D. Ismail, N. Nic Daeid (Lead / Corresponding author)

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This work introduces a rapid and effective technique for the discrimination of smears of colored wax-based products (e.g., lipstick and shoe polish) on fabrics. Forty-two samples of commonly available wax-based products were analyzed. The analytical technique used was a combination of thin-layer chromatography (TLC) and direct microspectrophotometry (MSP) of the subsequent TLC plate. The resultant data was analyzed using self-organizing feature mapping (SOFM), an artificial neural network system. The combination of TLC and MSP facilitated the discrimination of all samples, and the SOFM system provided an easy-to-understand visual representation of the sample discrimination by type.
Original languageEnglish
Pages (from-to)136-146
Number of pages11
JournalJournal of Forensic Identification
Volume61
Issue number2
Publication statusPublished - Mar 2011

Fingerprint Dive into the research topics of 'Comparison of smears of wax-based products using thin-layer chromatography and microspectrophotometric detection'. Together they form a unique fingerprint.

  • Cite this