This work introduces a rapid and effective technique for the discrimination of smears of coloured wax based products (such as lipstick and shoe polish) on fabrics. Forty two samples of commonly available wax based products were analysed. The analytical techniques used were a combination of thin layer chromatography (TLC) and direct microspectrophotometry (MSP) of the subsequent TLC plate. The resultant data was analysed using Self Organising Feature Mapping, an Artificial Neural Network system. The combination of both 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.
|Journal||Journal of Forensic Identification|
|Publication status||Published - 2011|
- wax based products
- thin layer chromatography
- microspectrophotometric detection
- forensic science