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

TY - JOUR

T1 - Comparison of smears of wax-based products using thin-layer chromatography and microspectrophotometric detection

AU - Ismail, D.

AU - Nic Daeid, N.

PY - 2011/3

Y1 - 2011/3

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/79957854954

M3 - Article

AN - SCOPUS:79957854954

SN - 0895-173X

VL - 61

SP - 136

EP - 146

JO - Journal of Forensic Identification

JF - Journal of Forensic Identification

IS - 2

ER -