Comparison of smears of wax based products using thin layer chromatography (TLC) and microspectrophotometric (MSP) detection

Niamh Nic Daeid; Ismail Dzukiflee; Fakulti Sains Kesihatan, Jabatan Sains Forensik, Universiti Sains Malaysia (USM), 16150, Malaysia.

Comparison of smears of wax based products using thin layer chromatography (TLC) and microspectrophotometric (MSP) detection

Niamh Nic Daeid, Ismail Dzukiflee, Fakulti Sains Kesihatan, Jabatan Sains Forensik, Universiti Sains Malaysia (USM), 16150, Malaysia.

Pure And Applied Chemistry

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Journal	Journal of Forensic Identification
Publication status	Published - 2011

Keywords

wax based products
thin layer chromatography
microspectrophotometric detection
forensic science

Cite this

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title = "Comparison of smears of wax based products using thin layer chromatography (TLC) and microspectrophotometric (MSP) detection",

abstract = "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.",

keywords = "wax based products, thin layer chromatography, microspectrophotometric detection, forensic science",

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year = "2011",

language = "English",

journal = "Journal of Forensic Identification",

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publisher = "International Association for Identification",

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Comparison of smears of wax based products using thin layer chromatography (TLC) and microspectrophotometric (MSP) detection. / Nic Daeid, Niamh; Dzukiflee, Ismail; Fakulti Sains Kesihatan, Jabatan Sains Forensik, Universiti Sains Malaysia (USM), 16150, Malaysia.
In: Journal of Forensic Identification, 2011.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Comparison of smears of wax based products using thin layer chromatography (TLC) and microspectrophotometric (MSP) detection

AU - Nic Daeid, Niamh

AU - Dzukiflee, Ismail

AU - Fakulti Sains Kesihatan, Jabatan Sains Forensik, Universiti Sains Malaysia (USM), 16150, Malaysia.

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - wax based products

KW - thin layer chromatography

KW - microspectrophotometric detection

KW - forensic science

UR - http://www.theiai.org

M3 - Article

SN - 0895-173X

JO - Journal of Forensic Identification

JF - Journal of Forensic Identification

ER -

Comparison of smears of wax based products using thin layer chromatography (TLC) and microspectrophotometric (MSP) detection

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Keywords

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