Issue 4, 2008
From the journal:

Analyst

A novel method for human gender classification using Raman spectroscopy of fingernail clippings

Effendi Widjaja,*a   Geok Hong Lima  and  An Ana  

* Corresponding authors

a Institute of Chemical and Engineering Sciences, Agency for Science, Technology and Research (A*STAR), 1 Pesek Rd, Jurong Island, Singapore
E-mail: effendi_widjaja@ices.a-star.edu.sg
Fax: +65 6316 6185
Tel: +65 6796 3943

Abstract

This paper illustrates a novel method for human gender classification by measuring the Raman spectrum of fingernail clippings. As Raman spectroscopy reveals the characteristics of vibrational frequencies of the fingernails, it provides unique chemical fingerprints that can be used to describe the molecular structure differences of fingernail between males and females. As the differences of Raman spectra of human fingernails are very subtle, they are enhanced by using a pattern recognition method. In the present study, a combination algorithm of principal component analysis (PCA) and support vector machines (SVM) was implemented to perform the data classification. This combined algorithm provides a classification accuracy of up to 90%. The success of this present method may be used as an alternative rapid tool to identify human gender in forensic applications.

Graphical abstract: A novel method for human gender classification using Raman spectroscopy of fingernail clippings

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Article information

DOI
https://doi.org/10.1039/B712389B
Article type
Paper
Submitted
13 Aug 2007
Accepted
08 Jan 2008
First published
12 Feb 2008

Analyst, 2008,133, 493-498

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A novel method for human gender classification using Raman spectroscopy of fingernail clippings

E. Widjaja, G. H. Lim and A. An, Analyst, 2008, 133, 493 DOI: 10.1039/B712389B

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