International Journal of Medical Toxicology & Legal Medicine
  • Year: 2021
  • Volume: 24
  • Issue: 1and2

Comprehensive dermatoglyphics study on ridge dimensions, pore size and assessment of the sweat composition among the industrial workers

1Student, School of Forensic Sciences, National Forensic Sciences University, Gandhinagar, Gujarat

2Research Scholar, School of Doctoral Studies and Research, National Forensic Sciences University, Gandhinagar, Gujarat

3Associate Professor, School of Forensic Sciences, National Forensic Sciences University, Gandhinagar, Gujarat

*Corresponding Author: Dr. G. Rajesh Babu, Associate Professor, School of Forensic Sciences, National Forensic Sciences University, Gandhinagar, Gujarat, Email: rajesh.babu@nfsu.ac.in

Online Published on 22 December, 2021.

Abstract

Every individual has unique fingerprints. Ridge morphology and morphometry are anatomical ridge individualization used in identification of victim or criminal in forensic science. The ridges have pores along their entire length that oozes perspiration. The perspiration contains different components dependupon the environment, occupation, food intake and habits. The study of sweat composition can narrow down the search for an individual. This unique approach focuses on analyzing the fingerprints of individuals. This can further help in finding the identity of a person. The study was conducted on 40 samples taken from the people working in the pigment industry and normal population.Two-paired Ttest were used to see the pore size and ridge width differences in the Pigment industry workers and normal population. Microscopic analysis shows a significant increase in the dimensions of pore size and ridge width of the pigment industrial workers was morethan normal individuals due to the muscular activities. In FTIR analysis, molecules like N=O=C, C-N and C-X are present in the sweat samples of the pigment industry workers which are also present in the dye and absent in the sweat samples of the normal individual. Therefore, we can potentially identify individuals based on their occupation.

Keywords

Fingerprints, Ridge Analysis, Morphometric Analysis, Personal identification