Vol. 24 No. 2 (2025): Mapana Journal of Sciences
Review Articles

Advancement in Age Estimation in Forensic Science Through Molecular Fingerprinting Techniques – A Review Paper

Ajayakumar A
National Forensic Sciences University
Kiruthiga U
National Forensic Sciences University
Bio
Arpan Datta Roy
National Forensic Sciences University
Bio

Published 2025-08-13

Keywords

  • Fingerprints,
  • molecular fingerprinting,
  • sweat compositions,
  • age estimation,
  • latent fingerprint

Abstract

Dactyloscopy has long been used for personal identification from the latent fingerprint residues; capable of providing an insight into various factors of an individual such as age, sex, habits and lifestyle. Various studies have been conducted to precisely identify the changes in sweat glands’ activity and the chemical breakdown of fingerprint residues with respect to time. However, there yet to be established a reliable method for accurately estimating or approximating the age of the fingerprint donor. The emerging field of molecular fingerprinting, which analyses latent fingerprint sweat residue and profiles the components present in it, which aid in personal identification as an individualistic marker specific to an individual. This review article highlights the advancements in estimating the age of the fingerprint donor from the latent fingerprint residue and addresses the technical and technological research gaps in the molecular fingerprinting technique’s timeline as this method hold a potential in aiding the forensic investigation and criminal profiling from the fingerprints retrieved from the scene of crime.

References

  1. G.M. Mong, C.E. Petersen, T.R.W. Clauss, Advanced Fingerprint Analysis Project
  2. Final Report – Fingerprint Constituents. Pacific Northwest National Laboratory (1999).
  3. Gungadin S. Sex Determination from Fingerprint Ridge Density. Internet Journal of Medical Update 2007 Jul-Dec;2(2):4-7.
  4. Journal of Applied Physics 116, 183102 (2014); doi: 10.1063/1.4901332
  5. Cadd, S., Islam, M., Manson, P., & Bleay, S. (2015). Fingerprint composition and aging: A literature review. Science & Justice, 55(4), 219-238.
  6. Faria, A. G., Marson, F. A. L., Ribeiro, A. F., & Ribeiro, J. D. (2017). The correlation between age and sweat chloride levels in sweat tests. Revista portuguesa de pneumologia, 23(4), 227-230.
  7. Sánchez-Andrés, A., Barea, J. A., Rivaldería, N., Alonso-Rodríguez, C., & Gutiérrez-Redomero, E. (2018). Impact of aging on fingerprint ridge density: Anthropometry and forensic implications in sex inference. Science & justice, 58(5), 323-334.
  8. Hladek, M. D., Szanton, S. L., Cho, Y. E., Lai, C., Sacko, C., Roberts, L., & Gill, J. (2018). Using sweat to measure cytokines in older adults compared to younger adults: A pilot study. Journal of immunological methods, 454, 1-5.
  9. Czech, A., Szabelak, A., & Sowiński, A. (2019). Changes in fingerprints depending on physiological factors. Journal of forensic sciences, 64(3), 711-716.
  10. Vaishali, Govindrajulu Rajesh Babu/Molecular Fingerprinting a new technique for Personal Identification: An Update/Indian J. ForensicMedPathol. 2021;14(1):59-66.
  11. Khare, V., & Singla, A. (2022). A review on the advancements in chemical examination of composition of latent fingerprint residues. Egyptian Journal of Forensic Sciences, 12(1), 6.
  12. Prommy Sultana Hossain, Emanuela Marasco. Capturing Sweat Essence: Exploring Techniques for Collection and Metabolite Applications. TechRxiv. September 06, 2024.
  13. Kiruthiga U, Govindarajalu Rajesh Babu, Photoluminescence Spectroscopy for Estimating the Age of the Latent Fingerprints: A New Potential Approach , Mapana Journal of Sciences: Vol. 23 No. 2 (2024): Mapana Journal of Sciences
  14. Kanitakis, J. (2002). Anatomy, histology and immunohistochemistry of normal human skin. European Journal of Dermatology, 12(4), 390–401.
  15. Sudha, S. I. (2013). Biometrics & fingerprint analysis (1st ed.). Selective & scientific books