Vol. 23 No. 2 (2024): Mapana Journal of Sciences
Research Articles

Photoluminescence Spectroscopy for Estimating the Age of the Latent Fingerprints: A New Potential Approach

PDF
  • Kiruthiga U,
  • Govindarajalu Rajesh Babu
Kiruthiga U
National Forensic Sciences University
Govindarajalu Rajesh Babu
Associate Professor, National Forensic Sciences University
DOI: https://doi.org/10.12723/mjs.69.5

Published 2024-07-15

Keywords

  • Photoluminescence Spectrometry,
  • UV-Vis Spectrometry,
  • latent fingerprints,
  • Age estimation,
  • Dactylography,
  • Spectrofluorimetry
    • ...More
    Less

Copyright (c) 2024

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Abstract

This study examined variations in spectral absorption and emission intensity of latent fingerprints over time, employing UV-Vis spectroscopy and photoluminescence spectroscopy. There was noticeable absorption at 296nm on the samples, and the fluorescence emission intensity showed variations.  A total of 1600 samples from various categories were analyzed to validate this hypothesis. The emission intensity observed under photoluminescence spectroscopy varied over time, showing greater intensities in controlled female and male samples compared to the uncontrolled samples that were exposed to environmental conditions. The emission intensity of the controlled female (CF) sample was the highest at 6341168 CPS, followed by the controlled male (CM) sample at 1270240 CPS. On the other hand, the uncontrolled female (UF) sample exhibited an emission intensity of 5431940 CPS, while the uncontrolled male (UM) sample had an intensity of 100764 CPS.  This emission intensity variation proved to be an efficient age profiling marker for the latent fingerprints.

PDF

References

  1. R.S. Croxton, M.G. Baron, D. Butler, T. Kent, & V. G. Sears, “Variation in amino acid and lipid composition of latent fingerprints,” Forensic Science International, 199(1-3), 93-102., 2010.
  2. K. Rajesh, & P. P. Kumar, “Structural, Linear, and Nonlinear Optical and Mechanical Properties of New Organic L‐Serine Crystal”. Journal of Materials, 2014(1), 790957.
  3. S. Dimitrijević, M. Rajčić-Vujasinović, S. Alagić, V. Grekulović, & V. Trujić, V. “Formulation and characterization of electrolyte for decorative gold plating based on mercaptotriazole,” Electrochimica acta, 104, 330-336, 2013.
  4. A. Wojciechowski, K. Ozga, A.H. Reshak, R. Miedzinski, I. V. Kityk, J. Berdowski, & Z. Tylczyński, “Photoinduced effects in l-alanine crystals,” Materials Letters, 64(18), 1957-1959, 2010.
  5. X. Pang, H. Zeng, J. Liu, S. Wei, & Y. Zheng, “The properties of nanohydroxyapatite materials and its biological effects,” Materials Sciences and Applications, 1(02), 81, 2010.
  6. H.S. Gill, “Evaluating the efficacy of tryptophan fluorescence and absorbance as a selection tool for identifying protein crystals,” Acta Crystallographica Section F: Structural Biology and Crystallization Communications, 66(3), 364-372, 2010.
  7. S. Cadd, B. Li, P, Beveridge, O'Hare, T.W, & M. Islam, “Age determination of blood-stained fingerprints using visible wavelength reflectance hyperspectral imaging,” Journal of Imaging, 4(12), 141. https://doi.org/10.3390/jimaging4120141, 2018.
  8. K Antoine,. M., S. Mortazavi, A D Miller, & L.M.Miller, “Chemical differences are observed in children’s versus adults’ latent fingerprints as a function of time,” Journal of Forensic Sciences, 55(2), 513-518. https://doi.org/10.1111/j.1556-4029.2009.01262.x, 2010.
  9. G. J. Edelman, E. Gaston, T.G.Van Leeuwen, P.J.Cullen, & M.C.G. Aalders, “Hyperspectral imaging for non-contact analysis of forensic traces,” Forensic science international, 223(1-3), 28-39. https://doi.org/10.1016/j.forsciint.2012.09.012 , 2012.
  10. R. Merkel, J. Dittmann, & C. Vielhauer, C. “A first public research collection of high-resolution latent fingerprint time series for short-and long-term print age estimation,” IEEE transactions on information forensics and security, 12(10), 2276-2291. https://doi.org/10.1109/TIFS.2017.2705622, 2017.
  11. J. Galbally, R. Haraksim, & L. Beslay, L. “A study of age and ageing in fingerprint biometrics,” IEEE Transactions on Information Forensics and Security, 14(5), 1351-1365. https://doi.org/10.1109/TIFS.2018.2878160, 2018.
  12. R. Merkel, M.Hildebrandt, & J. Dittmann, “Application of stirtrace benchmarking for the evaluation of latent fingerprint age estimation robustness’ In 3rd International Workshop on Biometrics and Forensics (IWBF 2015) (pp. 1-6). IEEE. https://doi.org/10.1109/IWBF.2015.7110221, March 2015.
  13. P. Hinners, M. Thomas, & Y. J. Lee, “Determining fingerprint age with mass spectrometry imaging via ozonolysis of triacylglycerols” Analytical chemistry, 92(4), 3125-3132. https://doi.org/10.1021/acs.analchem.9b04765, 2020.
  14. S. Cadd, M. Islam, P. Manson, & S. Bleay, “Fingerprint composition and aging: a literature review,” Science & Justice, 55(4), 219-238. https://doi.org/10.1016/j.scijus.2015.02.004, 2015.
  15. R. Merkel, S. Gruhn, J. Dittmann, C. Vielhauer, & A. Bräutigam, “On non-invasive 2D and 3D Chromatic White Light image sensors for age determination of latent fingerprints” Forensic Science International, 222(1-3), 52-70. https://doi.org/10.1016/j.forsciint.2012.05.001, 2012.