Determining time since deposition of latent fingerprints on forensic adhesive tape using ultrafast DESI-MS and machine learning.

Journal: Scientific reports
Published Date:

Abstract

Fingerprints provide indisputable forensic evidence for establishing identity. Latent fingerprints, often visualized with black magnetic powder and recovered with adhesive tape, can be matched to police databases for identification. However, determining the time since deposition (TSD) is crucial to temporally tie the fingerprints to the crime. Despite extensive efforts, no reliable method exists for determining TSD. This study presents a workflow for directly dating fingerprints using ultrafast 2-dimensional desorption electrospray ionization mass spectrometry (DESI-MS). The fingerprints are analyzed directly from a forensic tape after development with magnetic powder. This method aims to enable dating of fingerprints collected from virtually any non-porous surface. The study involved 744 fingerprints from 330 volunteers, aged up to 15 days under various conditions. Data analysis using the XGBoost and SMOTE algorithms achieved a correlation of 0.54 (p-value < 1e) between TSD prediction and true TSD, achieving 83.3% accuracy in distinguishing between 0-4 days and 10-15 days old prints. Key imaging parameters, such as DESI-MS scan rate, mass range, scan area, spatial resolution, and imaging mode, were optimized to enhance age determination precision and support rapid processing within forensic workflows. This research, conducted in collaboration between police forensic units and an academic institution, integrates seamlessly into practical forensic applications.

Authors

  • Nora Rajs
    Latent Fingerprint Laboratory, Division of Identification and Forensic Science (DIFS), Israel Police, Jerusalem, 9780204, Israel.
  • Yinon Harush-Brosh
    R&D department, Division of Identification and Forensic Science (DIFS), Israel Police, National H.Q., Jerusalem, 9780204, Israel.
  • Ron Raisch
    R&D department, Division of Identification and Forensic Science (DIFS), Israel Police, National H.Q., Jerusalem, 9780204, Israel.
  • Ravit Yakobi Arancibia
    The Institute for Drug Research, School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 9112192, Israel.
  • Amani Zoabi
    The Institute for Drug Research, School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 9112192, Israel.
  • Guy Nevet Golan
    R&D department, Division of Identification and Forensic Science (DIFS), Israel Police, National H.Q., Jerusalem, 9780204, Israel.
  • Moshe Shpitzen
    R&D department, Division of Identification and Forensic Science (DIFS), Israel Police, National H.Q., Jerusalem, 9780204, Israel.
  • Sarena Wiesner
    Latent Fingerprint Laboratory, Division of Identification and Forensic Science (DIFS), Israel Police, Jerusalem, 9780204, Israel.
  • Michal Levin-Elad
    Division of Identification and Forensic Science (DIFS), Department of National Forensic Investigations, National H.Q. Jerusalem, Jerusalem, 9780204, Israel.
  • Tommy Kaplan
    School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.
  • Katherine Margulis
    Department of Chemistry , Stanford University , Stanford , California 94305 , United States.

Keywords

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