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

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<sup>-5</sup>) 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.

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Publication Details

Journal
Scientific Reports
Published
2025-05-26
DOI
https://doi.org/10.1038/s41598-025-02639-y
Citations
5
Primary Topic
Forensic Fingerprint Detection Methods
Type
article
Field-Weighted Citation Impact
11.83

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article

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

Sarena Wiesner, Nora Rajs, Tommy Kaplan, G. Golan et al.
5 citations
Scientific Reports
Forensic Fingerprint Detection Methods
11.83
article

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

Sarena Wiesner, Nora Rajs, Tommy Kaplan, G. Golan, Rodrigo Arancibia, Yinon Harush‐Brosh, Michal Levin‐Elad, Amani Zoabi, Katherine Margulis, Ron Raisch, Moshe Shpitzen
article en
5 citations

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<sup>-5</sup>) 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.

Scientific ReportsVol. 15(1)
Hebrew University of Jerusalem (IL), Hadassah Medical Center (IL), National Library of Israel (IL), Ministry of Social Affairs and Social Services (IL), Weizmann Institute of Science (IL)
Israel Cancer Research Fund, United States - Israel Binational Science Foundation, Wolfson Foundation, United States-Israel Binational Science Foundation, Hebrew University of Jerusalem, Israel Cancer Association, Israel Science Foundation, Ministry of Science and Technology, Israel, National Institute for Psychobiology in Israel, Hebrew University of Jerusalem, David R. Bloom Center for Pharmacy, Hebrew University of Jerusalem
Gender equality
Openalex Percentile: Top 2%
Forensic Fingerprint Detection Methods
11.83
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