ArticleScientific reports2022
Detection and identification of drug traces in latent fingermarks using Raman spectroscopy.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 40 citations in OpenAlex.
- Raman imaging of molecular groups in the wavenumber silent region.Analytical and bioanalytical chemistry · 2026Review
- Application of Raman Spectroscopy Coupled With Chemometrics for the Detection and Quantification of Mancozeb Residues in Collard Green.Analytical science advances · 2025Article
- Drug classification with a spectral barcode obtained with a smartphone Raman spectrometer.Nature communications · 2023Article
- Application of TGA/c-DTA for Distinguishing between Two Forms of Naproxen in Pharmaceutical Preparations.Pharmaceutics · 2023Article
- Strategies and Progress of Raman Technologies for Cellular Uptake Analysis of the Drug Delivery Systems.International journal of nanomedicine · 2023Review
- Interpol review of fingermarks and other body impressions 2019 - 2022).Forensic science international. Synergy · 2023Review
- Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advancements in analytical techniques have greatly contributed to the analysis of latent fingermarks' (LFMs) "touch chemistry" and identification of materials that a suspect might have come into contact with. This type of information about the FM donor is valuable for criminal investigations because it narrows the pool of suspects. It is estimated that at least 30 million people around the world take over-the-counter and prescription nonsteroidal anti-inflammatory drugs (NSAIDs) for pain relief, headaches and arthritis every day. The daily use of such drugs can lead to an increased risk of their abuse. In the present study, Raman spectroscopy combined with multivariate statistical analysis was used for the detection and identification of drug traces in LFMs when NSAID tablets of aspirin, ibuprofen, diclofenac, ketoprofen and naproxen have been touched. Partial least squares discriminant analysis of Raman spectra showed an excellent separation between natural FMs and all NSAID-contaminated FMs. The developed classification model was externally validated using FMs deposited by a new donor and showed 100% accuracy on a FM level. This proof-of-concept study demonstrated the great potential of Raman spectroscopy in the chemical analysis of LFMs and the detection and identification of drug traces in particular.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.