Analysis of friction ridge evidence for trace amounts of paracetamol in various pharmaceutical industries by Raman spectroscopy |
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Authors: | Martyna Czarnomska MSc Aneta Lewkowicz PhD Mattia Pierpaoli PhD Emilia Gruszczyńska MSc Magdalena Kasprzak PhD Zygmunt Gryczyński PhD Piotr Bojarski PhD Sławomir Steinborn PhD Krzysztof Woźniewski PhD |
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Affiliation: | 1. Faculty of Mathematics, Physics, and Informatics, University of Gdansk, Gdańsk, Poland;2. Department of Metrology and Optoelectronics, Faculty of Electronics, Telecommunication, and Informatics, Gdańsk University of Technology, Gdańsk, Poland;3. Faculty of Law and Administration, University of Gdansk, Gdańsk, Poland;4. Department of Physics and Astronomy, Texas Christian University, Fort Worth, Texas, USA |
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Abstract: | The detection of potentially harmful substances presents a multifaceted challenge. On one hand, it can directly save lives, on the other, it can significantly aid and enhance police work, thereby increasing the effectiveness of investigations. The research conducted in this study primarily aims to identify paracetamol in fingerprints, considering situations involving direct contact of a person with paracetamol either chronically or in a single dose. The identification procedure presented, utilizing Raman spectroscopy, aims to rapidly detect the xenobiotic following ingestion by an individual, which involves touching the tablet with their fingers—this can be termed as touch evidence in forensic science investigations. Additionally, the authors focus on assessing the impact of additives present in drugs containing paracetamol as the main active ingredient. The screening results obtained will enable us to analyze the composition of drugs in terms of potentially toxic substances, and their influence on the physicochemical activity of the active substance. We successfully identified the paracetamol molecule using a noninvasive forensic trace detection method. Samples in the form of common drugs containing 500 mg of paracetamol were studied. Throughout the study, comprehensive validation of the method was ensured through the utilization of a statistical model, which excluded sensitivity to the presence of other substances, whether additives or from the external environment. The proposed approach to trace the content of substances in fingerprint using Raman scattering analysis provides a useful starting point to enhance current analytical methods not only in forensic science but also in toxicology. |
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Keywords: | acetaminophen fingerprint friction ridge analysis paracetamol Raman spectroscopy scientific evidence |
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