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Research Forensic Library

A program of the Global Forensic and Justice Center at Florida International University

Evaluation and classification of fentanyl-related compounds using EC-SERS and machine learning

Posted on October 25, 2023October 25, 2023 By Jeff Teitelbaum

Travon Cooman PhD, Colby E. Ott PhD, Luis E. Arroyo PhD

Journal of Forensic Sciences; 2023

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Chemistry, Crime Scene Investigation and Reconstruction, DREs / Traffic Safety Resource Prosecutors, Forensic Pathology and Medicolegal Death Investigation, Seized Drugs/Controlled Substances, Toxicology

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Previous Post: An interlaboratory study to evaluate the utility of gas chromatography-mass spectrometry and gas chromatography-infrared spectroscopy spectral libraries in the forensic analysis of fentanyl-related substances
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