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Multivariate Analysis Aided Surface-Enhanced Raman Spectroscopy (MVA-SERS) Multiplex Quantitative Detection of Trace Fentanyl in Illicit Drug Mixtures Using a Handheld Raman Spectrometer

NCJ Number
301923
Journal
Applied Spectroscopy Volume: Online Dated: July 2021
Date Published
July 2021
Author(s)
Ling Wang ; Mario O. Vendrell-Dones; Chiara Deriu; Sevde Dogruer; Peter de B. Harrington; Bruce McCord
Agencies
NIJ-Sponsored
Annotation

This study involved the quantitative determination of fentanyl in heroin and cocaine using SERS, using a point-and-shoot handheld Raman system.

Abstract

Recently there has been upsurge in reports that illicit seizures of cocaine and heroin have been adulterated with fentanyl. Surface-enhanced Raman spectroscopy (SERS) provides a useful alternative to current screening procedures that permits detection of trace levels of fentanyl in mixtures. Samples are solubilized and allowed to interact with aggregated colloidal nanostars to produce a rapid and sensitive assay. The protocol of the current study was optimized to detect pure fentanyl down to 0.20 ± 0.06 ng/mL and also distinguish pure cocaine and heroin at ng/mL levels. Multiplex analysis of mixtures was enabled by combining SERS detection with principal component analysis and super partial least squares regression discriminate analysis (SPLS-DA), which enables the determination of fentanyl as low as 0.05 percent in simulated seized heroin and 0.10 percent in simulated seized cocaine samples. (publisher abstract modified)

Date Created: August 24, 2021

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