On-site illicit-drug detection with an integrated near-infrared spectral sensor A proof of concept

Open Access
Authors
  • R. de Ridder
  • A. van Klinken
  • K.D. Hakkel
  • D.M.J. van Elst
  • R. van Veldhoven
  • F. Pagliano
  • A.C. van Asten
  • A. Fiore
Publication date 01-08-2022
Journal Talanta
Article number 123441
Volume | Issue number 245
Number of pages 8
Organisations
  • Faculty of Science (FNWI) - Van 't Hoff Institute for Molecular Sciences (HIMS)
Abstract
Illicit-drug production, trafficking and seizures are on an all-time high. This consequently raises pressure on investigative authorities to provide rapid forensic results to assist law enforcement and legal processes in drug-related cases. Ideally, every police officer is equipped with a detector to reliably perform drug testing directly at the incident scene. Such a detector should preferably be small, portable, inexpensive and shock-resistant but should also provide sufficient selectivity to prevent erroneous identifications. This study explores the concept of on-site drugs-of-abuse detection using a 1.8 × 2.2 mm2 multipixel near-infrared (NIR) spectral sensor that potentially can be integrated into a smartphone. This integrated sensor, based on an InGaAs-on-silicon technology, exploits an array of resonant-cavity enhanced photodetectors without any moving parts. A 100% correct classification of 11 common illicit drugs, pharmaceuticals and adulterants was achieved by chemometric modelling of the response of 15 wavelength-specific pixels. The performance on actual forensic casework was investigated on 246 cocaine-suspected powders and 39 MDMA-suspected ecstasy tablets yielding an over 90% correct classification in both cases. These findings show that presumptive drug testing by miniaturized spectral sensors is a promising development ultimately paving the way for a fully integrated drug-sensor in mobile communication devices used by law enforcement.
Document type Article
Language English
Published at https://doi.org/10.1016/j.talanta.2022.123441
Other links https://www.scopus.com/pages/publications/85127700063
Downloads
On-site illicit-drug detection (Final published version)
Supplementary materials
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