Literature DB >> 28915346

A review of chemical 'spot' tests: A presumptive illicit drug identification technique.

Morgan Philp1, Shanlin Fu1.   

Abstract

Chemical 'spot' tests are a presumptive illicit drug identification technique commonly used by law enforcement, border security personnel, and forensic laboratories. The simplicity, low cost, and rapid results afforded by these tests make them particularly attractive for presumptive identification globally. In this paper, we review the development of these long-established methods and discuss color test recommendations and guidelines. A search of the scientific literature revealed the chemical reactions occurring in many color tests are either not actively investigated or reported as unknown. Today, color tests face many challenges, from the appearance of new psychoactive substances to concerns regarding selectivity, sensitivity, and safety. Advances in technology have seen color test reagents used in digital image color analysis, solid sensors, and microfluidic devices for illicit drug detection. This summarizes current research and suggests the future of presumptive color testing.
Copyright © 2017 John Wiley & Sons, Ltd.

Keywords:  color spot test; illicit drugs; new psychoactive substances; presumptive identification; seized material

Mesh:

Substances:

Year:  2017        PMID: 28915346     DOI: 10.1002/dta.2300

Source DB:  PubMed          Journal:  Drug Test Anal        ISSN: 1942-7603            Impact factor:   3.345


  11 in total

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Authors:  Nicole S Jones; Jeffrey H Comparin
Journal:  Forensic Sci Int Synerg       Date:  2020-05-24

2.  Evaluation of a lateral flow immunoassay for the detection of the synthetic opioid fentanyl.

Authors:  Daniel J Angelini; Tracey D Biggs; Michele N Maughan; Michael G Feasel; Edward Sisco; Jennifer W Sekowski
Journal:  Forensic Sci Int       Date:  2019-04-26       Impact factor: 2.395

3.  Spot tests: past and present.

Authors:  María Teresa Doménech-Carbó; Antonio Doménech-Carbó
Journal:  ChemTexts       Date:  2021-12-27

Review 4.  Photoluminescent carbon nanomaterials for sensing of illicit drugs: focus.

Authors:  Shihchun Wei; Hsinhua Liang; Yijia Li; Yaote Yen; Yihui Lin; Huantsung Chang
Journal:  Anal Sci       Date:  2022-03-22       Impact factor: 1.967

5.  Cyclic Olefin Copolymer Microfluidic Devices for Forensic Applications.

Authors:  Brigitte Bruijns; Andrea Veciana; Roald Tiggelaar; Han Gardeniers
Journal:  Biosensors (Basel)       Date:  2019-07-04

6.  Rapid and robust on-scene detection of cocaine in street samples using a handheld near-infrared spectrometer and machine learning algorithms.

Authors:  Ruben F Kranenburg; Joshka Verduin; Yannick Weesepoel; Martin Alewijn; Marcel Heerschop; Ger Koomen; Peter Keizers; Frank Bakker; Fionn Wallace; Annette van Esch; Annemieke Hulsbergen; Arian C van Asten
Journal:  Drug Test Anal       Date:  2020-07-27       Impact factor: 3.345

7.  A Colorimetric Membrane-Based Sensor with Improved Selectivity towards Amphetamine.

Authors:  Neus Jornet-Martínez; Pilar Campíns-Falcó; Rosa Herráez-Hernández
Journal:  Molecules       Date:  2021-11-05       Impact factor: 4.411

8.  Combining Electrochemiluminescence Detection with Aptamer-Gated Indicator Releasing Mesoporous Nanoparticles Enables ppt Sensitivity for Strip-Based Rapid Tests.

Authors:  Estela Climent; Knut Rurack
Journal:  Angew Chem Int Ed Engl       Date:  2021-11-09       Impact factor: 16.823

9.  Performance evaluation of handheld Raman spectroscopy for cocaine detection in forensic case samples.

Authors:  Ruben F Kranenburg; Joshka Verduin; Renee de Ridder; Yannick Weesepoel; Martin Alewijn; Marcel Heerschop; Peter H J Keizers; Annette van Esch; Arian C van Asten
Journal:  Drug Test Anal       Date:  2021-01-07       Impact factor: 3.345

10.  Analysis of Contact Traces of Cannabis by In-Tube Solid-Phase Microextraction Coupled to Nanoliquid Chromatography.

Authors:  Neus Jornet-Martínez; Adrián Ortega-Sierra; Jorge Verdú-Andrés; Rosa Herráez-Hernández; Pilar Campíns-Falcó
Journal:  Molecules       Date:  2018-09-15       Impact factor: 4.411

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