A calibration friendly approach to identify drugs of abuse mixtures with a portable near‐infrared analyzer. Issue 6 (9th February 2022)
- Record Type:
- Journal Article
- Title:
- A calibration friendly approach to identify drugs of abuse mixtures with a portable near‐infrared analyzer. Issue 6 (9th February 2022)
- Main Title:
- A calibration friendly approach to identify drugs of abuse mixtures with a portable near‐infrared analyzer
- Authors:
- Kranenburg, Ruben F.
Ramaker, Henk‐Jan
Sap, Sharon
van Asten, Arian C. - Abstract:
- Abstract: Both the increasing number and diversity of illicit‐drug seizures complicate forensic drug identification. Traditionally, colorimetric tests are performed on‐site, followed by transport to a laboratory for confirmatory analysis. Higher caseloads increase laboratory workload and associated transport and chain‐of‐evidence assurance performed by police officers. Colorimetric tests are specific only for a small set of drugs. The rise of new psychoactive substances therefore introduces risks for erroneous results. Near‐infrared (NIR)‐based analyzers may overcome these encumbrances by their compound‐specific spectral selectivity and broad applicability. This work introduces a portable NIR analyzer that combines a broad wavelength range (1300–2600 nm) with a chemometric model developed specifically for forensic samples. The application requires only a limited set of reference spectra for time‐efficient model training. This calibration‐light approach thus eliminates the need of extensive training sets including mixtures. Performance was demonstrated with 520 casework samples resulting in a 99.6% true negative and 97.6% true positive rate for cocaine. Similar results were obtained for MDMA, methamphetamine, ketamine, and heroin. Additionally, 236 samples were analyzed by scanning directly through their plastic packaging. Also here, a >97% true positive rate was obtained. This allows for non‐invasive, operator‐safe chemical identification of potentially potent drugs ofAbstract: Both the increasing number and diversity of illicit‐drug seizures complicate forensic drug identification. Traditionally, colorimetric tests are performed on‐site, followed by transport to a laboratory for confirmatory analysis. Higher caseloads increase laboratory workload and associated transport and chain‐of‐evidence assurance performed by police officers. Colorimetric tests are specific only for a small set of drugs. The rise of new psychoactive substances therefore introduces risks for erroneous results. Near‐infrared (NIR)‐based analyzers may overcome these encumbrances by their compound‐specific spectral selectivity and broad applicability. This work introduces a portable NIR analyzer that combines a broad wavelength range (1300–2600 nm) with a chemometric model developed specifically for forensic samples. The application requires only a limited set of reference spectra for time‐efficient model training. This calibration‐light approach thus eliminates the need of extensive training sets including mixtures. Performance was demonstrated with 520 casework samples resulting in a 99.6% true negative and 97.6% true positive rate for cocaine. Similar results were obtained for MDMA, methamphetamine, ketamine, and heroin. Additionally, 236 samples were analyzed by scanning directly through their plastic packaging. Also here, a >97% true positive rate was obtained. This allows for non‐invasive, operator‐safe chemical identification of potentially potent drugs of abuse. Our results demonstrate the applicability for multiple drug‐related substances. Ideally, the combination of this NIR approach with other portable techniques, such as Raman and IR spectroscopy and electrochemical tests, may eventually eliminate the need for subsequent laboratory analysis; therefore, saving tremendous resources in the overall forensic process of confirmatory illicit drug identification. Abstract : A portable near‐infrared analyzer that combines a broad wavelength range (1300–2600 nm) with a chemometric model developed specifically for forensic samples is introduced. The application only requires a limited set of reference spectra for modeling, thus eliminating the need of extensive training sets. The performance was demonstrated on a broad set of 756 forensically relevant samples, including casework samples analyzed directly through their plastic packaging. Over 97% true positive and true negative performance was observed. … (more)
- Is Part Of:
- Drug testing and analysis. Volume 14:Issue 6(2022)
- Journal:
- Drug testing and analysis
- Issue:
- Volume 14:Issue 6(2022)
- Issue Display:
- Volume 14, Issue 6 (2022)
- Year:
- 2022
- Volume:
- 14
- Issue:
- 6
- Issue Sort Value:
- 2022-0014-0006-0000
- Page Start:
- 1089
- Page End:
- 1101
- Publication Date:
- 2022-02-09
- Subjects:
- chemometrics -- illicit‐drug analysis -- near‐infrared spectroscopy -- net analyte signal -- portable devices
Drugs -- Analysis -- Periodicals
Drug testing -- Periodicals
Chemistry, Forensic -- Periodicals
615.1901 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1942-7611 ↗
http://rzblx1.uni-regensburg.de/ezeit/warpto.phtml?colors=7&jour_id=110501 ↗
http://www3.interscience.wiley.com/journal/121408477/home ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/dta.3231 ↗
- Languages:
- English
- ISSNs:
- 1942-7603
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3629.424000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 21829.xml