Overview of systematic toxicological analysis strategies and their coverage of substances in forensic toxicology.
STA
drug screening
forensic toxicology
high‐resolution
mass spectrometry
Journal
Analytical science advances
ISSN: 2628-5452
Titre abrégé: Anal Sci Adv
Pays: Germany
ID NLM: 9918334986206676
Informations de publication
Date de publication:
May 2023
May 2023
Historique:
received:
19
12
2022
revised:
30
03
2023
accepted:
30
03
2023
medline:
8
5
2024
pubmed:
8
5
2024
entrez:
8
5
2024
Statut:
epublish
Résumé
Systematic toxicological analysis (STA) is the process of using an adequate analytical methodology to detect and identify as many potentially toxicologically relevant compounds as possible in biological samples. STA is an important part of everyday routine work within forensic toxicology, and several methods for STA have frequently been published and reviewed independently. However, the many drugs and other substances involved, as well as the constant emergence of new ones, may pose a major challenge in STA, which often demands a strategy involving multiple analytical methods in parallel. Such strategies have been published and evaluated less frequently despite their relevance in forensic toxicology. This mini-review briefly summarizes commonly applied methods for STA in forensic toxicology, including gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-MS (LC-MS) methods, and highlights some of their potential pitfalls. Second, it provides an overview of previously reported strategies to conduct STA, including a presentation of the STA strategy applied in the authors' laboratory. This involves broad drug screening by LC-high-resolution MS, supported by targeted screening and quantification using LC-tandem MS, headspace (HS)-GC-MS, HS-GC-flame ionization detector and other complementary methods. The STA strategy aims to cover as many potentially relevant drugs as possible and seeks to reduce potential pitfalls arising in forensic casework. The review underlines that not every substance can be identified in all circumstances even with a comprehensive STA strategy.
Identifiants
pubmed: 38715924
doi: 10.1002/ansa.202200062
pii: ANSA202200062
pmc: PMC10989544
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
96-103Informations de copyright
© 2023 The Authors. Analytical Science Advances published by Wiley‐VCH GmbH.
Déclaration de conflit d'intérêts
The authors declare no conflict of interest.