Application of design of experiment for quantification of 71 new psychoactive substances in influent wastewater.


Journal

Analytica chimica acta
ISSN: 1873-4324
Titre abrégé: Anal Chim Acta
Pays: Netherlands
ID NLM: 0370534

Informations de publication

Date de publication:
08 Sep 2024
Historique:
received: 17 04 2024
revised: 25 07 2024
accepted: 28 07 2024
medline: 19 8 2024
pubmed: 19 8 2024
entrez: 18 8 2024
Statut: ppublish

Résumé

New psychoactive substances (NPS) are of public health concern due to their sporadic proliferation and the dearth of information on toxicity when consumed. In addition to seized data from forensic and toxicology reporting, wastewater analysis serves as a complimentary tool for NPS surveillance. A method to detect 71 NPS by simple filtration followed by liquid-chromatography tandem mass spectrometry was developed to detect multiclass NPS consisting of arylcyclohexylamines, designer benzodiazepines, synthetic cannabinoids, synthetic opioids, phenethylamines, synthetic cathinones, tryptamines, and indole alkaloids. In this work, the influential factors for electrospray ionisation were identified and optimised using the fractional factorial design and face-centred central composite design, respectively. The filtration loss during sample clean-up was assessed for all compounds. The final method was validated and applied to wastewater collected from a music festival held in Queensland in 2022. The validated method had linearity between 0.5 ng L Systematic electrospray ionisation optimisation using the design of experiment for a large method is practical and provides in-depth chemical information on studied compounds. The optimised method demonstrated the applicability of analysing samples collected from a festival in this work.

Sections du résumé

BACKGROUND BACKGROUND
New psychoactive substances (NPS) are of public health concern due to their sporadic proliferation and the dearth of information on toxicity when consumed. In addition to seized data from forensic and toxicology reporting, wastewater analysis serves as a complimentary tool for NPS surveillance. A method to detect 71 NPS by simple filtration followed by liquid-chromatography tandem mass spectrometry was developed to detect multiclass NPS consisting of arylcyclohexylamines, designer benzodiazepines, synthetic cannabinoids, synthetic opioids, phenethylamines, synthetic cathinones, tryptamines, and indole alkaloids.
RESULTS RESULTS
In this work, the influential factors for electrospray ionisation were identified and optimised using the fractional factorial design and face-centred central composite design, respectively. The filtration loss during sample clean-up was assessed for all compounds. The final method was validated and applied to wastewater collected from a music festival held in Queensland in 2022. The validated method had linearity between 0.5 ng L
SIGNIFICANCE CONCLUSIONS
Systematic electrospray ionisation optimisation using the design of experiment for a large method is practical and provides in-depth chemical information on studied compounds. The optimised method demonstrated the applicability of analysing samples collected from a festival in this work.

Identifiants

pubmed: 39155095
pii: S0003-2670(24)00837-7
doi: 10.1016/j.aca.2024.343036
pii:
doi:

Substances chimiques

Wastewater 0
Psychotropic Drugs 0
Water Pollutants, Chemical 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

343036

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Dhayaalini Nadarajan (D)

Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Woollsiana, Queensland, Australia.

Jake O'Brien (J)

Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Woollsiana, Queensland, Australia; Van't Hoff Institute for Molecular Sciences (HIMS), University of Amsterdam, Netherlands.

Sarah Cresswell (S)

School of Environment and Science, Griffith University, Queensland, Australia.

Ben Kele (B)

Arris Pty Ltd, 44 Wenworth Terrace, Rockhampton, QLD, 4700, Australia.

Jochen Mueller (J)

Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Woollsiana, Queensland, Australia.

Richard Bade (R)

Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Woollsiana, Queensland, Australia. Electronic address: r.bade@uq.edu.au.

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Classifications MeSH