Towards a New Qualitative Screening Assay for Synthetic Cannabinoids Using Metabolomics and Machine Learning.

Streun, Gabriel L; Steuer, Andrea E; Poetzsch, Sandra N; Ebert, Lars C; Dobay, Akos; Kraemer, Thomas

Streun, Gabriel L; Steuer, Andrea E; Poetzsch, Sandra N; Ebert, Lars C; Dobay, Akos; Kraemer, Thomas.

Afiliação

Streun GL; Department of Forensic Pharmacology and Toxicology, Zurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.
Steuer AE; Department of Forensic Pharmacology and Toxicology, Zurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.
Poetzsch SN; Department of Forensic Pharmacology and Toxicology, Zurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.
Ebert LC; Department of Forensic Imaging/Virtopsy, Zurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.
Dobay A; Department of Forensic Genetics, Zurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.
Kraemer T; Department of Forensic Pharmacology and Toxicology, Zurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.

Clin Chem ; 68(6): 848-855, 2022 06 01.

Article em En | MEDLINE | ID: mdl-35323873

Assuntos

Canabinoides; Metabolômica; Canabinoides/análise; Cromatografia Líquida/métodos; Toxicologia Forense/métodos; Humanos; Aprendizado de Máquina

Palavras-chave

metabolomics; random forests; synthetic cannabinoids; urine screening

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Canabinoides / Metabolômica Tipo de estudo: Diagnostic_studies / Prognostic_studies / Qualitative_research / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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