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Automated qualitative and quantitative analysis of complex forensic drug samples using 1 H NMR.
Mehr, S Hessam M; Tang, Aaron W; Laing, Richard R.
Afiliación
  • Mehr SHM; Drug Analysis Service, Regulatory Operations and Enforcement Branch, Health Canada, Burnaby, British Columbia, Canada.
  • Tang AW; Drug Analysis Service, Regulatory Operations and Enforcement Branch, Health Canada, Scarborough, Ontario, Canada.
  • Laing RR; Drug Analysis Service, Regulatory Operations and Enforcement Branch, Health Canada, Burnaby, British Columbia, Canada.
Magn Reson Chem ; 61(2): 95-105, 2023 02.
Article en En | MEDLINE | ID: mdl-35246867
Progress in high-resolution nuclear magnetic resonance (NMR) instrumentation has enabled fast and accurate acquisition of quantitative 1 H NMR (qNMR) data, but analyzing complex forensic drug samples in the presence of significant peak overlap remains challenging. This limitation has hampered the adoption of 1 H NMR in areas such as traditional medicine and law enforcement. We present the NMRquant algorithm, which can detect and quantitate compounds of interest within forensic mixed drug samples even when there is overlap between chemical shift regions. Our algorithm is robust against variations in chemical shift resulting from temperature, concentration, and inter-analyte interactions. We have integrated these desirable features into an automated workflow, enabling routine unattended proton qNMR analysis of forensic drug samples.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Protones / Imagen por Resonancia Magnética Tipo de estudio: Qualitative_research Idioma: En Revista: Magn Reson Chem Asunto de la revista: QUIMICA Año: 2023 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Protones / Imagen por Resonancia Magnética Tipo de estudio: Qualitative_research Idioma: En Revista: Magn Reson Chem Asunto de la revista: QUIMICA Año: 2023 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Reino Unido