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March 8 - 12, 2021

ALL TIMES SCHEDULED ARE EASTERN STANDARD TIME (EST)


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Virtual Pittcon 2021

Cannabis Characterization using GC and GCxGC with Time-of-Flight Mass Spectrometry

  • Session Number: S22-03
Tuesday, March 09, 2021: 9:40 AM - 10:15 AM

Speaker(s)

Author
David Alonso
Applications Chemist
LECO Corporation
Co-Author
Joseph Binkley
Applications Manager Separation Science
LECO Corporation

Description

Cannabis legalization and sales continue to increase globally. Consequently, medical testing will grow as consumers demand more cannabis product information. Accurate chemical characterization of cannabis is critical for determining the effectiveness and safety of its numerous commercial products. Regrettably, reported test results are often inaccurate and/or non-verifiable. This has led researchers to develop improved analysis and classification protocols including a more reliable classification based on overall chemical content. Chemical profiling of samples will be useful for predicting its therapeutic potential, but more important, confirming product reproducibility. In this study, modern-day gas chromatography – mass spectrometry (GC-MS) and comprehensive two-dimensional gas chromatography (GCxGC)-MS technologies were implemented for the untargeted analysis of cannabis botanicals. This methodology provided potency determination, terpene profiling and untargeted characterization of different cannabis types. Data collection was comprehensive; however, both targeted and untargeted processing methods were utilized for the quantitative and qualitative analysis of the samples. The analytical methodology produced data with superior chromatographic resolution and increased peak signal to noise values, which dramatically improved compound detection and identification. The rich, high-quality spectral data were submitted for downstream statistical processing using novel software based on fisher ratio tiles for class to class and within class comparison. Enhanced chromatographic plots (GCxGC), high performance TOFMS and statistical processing facilitated chemical classification and resulted in differentiation of cannabis samples.

Track(s)


Additional Info

Keywords: Please select up to 4 keywords ONLY:
Chromatography - Other,Extractions,Terpenes,CBD



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