Cannabis, Tobacco and Related Products

Confident profiling of controlled substances using GC–TOF MS

This study describes the use of GC–TOF MS for comprehensive profiling of seized drug samples, for confident identification of controlled substances, as well as adulterants and cutting agents.

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Comprehensive aroma profiling of cannabis using a discovery workflow

This study describes the use of GC×GC–TOF MS for exploratory profiling of terpenes and other aroma-active compounds in cannabis flowers.

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Quantitation of residual solvents and terpenes in cannabis products – a combined approach

This study describes a combined approach for fast, targeted screening of residual solvents and key terpenes, as well as a discovery route for enhanced separation of terpenes and terpenoids and greater insight into cannabis aroma.

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Comparison of terpene profiles across cannabis strains

This study describes the use of GCxGC–FID for profiling terpenes in cannabis. A key feature is the enhanced separation provided by GC×GC, which allows common co-elutions to be resolved, improving confidence in compound identity and data quality.

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Tobacco Smoke Analysis with Tandem Ionisation

This study demonstrates the enhanced separation and unparalleled sensitivity that can be achieved in the characterisation of cigarette smoke, using thermal desorption (TD) and flow-modulated GC×GC with TOF MS, aided by Tandem Ionisation for simultaneous acquisition of NIST-quality 70 eV spectra and complementary soft EI spectra.

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Enhanced characterisation of cannabis extracts using flow-modulated GCxGC–TOF MS/FID with Tandem Ionisation

This study demonstrates the use of flow-modulated GCxGC to detect cannabinoids and terpenoids in complex cannabis extracts, with simultaneous detection by FID for robust quantitation and TOF MS for confident identification (aided by Tandem Ionisation).

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Improving confidence in the quantitative analysis of cannabis terpenes using flow-modulated GCxGC–FID

This study demonstrates the use of flow-modulated GC×GC–FID to streamline profiling of cannabis terpenes and terpenoids. A key feature is the enhanced separation provided by GCxGC, which improves confidence in compound identity and data quality.

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