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Data · dataset · 2025

Computational and Design of Experiment Strategies to Improve Differentiation and Quantitation of Trace-Level Cannabinoids by Copper Cationization Paper Spray Mass Spectrometry

Listed in Borealis

The medicinal and recreational use of cannabis products is quickly rising from increased worldwide legalization and decriminalization.

Description

Despite this, current analytical methods have compromises when analyzing common isobaric cannabinoids, such as cannabidiol (CBD) or (−)-trans-Δ9-tetrahydrocannabinol (THC). We report on the use of computational chemistry, combined with design of experiment (DoE), to optimize and develop a paper spray mass spectrometry method with on-paper cationization to simplify workflow for trace level differentiation and quantitation of THC and CBD.

Computational chemistry allowed for pre-screening of candidate metal ions prior to experimental measurements, with promising candidates then being evaluated by electrospray ionization high resolution mass spectrometry (ESI-HRMS). A direct mass spectrometry method using copper cationization with paper spray mass spectrometry (PS-MS) was then developed and optimized using DoE. Copper cationization with both ESI and PS-MS tandem mass spectrometry demonstrated the best CBD/THC selectivity and sensitivity, with ~1% interference between [CuCBD]+ and [CuTHC]+, allowing rapid direct mass spectrometry differentiation.

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DoE results increased the analytical performance of the PS-MS method for quantifying cannabinoids in methanol and saliva. Detection limits in methanol were 10 ng/mL for CBD and 20 ng/mL by PS-MS, whereas detection limits in saliva and acetonitrile/water matrices were <2 ng/mL for both THC and CBD. This work illustrates the advantages of using DoE and computational chemistry to develop PS-MS and ESI methods that can differentiate and quantify isobaric cannabinoids.

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Catalogue records · 1

Topics

Stated by source
Chemistry
From keywords
Chemistry · Life Sciences
Inferred from text
Mass spectrometry 75% · Molecular medicine 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/VQ3QNQ11 d agoJSON v1
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