Rapid analysis of Δ8-tetrahydrocannabinol, Δ9-tetrahydrocannabinol, and cannabidiol in Δ8-tetrahydrocannabinol edibles by Ag(I) paper spray mass spectrometry after simple extraction
Δ8-Tetrahydrocannabinol (THC) products are increasingly popular despite uncertainties regarding their legality and safety. Based on the hypothesis that unique double-stage tandem mass spectrometry (MS<sup>2</sup>) and triple-stage tandem mass spectrometry (MS<sup>3</sup>) fragments would allow unambiguous identification of cannabinoids, a simple and rapid method was developed for the differentiation of Δ8-THC, Δ9-THC, and cannabidiol (CBD) within 1 min. This approach combines methanol extraction and silver(I)-impregnated paper spray mass spectrometry (AgPS-MS) for the analysis of Δ8-THC products. Extraction recovery exceeded 85 % for all three cannabinoids from Δ8-THC edibles, with acceptable matrix effects observed in both brownie and vape oil samples. The Δ9-THC:Δ8-THC ratios in acid-treated cannabidiol mixtures were quantified with results comparable to GC-FID method (0 to -11 % deviation). Analysis of commercial Δ8-THC products revealed four contained illegal Δ9-THC levels (> 0.3 %) and all contained various other THC isomers, e.g., Δ8-iso-THC, Δ(4)8-iso-THC, or Δ3-THC. This method offers a reliable solution for Δ8-THC product screening.
Authors
- Si Huang (ORCID: https://orcid.org/0000-0002-6792-086X)
- Teris A. van Beek (ORCID: https://orcid.org/0000-0002-9843-7096)
- Han Zuilhof (ORCID: https://orcid.org/0000-0001-5773-8506)
- Gert IJ. Salentijn (ORCID: https://orcid.org/0000-0002-2870-9084)
- Erik Beij
- Bo Chen (ORCID: https://orcid.org/0000-0002-9926-4377)
- Ming Ma (ORCID: https://orcid.org/0000-0001-8461-9836)
Institutions
- Hunan Normal University (CN)
- Wageningen University & Research (NL)
Publication Details
- Journal
- Food Chemistry
- Published
- 2025-03-11
- DOI
- https://doi.org/10.1016/j.foodchem.2025.143829
- Citations
- 5
- Primary Topic
- Cannabis and Cannabinoid Research
- Type
- article
- Field-Weighted Citation Impact
- 6.97
Funders
- Università degli Studi di Milano
- National Natural Science Foundation of China
- China Scholarship Council
- Wageningen University and Research