Rapid Quantitative Method for Cannabis with Enhanced Selectivity Using UPLC-UV-MS

Description

This dataset includes Excel spreadsheets with the raw data from the Rapid Quantitative Method for Cannabis with Enhanced Selectivity Using UPLC-UV-MS study that was funded by the National Institute of Justice (Award No. 15PNIJ-24-GG-03858-RESD). The data were derived from the extraction optimization study, method validation, and authentic sample analysis using a UPLC-UV-MS instrument. This data demonstrates the capabilities of PDA (i.e., UV) quantification of cannabinoids extracted from cannabis and the enhanced selectivity provided by QDa (i.e., MS) detection.

Steps to reproduce

All samples were analyzed using a Waters Acquity UPLC system fitted with a quaternary pump, sample manager, heated column compartment, photodiode array (PDA) detector, and single quadrupole (QDa) mass spectrometer. An InfinityLab Poroshell 120 EC-C18 column (100 mm length, 2.1 mm I.D., and 2.7 μm average particle size) was used to separate the 12 targeted cannabinoids. The column temperature was set to 22 °C while the autosampler temperature was maintained at 5 °C. The mobile phase solvents consisted of (A) 0.1% formic acid in water (H2O) and (B) 0.1% formic acid in acetonitrile (ACN). The separation was attained by performing the following mobile phase gradient elution at a flow rate of 0.5 mL/min: hold at 25% ACN for 5 min, increase to 85% ACN at 5.1 min and hold for 2 min, increase to 95% ACN at 7.1 min and hold for 2 min, and re-equilibrate the column at initial conditions for 2 min. A 5 μL injection volume was used for all samples. The PDA detector acquired data from 190-700 nm, and the quantitative wavelength was determined to be 220 nm. The electrospray ionization (ESI) source was operated in positive ionization mode with the ESI probe temperature and source temperature set to 600 °C and 120 °C, respectively. The cone voltage (CV) varied from 5 V to 35 V in increments of 5 V, and the scan range was m/z 40-400.

Institutions

• Sam Houston State University

  Texas, Huntsville

Categories

Funders

• National Institute of Justice

  United States Department of Justice

  District of Columbia, Washington

  Grant ID: 15PNIJ-24-GG-03858-RESD

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