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Quantitation of Cannabinoids in Hemp Flower by Derivatization GC/MS

Applications | 2020 | Agilent TechnologiesInstrumentation
GC/MSD, GC/SQ
Industries
Food & Agriculture
Manufacturer
Agilent Technologies

Summary

Importance of the Topic


Hemp and cannabis testing for total potency and regulatory compliance hinges on accurate quantitation of both neutral and acidic cannabinoids. Federal regulations require hemp to contain less than 0.3% total THC by dry weight and distinguishing THCA from Δ9-THC is critical to ensure legal compliance and consumer safety.

Objectives and Study Overview


This study aimed to develop an offline derivatization GC/MS workflow to quantify total THC (sum of THCA and Δ9-THC) and nine additional cannabinoids in hemp flower. The method addresses challenges related to thermal lability of acidic cannabinoids and aims for low detection limits, good linearity, precision, and accuracy across a wide dynamic range.

Methodology and Instrumentation


  • Sample Preparation
    Ground hemp was extracted with ethyl acetate using mechanical shaking, centrifugation, filtration, and serial dilution to reach a 1:2000 final dilution.
  • Derivatization
    Extracts and calibration standards were treated with a 1:1 volume ratio of BSTFA with 1% TCMS, heated at 70 °C for 60 minutes to form stable trimethylsilyl derivatives of both acidic and neutral cannabinoids.
  • Calibration Strategy
    Eight calibrators were prepared by serial dilution of a 100 ppm working standard to cover 0.05–1 ppm for most analytes and 0.25–10 ppm for CBDA. Calibration curves demonstrated r2 values above 0.99.
  • Data Acquisition and Processing
    GC/MS data were collected using Agilent MassHunter software for both acquisition and qualitative analysis.

Instrumentation Used


  • Agilent 8890 GC coupled to a 5977B Mass Selective Detector with inert ion source
  • Multimode inlet with splitless single tapered liner and DB-35MS UI column (30 m × 0.25 mm, 0.25 µm)
  • MassHunter Workstation Software (Acquisition B.10.0, Qualitative Analysis 10.0.707.0)

Main Results and Discussion


  • Derivatization Optimization
    Complete conversion was achieved at a 1:1 reagent ratio and 70 °C for 60 minutes, avoiding BSTFA decomposition while ensuring stability of labile acids.
  • Linearity, Precision, and Accuracy
    Most cannabinoids showed linear ranges from 0.05–1 ppm (CBDA at 0.25–10 ppm) with r2 ≥ 0.992. %RSD values were below 15% and recoveries ranged from acceptable to elevated for acidic analytes due to high native concentrations.
  • Total THC Calculation
    The method allows summation of Δ9-THC and THCA for total THC determination. The sample tested contained CBDA as the major component (1 777 ppm) and total THC well below the 0.3% threshold.
  • Detection of Other Cannabinoids
    Trace levels of CBD, CBG, CBN, and other minor cannabinoids were detected but often fell below quantitation limits, highlighting the need for careful dilution strategies to capture both major and minor components.

Benefits and Practical Applications


  • The offline derivatization approach preserves native acidic cannabinoids and simplifies total THC measurement.
  • The workflow meets regulatory requirements for hemp testing and can be extended to other cannabinoids.
  • Spectral stability and high throughput make it suitable for routine QC and forensic laboratories.

Future Trends and Applications


  • Integration of automated sample preparation to increase throughput.
  • Development of advanced reference materials covering a broader range of minor cannabinoids.
  • Potential coupling with high-resolution MS for comprehensive cannabinoid profiling.
  • Adaptation of the method to emerging hemp-derived products such as edibles and concentrates.

Conclusion


The described GC/MS method with BSTFA derivatization provides a robust, reproducible, and accurate approach for quantifying total THC and multiple cannabinoids in hemp flower. Compliance with regulatory limits is easily demonstrated, and the method can support expanded profiling as the industry evolves.

References


  1. Russo EB, et al. Journal of Experimental Botany. 2008;59(15):4171–4182.
  2. Skoglund G, Nockert M, Holst B. Scientific Reports. 2013;3:2686.
  3. Agriculture Improvement Act of 2018, H.R.2, SEC.10111.
  4. Macherone AA. Comprehensive Analytical Chemistry. Elsevier; in press.

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