Cannabinoid Profiling and Quantitation in Hemp Extracts using the Agilent 1290 Infinity II/6230B LC/TOF system
Applications | 2017 | Agilent TechnologiesInstrumentation
Cannabinoid profiling in hemp extracts addresses a critical need for accurate quantitation of both psychoactive and nonpsychoactive compounds. Reliable measurement of cannabidiol (CBD), tetrahydrocannabinolic acid (THCA), Δ9-tetrahydrocannabinol (THC) and related phytochemicals underpins quality control, regulatory compliance and product safety across pharmaceutical, nutraceutical and industrial applications.
This study aimed to develop and validate a rapid LC/TOF mass spectrometry method for simultaneous profiling and quantitation of eleven key cannabinoids in hemp oil. It compared traditional HPLC-DAD performance against an Agilent 1290 Infinity II coupled to a 6230B LCTOF to assess dynamic range, sensitivity and specificity.
A quaternary UHPLC gradient was optimized on a ZORBAX Bonus RP column (2.1×50 mm, 1.8 µm) at 50 °C with a water-methanol-formic acid/ammonium formate mobile phase. Injection volume was 0.25 µL and flow rate 0.5 mL/min. Calibration curves spanned:
Sample preparation involved serial dilutions of commercial hemp oils in dichloromethane and methanol. A personal compound database library (PCDL) was built using accurate mass spectra, retention times and reference standards.
Excellent chromatographic resolution was achieved for all eleven cannabinoids, including baseline separation of Δ8-THC and Δ9-THC. Both detectors exhibited linear regression coefficients (R2) ≥ 0.999. The LC|TOF method delivered a THC limit of detection of 1 ng/mL and limit of quantitation of 3 ng/mL. Four replicates of seven commercial hemp oil samples demonstrated accurate quantitation, with total CBD ranging from non-detectable to over 500 mg/mL. The high mass accuracy and resolving power of LC-TOF improved specificity and reduced matrix interferences compared to UV detection alone.
Further expansion of spectral libraries to include emerging minor cannabinoids and metabolites will enhance profiling capabilities. Integration with high-throughput automation and online sample cleanup may reduce carryover and increase laboratory efficiency. The approach is readily adaptable to cannabis-infused edibles and biological matrices for comprehensive testing across the value chain.
The Agilent 1290 Infinity II/6230B LC-TOF workflow delivers robust, sensitive and highly specific quantitation of cannabinoids in hemp extracts. It outperforms traditional HPLC-DAD in dynamic range and compound identification, making it a powerful tool for quality control and research laboratories.
LC/TOF, LC/HRMS, LC/MS
IndustriesFood & Agriculture
ManufacturerAgilent Technologies
Summary
Importance of the Topic
Cannabinoid profiling in hemp extracts addresses a critical need for accurate quantitation of both psychoactive and nonpsychoactive compounds. Reliable measurement of cannabidiol (CBD), tetrahydrocannabinolic acid (THCA), Δ9-tetrahydrocannabinol (THC) and related phytochemicals underpins quality control, regulatory compliance and product safety across pharmaceutical, nutraceutical and industrial applications.
Objectives and Study Overview
This study aimed to develop and validate a rapid LC/TOF mass spectrometry method for simultaneous profiling and quantitation of eleven key cannabinoids in hemp oil. It compared traditional HPLC-DAD performance against an Agilent 1290 Infinity II coupled to a 6230B LCTOF to assess dynamic range, sensitivity and specificity.
Methodology
A quaternary UHPLC gradient was optimized on a ZORBAX Bonus RP column (2.1×50 mm, 1.8 µm) at 50 °C with a water-methanol-formic acid/ammonium formate mobile phase. Injection volume was 0.25 µL and flow rate 0.5 mL/min. Calibration curves spanned:
- HPLC-DAD: 50–1 000 µg/mL
- LC-TOF: 10–1 000 µg/mL (expanded to 100–5 000 µg/mL for development)
Sample preparation involved serial dilutions of commercial hemp oils in dichloromethane and methanol. A personal compound database library (PCDL) was built using accurate mass spectra, retention times and reference standards.
Instrumentation Used
- Agilent 1290 Infinity II UHPLC system with quaternary pump, multisampler and diode array detector
- Agilent 6230B Time‐of‐Flight Mass Spectrometer operating in positive ESI mode
- ZORBAX Bonus RP column (2.1×50 mm, 1.8 µm)
Main Results and Discussion
Excellent chromatographic resolution was achieved for all eleven cannabinoids, including baseline separation of Δ8-THC and Δ9-THC. Both detectors exhibited linear regression coefficients (R2) ≥ 0.999. The LC|TOF method delivered a THC limit of detection of 1 ng/mL and limit of quantitation of 3 ng/mL. Four replicates of seven commercial hemp oil samples demonstrated accurate quantitation, with total CBD ranging from non-detectable to over 500 mg/mL. The high mass accuracy and resolving power of LC-TOF improved specificity and reduced matrix interferences compared to UV detection alone.
Benefits and Practical Applications
- Wide dynamic range for simultaneous detection of major and trace cannabinoids
- High confidence in compound identification via accurate mass and PCDL matching
- Minimal sample preparation with rapid analysis times
- Improved specificity over UV-based detectors, reducing false positives
- Quantitative performance suitable for regulatory compliance testing
Future Trends and Potential Applications
Further expansion of spectral libraries to include emerging minor cannabinoids and metabolites will enhance profiling capabilities. Integration with high-throughput automation and online sample cleanup may reduce carryover and increase laboratory efficiency. The approach is readily adaptable to cannabis-infused edibles and biological matrices for comprehensive testing across the value chain.
Conclusion
The Agilent 1290 Infinity II/6230B LC-TOF workflow delivers robust, sensitive and highly specific quantitation of cannabinoids in hemp extracts. It outperforms traditional HPLC-DAD in dynamic range and compound identification, making it a powerful tool for quality control and research laboratories.
References
- Agilent Technologies, Application Brief 5991-8210EN, August 2017
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