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Cannabis Testing Laboratory Solutions

Brochures and specifications | 2019 | ShimadzuInstrumentation
GC/MSD, GC/MS/MS, HeadSpace, GC/QQQ, HPLC, LC/MS, LC/MS/MS, LC/QQQ
Industries
Food & Agriculture
Manufacturer
Shimadzu

Summary

Importance of Topic


Cannabis testing has become a critical component of both medicinal and recreational markets. Proper analytical methods ensure product safety, accurate labeling, and regulatory compliance. By detecting potency, contaminants, and impurities, laboratories help protect consumer health and support market integrity.

Objectives and Overview


This article outlines a comprehensive laboratory workflow offered by a leading instrumentation provider. The aim is to deliver turnkey solutions for all stages of cannabis analysis— from cannabinoid quantification to contaminant screening—minimizing method development time and maximizing throughput and reliability.

Used Instrumentation


Key analytical platforms include:
  • High-performance liquid chromatographs with turnkey potency analyzers
  • Gas chromatographs and GC-MS/MS systems with headspace samplers for terpenes and solvents
  • Triple quadrupole LC-MS/MS for pesticides and mycotoxins
  • Inductively coupled plasma mass spectrometers (ICP-MS) for heavy metals
  • Precision moisture balances for water content determination
  • LabSolutions DB/CS software for data management and regulatory compliance

Methodology


Analytical workflows cover:
  • Potency Testing: Multiple HPLC methods (high throughput, high sensitivity, high resolution) for up to 11 cannabinoids with certified reference materials and one-day installation
  • Terpene Profiling: GC-MS platforms coupled to headspace sampling, capable of identifying thousands of volatile compounds
  • Pesticide Analysis: Fast LC-MS/MS quantitation of over 200 pesticides in under 12 minutes; optional GC-MS/MS for difficult analytes
  • Residual Solvents: Headspace GC-MS to screen for trace levels of solvents in extracts
  • Heavy Metals: ICP-MS analysis following acid digestion to detect toxic metals at trace levels
  • Moisture Content: Halogen-heated moisture balances to accurately measure water percentages
  • Mycotoxins: LC-MS/MS for rapid detection of aflatoxins and other fungal metabolites at ultralow levels

Main Results and Discussion


Validated methods delivered rapid analysis times (8–30 minutes per run), robust sensitivity, and full baseline resolution of target analytes. The turnkey packages eliminated lengthy in-house method development. Flexible platforms allowed laboratories to adapt to evolving regulatory lists and expand testing menus with minimal additional investment.

Benefits and Practical Application


These integrated solutions offer laboratories:
  • Reduced startup time via pre-validated workflows and certified standards
  • Scalable performance to accommodate small QC labs or high-throughput production testing
  • Comprehensive support including installation, training, and preventive maintenance
  • Regulatory compliance through dedicated software for data integrity and electronic signatures

Future Trends and Possibilities


Emerging directions in cannabis analysis include:
  • Supercritical fluid extraction (SFE) coupled to SFC-LC-MS/MS for minimal sample prep and chiral separations
  • MALDI-TOF MS for rapid microbial identification and cultivar profiling
  • High-resolution Q-TOF instruments for accurate mass screening and untargeted metabolomics
  • Increased automation and integration with laboratory information management systems (LIMS)
  • Application of AI-driven data analysis for pattern recognition and predictive quality control

Conclusion


Comprehensive cannabis testing solutions deliver reliable, high-sensitivity methods across all major assay types. Turnkey instrumentation packages shorten time to results and support regulatory requirements, enabling labs to focus on quality, safety, and method expansion to address future market needs.

References


No external literature was cited in the original text.

Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

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