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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

Significance of the Topic


Cannabis testing is critical for ensuring product safety, regulatory compliance and accurate consumer information.
Comprehensive analytical methods protect patients and recreational users by verifying potency and detecting contaminants.

Study Objectives and Overview


This document outlines turnkey solutions for cannabis laboratories, covering potency assays, terpene profiling, pesticide and residual solvent analysis, heavy metal detection, moisture determination and mycotoxin screening.
It presents standardized methods, instrument packages and support services designed to streamline workflows from sample preparation through data management.

Methodology and Instrumentation


A variety of chromatographic and spectrometric techniques address specific analytes across the cannabis matrix:
  • High-performance liquid chromatography (HPLC) packages for 10–11 cannabinoids with throughput from 8 to 30 minutes and ready-to-use workflows.
  • Gas chromatography-mass spectrometry (GC-MS) platforms with headspace sampling for terpene profiles, residual solvents and volatile pesticides.
  • Triple quadrupole LC-MS/MS for multi-residue pesticide quantitation (211 compounds in under 12 minutes) and mycotoxin detection at ultra-low levels.
  • ICP-MS for trace heavy metal analysis following acid digestion without additional sample introduction accessories.
  • Moisture balances (MOC63u, MOC-120H) and precision weighing for moisture content control in dried cannabis products.
  • LabSolutions DB/CS software for data integrity, electronic records and FDA 21 CFR Part 11 compliance across analytical and non-analytical instruments.
  • Research-grade platforms such as online SFE-SFC-LC-MS/MS, MALDI-TOF MS and high-resolution Q-TOF LC-MS for advanced studies.

Main Results and Discussion


The turnkey HPLC analyzer series achieves rapid, reliable cannabinoid quantitation with certified reference materials and three-year service support.
GC-MS methods identify over 3,000 terpenes and efficiently screen residual solvents, while autosampler options extend pesticide testing capabilities.
Ultra-sensitive LC-MS/MS and GC-MS/MS workflows meet evolving regulatory lists, delivering low detection limits and high throughput.
ICP-MS provides rapid heavy metal screening, and moisture analyzers ensure product stability by monitoring water content.
Integrated software enhances compliance, data integrity and instrument management, facilitating consistent reporting across platforms.

Benefits and Practical Applications


  • Turnkey solutions reduce method development time and accelerate lab implementation.
  • Validated workflows and consumables improve reproducibility and regulatory confidence.
  • Comprehensive service and technical support maintain instrument performance and uptime.
  • Scalable platforms adapt to changing testing volumes and evolving legislative requirements.
  • Integration of research-grade tools enables innovative studies and method expansion.

Future Trends and Applications


Ongoing trends include greater automation, AI-driven data analysis and cloud-based LIMS integration for real-time quality assurance.
Emerging hyphenated techniques like chiral and supercritical fluid chromatography will enhance resolution of novel cannabinoids and isomers.
High-resolution accurate mass spectrometry and advanced sample preparation technologies will expand target analyte lists and detection capabilities.

Conclusion


The presented laboratory solutions offer a comprehensive, flexible toolbox for cannabis testing, ensuring safety, compliance and scientific rigor.
By combining validated methods, robust instrumentation and expert support, laboratories can confidently meet current and future analytical challenges.

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

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