Simulations of Test Reduction Using Pooled Heavy Metals Analysis in Cannabis

Area of Science:

• Environmental Science
• Analytical Chemistry
• Forensic Science

Background:

• Cannabis plants bioaccumulate toxic heavy metals from their growing environment.
• Current heavy metal testing methods are inefficient, leading to high costs and delays.
• Increased testing is crucial for the safety of medical and recreational cannabis.

Purpose of the Study:

• To demonstrate the effectiveness of pooled testing strategies for cannabis heavy metal analysis.
• To increase laboratory throughput and reduce industry testing burdens.
• To develop efficient methods for mandated heavy metal testing.

Main Methods:

• An algorithm was developed to simulate various sample pooling strategies.
• The algorithm was validated using real-world data from cannabis testing laboratories in Washington and California.
• Simulations focused on optimizing pool sizes for maximum testing efficiency.

Main Results:

• Pooling three samples reduced required tests by 23.8% for 100 samples in Washington.
• Pooling four samples reduced required tests by 54.1% for 100 samples in California.
• Results indicate significant test reductions are achievable through strategic pooling.

Conclusions:

• Pooled testing strategies can be customized per lab to reduce time, effort, and cost for heavy metal analysis.
• The benefits of pooled testing are region-dependent, influenced by contamination rates.
• Implementing pooled testing increases testing efficiency, lowers costs, and ultimately enhances cannabis product safety.