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Data-Analytics for Cannabis Extraction

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Data Analytics for extraction process control and optimization is important, but hard to understand. Therefore I compare it to the NFL

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Data-Analytics for Cannabis Extraction

  1. 1. Data-Analytics for Cannabis Extraction Dr. Markus Roggen Complex Biotech Discovery Ventures, Ltd. Vancouver, Canada
  2. 2. Data-Analytics for Cannabis Production • Increase profits • Decrease costs • Increase efficiency • Decrease downtime • Increase production • Decrease waste
  3. 3. Sport: NFL • Avg. Broadcast: 174 min • Standing Around: 75 min • Commercial: 60 min ($5.0-5.6mil for 30sec) • Replays: 17 min • Game: 11 min Commercial SUPER BOWL LIV Standing Around Replay Ga me Oth ers
  4. 4. • Trimming: 25 h • Milling: 5 h • Extractor Loading: 30 min • Extraction Run: 90 min • Extractor Cleaning: 120 min • Decarboxylation: 2 h • Winterization: 2 days • Solvent Removal: 46 min Cannabis: Processing Pipeline Winterization EXTRACT a BOWL Trimming 83 h Total Time
  5. 5. Sport: Elo • Arpad Emmerich Elo, Hungarian-American physics professor • Originally developed for chess player ratings • Elo assigns power ratings • Based on (NFL) • Difference in quality between teams • Quarterback • Location • Travel distance • Rest days • … Kansas: 1743 = 63 %win SF: 1671 = 37 %win
  6. 6. Cannabis: PCA (offense) Factors to consider: • Temperature • Pressure • Time • Input Weight • Input Concentration • Input Moisture • Flow Rate • Compound Solubility • Cultivar • Extract Type
  7. 7. Producers don’t track enough: • Net Weight Collected • Run Time • Flow Rate Cannabis: PCA (defense)
  8. 8. Producers don’t track enough: • Net Weight Collected • Run Time • Flow Rate • Predictive algorithm to fill the gap Cannabis: PCA (defense)
  9. 9. • Coefficients of each variables • Statistical significance • “Trust” values Cannabis: PCA (defense)
  10. 10. Sport: Win Margins • NFL games are close • 50% single digit score differences • 40% one scoring opportunity • Mean score diff.: 3 points
  11. 11. • B2B prices of extracts are on an all time low • Increase yield/efficiency to lift profit margins C1C2C3 Cannabis: Profit Margins
  12. 12. • 4th down: Play or Punt? • Play: 71% chance for new First Down (Ravens 2019 season) Sport: To Play or not to Play
  13. 13. Cannabis: To Extract or not to Extract • Time resolved extraction yields • Initial mode: mass transfer – longer = better • Final mode: diffusion – longer = diminishing returns 0 100 200 300 400 0 5 10 15 20 25 30 35 40 YieldTHC(g) Time (t) Optimizing Run Time
  14. 14. Sport: Quarterback Rating • Total Quarterback Rating (Total QBR) • One number for all quarterback's contributions to winning • Passes • Rushes • Turnovers • Penalties Mahomes, Kansas: 279 Garoppolo, SF: 133
  15. 15. Cannabis: Extractor Rating • Different instruments => different architecture • Same model => different performance • Cannot be compared easily
  16. 16. Extractor Cannabis: Extractor Rating • Different instruments => different architecture • Same model => different performance • Cannot be compared easily
  17. 17. Sport: Endzone American Football Field: • Length: 91.44m • Endzone: 9.14m each • Total Length: 109m • Width: 48.8m
  18. 18. 0.22 0.24 0.26 0.28 0.3 0.32 0.34 0.36 0.38 0.4 15 17 19 21 23 25 27 29 Concentration(g/mL) Temperature (C) Meta stable zone width for CBD in petroleum ether Sol. T (pure) MSZT (pure) Cannabis: Metastable Zone • Crystallization: The process of solidifying atoms or molecules into highly organized structures 0.22 0.24 0.26 0.28 0.3 0.32 0.34 0.36 0.38 0.4 15 17 19 21 23 25 27 29 Concentration(g/mL) Temperature (C) Meta stable zone width for CBD in petroleum ether Sol. T (pure) MSZT (pure) Sol. T (curde) MSZT (crude)
  19. 19. Cannabis: Metastable Zone • Crystallization: The process of solidifying atoms or molecules into highly organized structures
  20. 20. Cannabis: Metastable Zone • Crystallization: The process of solidifying atoms or molecules into highly organized structures
  21. 21. CBDV Team Soheil Nasseri– Business Associate Rachel Damiani de Souza – Marketing Associate Kendra Payne – VP Business Operations Stella Zhu – Data Science Associate Sajni Shah – Research Associate
  22. 22. Questions? Complex Biotech Discovery Ventures Dr. Markus Roggen markus@cbdvl.com cbdvl.com

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