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Detection and Identification of Illicit Drugs and Cutting Agents in Seized Street Drugs: Benchtop NMR Spectrometer & Databasing Software ACD/Labs User Meeting Susanne D. Riegel, Alexander F. G. Maier, Dimitris Argyropoulos, Marie Lange,


  1. Detection and Identification of Illicit Drugs and Cutting Agents in Seized Street Drugs: Benchtop NMR Spectrometer & Databasing Software ACD/Labs User Meeting Susanne D. Riegel, Alexander F. G. Maier, Dimitris Argyropoulos, Marie Lange, Marion Baumgarte Baltimore, MD March 8 th , 2020

  2. NMR Instruments and Field Strength 2 Dalitz, F.; Cudaj, M.; Maiwald, M.; Guthausen, G.; Prog. Nuc. Mag. Reson. Spec. 2012 , 60 , 52

  3. Illegal Drugs • Typically classified by: – Legal Classification – e.g., Schedule I, Class A – Effect – e.g., depressant, stimulant, hallucinogen – Molecular Structure – e.g., cannabinoids, opioids, phenethylamines Amphetamine MDMA Methamphetamine Stimulant Psychedelic, entactogen Stimulant • Designer Drugs – synthetic analog of a legal restricted or prohibited drug devised to avoid drug detection and identification. 3

  4. New Psychoactive Substances* (from 2-phenyethylamine) 4 * Defined by EU 2015/1535 ‘Act to combat the distribution of new psychoactive substance’

  5. Why Benchtop NMR Spectroscopy? Benchtop Nik Wipes IR HPLC High-field NMR NMR ✓ ✓ ✓ ✓ X Sample Prep Easy Easy Tedious Easy Easy ✓ ~ ~ ~ ~ Sample Conc Medium Low-medium Low Low-medium Medium ✓ ✓ ✓ ✓ X Analysis Time <1 min <1 min >15 min <1 min <1 min ✓ ✓ ✓ X X Location On-site On-site Off-site Off-site On-site ✓ ✓ X X X Standards Required Required Required Not Required Not Required ✓ ✓ X X Quantitative X with calibration with calibration w/o calibration w/o calibration Capital Cost $ $ $$ $$$$ $$ Operating $ $ $$ $$$ $ Expenditure 5

  6. Considerations for Mobile Laboratory - Stability – temperature (AC & simple heating block), vibration (soft or hard) - Mounting - Power consumption - Automation - Accuracy/reliability 6

  7. Sample Preparation and 1 H NMR Acquisition S AMPLE P REP : Reference Standards Unknown Search Queries - 60 µmol of sample dissolved in - ~30 mg of an unknown drug sample ~0.6 mL DMSO- d 6 or D 2 O (if insoluble) dissolved/suspended in vials of - Vial capped and agitated until dissolved ~0.6 mL DMSO- d 6 and D 2 O completely. - Vials were capped and agitated for 1 min - Transferred to NMR tube - Liquid phase transferred to NMR tube 1 H NMR D ATA A CQUISITION (performed at LKA): 1D 1 H NMR spectrum at 60 MHz scan delay = 1 s SW = 80 ppm ns = 16 or 64 SW center = 20 ppm time = 1 min or 4 min np = 8192 P RE -P ROCESSING (ACD/Labs Macro for automatic processing): - Zero Fill - Baseline - Phase - solvent detection 7

  8. Database 8

  9. Creating a Macro 9

  10. Creating a Macro 10

  11. Creating a Macro 11

  12. Automated Preprocessing: Apply Macro 12

  13. Automated Preprocessing: Apply Macro 13

  14. Case Study: Unknown Street Drug 1. Sample Prep of Unknown: - Spatula of unknown added to vial of ~0.6 mL D 2 O - Sealed and agitated for 1 min - Liquid phase transferred to NMR tube 2. 1 H NMR Spectra Acquisition 3. Load into ACD/Spectrus - Auto Preprocessing Macro - Peak Search with ACD/Spectrus DB 14

  15. Open Unknown 1 H NMR Spectra into ACD/Labs 15

  16. Search Database 16

  17. Database Search Options 17

  18. Database Search 18

  19. First Database Hits: Cocaine 19

  20. Auto Select Best Hits 20

  21. Database Best Hits 21

  22. Adjust Intensity 22

  23. Optimize Hit 23

  24. Optimize hit for Cocaine 24

  25. Residuals of Best Fit for Unknown & Cocaine Std 25

  26. Optimize Hit for Lactose 26

  27. Manually Change Intensity 27

  28. Manually Change Intensity 28

  29. Manually Change Intensity 29

  30. Visualize Sum Instead of Residuals 30

  31. Sum of Database Components on Unknown 31

  32. Manually Investigate Other Potential Hits CH 3 NH Cl CH 3 N O N 32

  33. Visualize Inspect Benzydiamine HCl CH 3 NH Cl CH 3 N O N 33

  34. Visually Inspect bk-2C-B HCl H 3 C O O NH 3 Cl Br O CH 3 34

  35. Visually Inspect Caffeine 35

  36. Optimize Intensity 36

  37. Horizontal Offset Adjustment 37

  38. Line Broadening Adjustment 38

  39. Optimize Hit 39

  40. Caffeine Optimized 40

  41. Visually Inspect Sorbitol OH OH OH HO OH OH 41

  42. Visually Inspect D-Mannitol 42

  43. Visually Inspect Citric Acid O OH O O HO OH OH 43

  44. Select all Matching Components 44

  45. Inspect Matching Components: Sum 45

  46. Case Study: Cocaine cont. 46

  47. Case Study: Cocaine cont. 47

  48. Report: Street Drug Cocaine HCl Caffeine D-Mannitol Cocaine HCl Lactose 33.33 match 16.67 match 83.33 match 50.00 match Compare with GC-MS analysis: - Cocaine HCl (41.9%) - Caffeine - Lactose - D-mannitol/sorbitol 48

  49. Conclusions and Future Work • Successfully acquired and built database for 150+ illicit drugs and cutting agents Peak pick allowed relatively automatic identification of peaks • Want to develop fingerprinting/similarity structures flags • 49

  50. Thanks and Acknowledgments ACD/Labs Kriminaltechnisches Nanalysis Michel Riese Juan Araneda Institut Terry Chu Christian Vidal Paul Hui Nicole Lehnert Neal Gallagher Adam Paulson Amro Hussein 50

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