Headspace profiling of cocaine samples for intelligence purposes

Area of Science:

• Forensic Chemistry
• Analytical Chemistry

Background:

• Illicit drug seizures require robust analytical methods for profiling and comparison.
• Residual solvents in cocaine samples can provide valuable intelligence regarding manufacturing and distribution.

Purpose of the Study:

• To develop and validate a static headspace-gas chromatography (HS-GC) method for residual solvent determination in cocaine.
• To establish a computerized procedure for data analysis and database management.
• To enable profiling and comparison of cocaine seizures for forensic intelligence.

Main Methods:

• Utilized static headspace-gas chromatography (HS-GC) for separation of 18 occluded solvents.
• Employed a fractional factorial design to optimize critical method parameters.
• Developed a fully automatic data analysis and transfer system to a PHP/MySQL database.
• Validated the method for batch comparison, reproducibility, and "cutting" influence.

Main Results:

• Successfully optimized method parameters using fractional factorial design.
• Established a decision threshold for sample similarity, evaluating false positives and negatives.
• Demonstrated the method's utility for distinguishing geographical origins of cocaine seizures.

Conclusions:

• The developed HS-GC method is effective for residual solvent analysis in illicit cocaine.
• The associated computerized procedure facilitates efficient data management and comparison of seizures.
• This analytical approach supports tactical intelligence by enabling sample profiling, comparison, and potential geographical origin determination.