Investigation of heroin profiling using trace organic impurities

Area of Science:

• Forensic Chemistry
• Analytical Chemistry
• Organic Chemistry

Background:

• Heroin profiling is crucial for forensic investigations.
• Distinguishing between different heroin sources, such as Purified South-East Asian (PSEA) and non-PSEA, is essential.
• Previous methods may lack the discriminatory power for precise origin determination.

Purpose of the Study:

• To develop a robust method for profiling heroin impurities.
• To differentiate between PSEA and non-PSEA heroin samples based on their chemical profiles.
• To establish a comprehensive impurity library for forensic analysis.

Main Methods:

• Analysis of acidic and neutral impurities in 54 heroin samples (46 PSEA, 8 non-PSEA) using gas chromatography-mass spectrometry (GC-MS).
• Construction of an impurity library containing over 649 compounds.
• Application of statistical procedures, including cluster analysis, to identify profiling parameters.
• Development of predictive logistic models for sample classification.

Main Results:

• A comprehensive library of 649 heroin impurities was generated.
• Statistical analysis identified 70 viable profiling parameters.
• Cluster analysis revealed similarities between samples.
• A blended PSEA profile was created for comparison.
• 25 discriminating factors (18 continuous, 7 dichotomised) successfully resolved PSEA/non-PSEA samples.
• Predictive logistic models explained 85-100% of the variation in experimental data.

Conclusions:

• GC-MS analysis coupled with statistical methods provides a powerful tool for heroin impurity profiling.
• The developed method effectively distinguishes between heroin samples of different origins.
• The established impurity library and profiling parameters enhance forensic capabilities in identifying heroin sources.