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The acceptance criteria for dissolution profile data are anchored in Q values, representing the percentage of drug dissolved within a specified period. This assessment unfolds in three stages:First Stage: The test passes if all six drug dosage units are equal to or greater than Q plus 5%; otherwise, the sample proceeds to the second stage.Second Stage: The average of twelve units must be equal to or greater than Q, with no unit falling below Q - 15% to pass; if not, it progresses to the final...
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A Simple and Effective Physical Characteristic Profiling Method for Methamphetamine Tablet Seized in China.

Tao Li1, Zhendong Hua1, Xin Meng1

  • 1National Narcotics Laboratory, Drug Intelligence and Forensic Center of the Ministry of Public Security, Beijing, 100193, China.

Journal of Forensic Sciences
|June 24, 2017
PubMed
Summary

This study introduces a physical profiling method for methamphetamine (MA) tablets with "WY" logos. The method effectively distinguishes between MA tablet seizures, identifying a dominant "WY-001" group linked to a large clandestine factory.

Keywords:
forensic sciencehierarchical cluster analysismethamphetamine tabletphysical characteristicprofilingreceiver operating characteristic

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Area of Science:

  • Forensic Chemistry
  • Drug Analysis
  • Criminology

Background:

  • Methamphetamine (MA) tablet production involves distinct chemical and physical characteristics.
  • Effective profiling methods are crucial for differentiating MA tablet seizures and understanding illicit manufacturing networks.

Purpose of the Study:

  • To develop a simple and effective physical characteristic profiling method for "WY"-logo MA tablets.
  • To discriminate between linked and unlinked MA tablet seizures using physical attributes.
  • To assess the prevalence and origin of specific MA tablet types in China.

Main Methods:

  • Exploration of seventeen signature distances from the "WY" logo for multivariate analysis.
  • Utilizing Receiver Operating Characteristic (ROC) curves to evaluate pretreatment and distance/correlation metrics.
  • Application of Hierarchical Cluster Analysis (HCA) to a dataset of 200 MA tablet seizures.

Main Results:

  • "Standardization + Euclidean" and "Logarithm + Euclidean" algorithms proved most effective for MA tablet profiling.
  • Hierarchical cluster analysis classified 76% of 2015 seizures into a "WY-001" group.
  • "WY-001" tablets constituted 51-80% of Chinese MA tablet seizures between 2011 and 2015.

Conclusions:

  • The developed physical profiling method is effective for drug intelligence, enabling discrimination of MA tablet seizures.
  • The consistent dominance of "WY-001" tablets suggests a large, persistent clandestine manufacturing operation in China.
  • This methodology aids in tracing illicit drug supply chains and identifying major production sources.