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Development of visual peak selection system based on multi-ISs normalization algorithm to apply to methamphetamine

Hun Joo Lee1, Eunyoung Han2, Jaesin Lee3

  • 1Department of Computer Science and Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul, Republic of Korea.

Forensic Science International
|October 9, 2016
PubMed
Summary

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This summary is machine-generated.

A new visual peak selection system (VPSS) with a normalization algorithm improves impurity profiling in methamphetamine (MA) analysis. This method enhances the resolution, accuracy, and speed of identifying drug impurities.

Area of Science:

  • Forensic Chemistry
  • Analytical Chemistry
  • Chromatography

Background:

  • Impurities in seized drugs provide crucial information on trafficking routes and manufacturing origins.
  • Traditional impurity profiling using relative retention time (RRT) with single internal standards is problematic with multiple standards and complex chromatograms due to peak overlap and classification difficulties.

Purpose of the Study:

  • To enhance the resolution of impurity peaks in gas chromatography (GC) analysis using a novel normalization algorithm for multi-internal standards (ISs).
  • To introduce a visual peak selection system (VPSS) for efficient impurity profiling.
  • To improve the classification and analysis of impurities in methamphetamine (MA) samples.

Main Methods:

  • Impurities in MA were extracted using liquid-liquid extraction (LLE) with ethylacetate and four internal standards.
Keywords:
Impurity profilingMethamphetamineMethamphetamine impurity profilingNormalization algorithm

Related Experiment Videos

  • Analysis was performed using gas chromatography-flame ionization detection (GC-FID).
  • A newly developed VPSS, incorporating a normalization algorithm, was utilized for data processing and impurity detection.

    • Main Results:

    • The VPSS with its normalization algorithm effectively detected impurities in complex matrices, maintaining chromatographic peak time sequence similar to RRT.
    • The system significantly improved the resolution and alignment of impurity peaks, facilitating easier separation and classification.
    • Remarkable improvements in the resolution, accuracy, and speed of impurity profiling were observed.

    Conclusions:

    • The developed VPSS and normalization algorithm offer a robust solution for impurity profiling in forensic analysis.
    • This approach enhances the ability to identify and classify drug impurities, aiding in the determination of drug trafficking routes and manufacturing processes.
    • The system provides a more efficient and accurate tool for analyzing complex chromatographic data in drug investigations.