Microcomputer-assisted liquid chromatographic separation system: application to toxic compounds identification in...

Area of Science:

• Analytical Chemistry
• Forensic Toxicology
• Chromatography

Background:

• Accurate identification of toxic compounds in biological samples is crucial for clinical and forensic toxicology.
• Traditional methods for toxic compound analysis can be time-consuming and require specialized expertise.
• Automation in chromatographic analysis offers potential for improved efficiency and accuracy.

Purpose of the Study:

• To introduce and evaluate a novel computer-assisted liquid chromatographic system (MCASYST) for automated toxic compound identification.
• To assess the performance and potential applications of MCASYST in the analysis of poisoned human fluids.

Main Methods:

• Development of the MCASYST, integrating six key functions: retention prediction, data base management, automated identification, separation optimization, data loading, and spectral data management.
• Evaluation of the MCASYST system using toxic compounds found in poisoned human fluids.
• Utilizing UV multichannel detection and UV spectral data base for compound analysis.

Main Results:

• The MCASYST system demonstrated capability for automated identification and analysis of toxic compounds.
• The integrated functions of the system, including retention prediction and spectral data base, contribute to enhanced analytical performance.
• Successful application of the system in analyzing complex matrices like poisoned human fluids was shown.

Conclusions:

• The MCASYST represents a significant advancement in automated chromatographic analysis for toxicological applications.
• The system has the potential to improve the speed and reliability of toxic compound identification in forensic and clinical settings.
• Further validation and application of MCASYST in diverse toxicological scenarios are warranted.