Robotic method for the analysis of morphine and codeine in urine

Area of Science:

• Forensic Toxicology
• Analytical Chemistry
• Laboratory Automation

Background:

• Urine drug screening is crucial for clinical and forensic toxicology.
• Accurate detection and quantification of opioids like morphine and codeine are essential.
• Manual sample preparation for drug analysis can be time-consuming and prone to errors.

Purpose of the Study:

• To develop and validate a fully automated procedure for morphine and codeine detection and quantification in urine samples.
• To improve the efficiency and reliability of opioid analysis in forensic and clinical toxicology.

Main Methods:

• Initial screening of urine samples using the Syva EMIT Toxicology System (ETS).
• Confirmation of positive samples via a Zymate laboratory robotic system for hydrolysis, extraction, and derivatization.
• Detection of derivatized morphine and codeine using gas chromatography/mass spectrometry (GC/MS).
• Optimization of enzymatic hydrolysis conditions during method development.

Main Results:

• A completely automated workflow for morphine and codeine analysis in urine was established.
• The automated procedure demonstrated reliability and efficiency in sample processing.
• Gas chromatography/mass spectrometry provided sensitive and specific detection of the target analytes.

Conclusions:

• The developed automated procedure offers a robust and efficient solution for the detection and quantification of morphine and codeine in urine.
• Automation significantly streamlines the toxicology workflow, reducing manual labor and potential for human error.
• This method is suitable for routine use in forensic and clinical toxicology laboratories.