Analytical Techniques for Propofol Detection and Metabolism

Summary

Propofol is an intravenous anaesthetic agent whose rapid onset and offset underpin its widespread use in surgery and intensive care. Accurate measurement of propofol and its metabolites in biological matrices is critical for optimising dosing, monitoring depth of anaesthesia, and guiding forensic or clinical investigations. Established approaches employ chromatographic separation coupled with mass spectrometric detection to achieve high sensitivity and specificity, whereas emerging sensor technologies and microextraction methods seek to reduce analysis time and sample volume. Investigations of metabolic pathways have elucidated the roles of hepatic UDP-glucuronosyltransferases and cytochrome P450 enzymes in generating propofol glucuronide and hydroxylated derivatives. Advances in metabolomics further enable comprehensive profiling of phase I and phase II metabolites, offering insights into interindividual variability and potential drug–drug interactions. Collectively, these analytical developments support real-time monitoring, personalised anaesthetic management and improved forensic interpretation worldwide.

Research from Nature Portfolio

Recent studies have demonstrated that ion mobility spectrometry can deliver rapid, label-free quantification of plasma propofol concentrations with minimal sample preparation. In this approach, a small drop of plasma is deposited onto a thermal desorption medium and analysed directly in less than one minute. The method achieves a linear response across clinically relevant ranges (1–12 µg mL⁻¹) with detection limits down to 0.1 µg mL⁻¹ and shows excellent agreement with high-performance liquid chromatography measurements. By eliminating extensive pre-treatment steps and enabling near real-time feedback, ion mobility spectrometry represents a significant advancement for intraoperative anaesthetic monitoring and adjustment.

Analytical Techniques for Propofol Detection and Metabolism publication trend

The graph below shows the total number of articles in analytical techniques for propofol detection and metabolism across all publications each year (not limited to Nature Index journals).

Technical terms

Ion mobility spectrometry (IMS): Analytical technique separating ions by their drift velocity through a gas under an electric field, enabling rapid compound detection without extensive sample preparation.

Solid-phase microextraction (SPME): Sample-preparation method using a coated fibre to adsorb analytes directly from a sample matrix for subsequent chromatographic or spectrometric detection.

Dispersive liquid–liquid microextraction (DLLME): Miniaturised extraction approach in which a mixture of extractant and disperser solvents forms fine droplets, facilitating rapid analyte partitioning from biological fluids.

Gas chromatography–mass spectrometry (GC-MS): Combined technique separating volatile compounds by gas chromatography and identifying them by mass spectrometry based on mass-to-charge ratios.

High-performance liquid chromatography (HPLC): Analytical method for separating non-volatile compounds in liquid phase, often coupled with ultraviolet or mass spectrometric detection for quantification.

Metabolomics: Comprehensive study of small-molecule metabolites within a biological system, providing insights into metabolic pathways, enzyme activities and individual variability.

References

  1. Metabolic Profiles of Propofol and Fospropofol: Clinical and Forensic Interpretative Aspects. BioMed Research International (2018).
  2. Propofol detection for monitoring of intravenous anaesthesia: a review. Journal of Clinical Monitoring and Computing (2021).
  3. Ion mobility spectrometry as a simple and rapid method to measure the plasma propofol concentrations for intravenous anaesthesia monitoring. Scientific Reports (2016).
  4. Rapid and Simple Dispersive Liquid–Liquid Microextraction (DLLME) Sample Preparation for Propofol Analysis in Hair, Blood, and Urine by Gas Chromatography–Mass Spectrometry. Drug Testing and Analysis (2025).

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