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Preparation of Human Tissues Embedded in Optimal Cutting Temperature Compound for Mass Spectrometry Analysis
Published on: April 27, 2021
Using temperature to optimize resolution and reduce analysis times for bioanalytical diastereomer LC-MS/MS
Jennifer M Cunliffe1, Daniel P Dreyer, Roger N Hayes
1Merck Research Laboratories, 181 Passaic Avenue, Summit, NJ 07901, USA.
Journal of Pharmaceutical and Biomedical Analysis
|September 15, 2010
Summary
High temperature liquid chromatography improves drug stereoisomer separation in human plasma. This validated method enhances bioanalysis for clinical trials, offering better resolution and faster analysis times.
Area of Science:
- Analytical Chemistry
- Bioanalytical Chemistry
- Chromatography
Background:
- Quantifying drug stereoisomers in human plasma is crucial for pharmaceutical development.
- Achieving optimal selectivity and resolution for stereoisomers can be challenging in bioanalysis.
Purpose of the Study:
- To develop a robust and reproducible bioanalytical method for quantifying drug stereoisomers.
- To investigate the impact of column temperature on chromatographic separation and analysis time.
Main Methods:
- Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was employed.
- High temperature chromatography was utilized to optimize diastereomer selectivity and resolution.
- Method validation was performed according to regulatory guidelines.
Main Results:
- Column temperature was identified as a critical factor for optimizing stereoisomer selectivity, resolution, and analysis cycle time.
- Non-linear Van't Hoff plots indicated complex retention mechanisms influenced by temperature.
- The validated high-temperature method successfully analyzed samples from human clinical trials.
Conclusions:
- High temperature chromatography provides an alternative selectivity mechanism for challenging separations.
- This approach is a viable strategy for regulated bioanalysis of drug stereoisomers.
- The developed method is rugged, reproducible, and suitable for clinical sample analysis.
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