Easy and Robust Automated Sample Preparation and Extraction for LC-MS/MS Bioanalytical Workflows
Posters | 2023 | Waters | ASMSInstrumentation
Bioanalytical sample preparation critically influences LC-MS/MS assay performance, driving the need for robust, reproducible, and efficient workflows. Automated sample extraction minimizes user-to-user variability, increases throughput, and frees analysts for higher-value tasks in pharmaceutical research, clinical testing, and quality control.
This work demonstrates the fully automated extraction of apixaban from plasma using the Andrew+ Pipetting Robot equipped with the Extraction+ Connected Device and OneLab Software. The study compares six common bioanalytical extraction techniques, evaluating recovery, matrix effects, linearity, accuracy, and precision.
The automated workflows were implemented on the Andrew+ Pipetting Robot with the Extraction+ device under OneLab protocol control. Extraction methods included:
All automated methods achieved excellent calibration linearity (R2 > 0.99) and met regulatory criteria for accuracy (±15%) and precision (±15%). Recoveries ranged from approximately 53% for SLE to over 100% for mixed-mode SPE, while matrix effects varied by technique:
Automated sample preparation is poised to integrate with digital lab ecosystems and cloud-based data management. Emerging directions include AI-driven method optimization, miniaturized extraction devices, multiplexed assays, and expansion to high-throughput clinical and biopharmaceutical workflows.
The integration of the Andrew+ Pipetting Robot, Extraction+ Connected Device, and OneLab Software enables robust, high-throughput automated sample preparation for LC-MS/MS bioanalysis. This approach reduces variability, accelerates assay development, and meets stringent regulatory requirements with minimal manual intervention.
None
Sample Preparation
IndustriesPharma & Biopharma
ManufacturerWaters
Summary
Importance of the Topic
Bioanalytical sample preparation critically influences LC-MS/MS assay performance, driving the need for robust, reproducible, and efficient workflows. Automated sample extraction minimizes user-to-user variability, increases throughput, and frees analysts for higher-value tasks in pharmaceutical research, clinical testing, and quality control.
Goals and Study Overview
This work demonstrates the fully automated extraction of apixaban from plasma using the Andrew+ Pipetting Robot equipped with the Extraction+ Connected Device and OneLab Software. The study compares six common bioanalytical extraction techniques, evaluating recovery, matrix effects, linearity, accuracy, and precision.
Methodology and Instrumentation
The automated workflows were implemented on the Andrew+ Pipetting Robot with the Extraction+ device under OneLab protocol control. Extraction methods included:
- Protein precipitation (PPT) and PPT with phospholipid removal
- Solid-supported liquid extraction (SLE)
- Reversed-phase SPE (HLB) and SPE with phospholipid removal
- Mixed-mode SPE
Main Results and Discussion
All automated methods achieved excellent calibration linearity (R2 > 0.99) and met regulatory criteria for accuracy (±15%) and precision (±15%). Recoveries ranged from approximately 53% for SLE to over 100% for mixed-mode SPE, while matrix effects varied by technique:
- Reversed-phase SPE and mixed-mode SPE delivered high recoveries (89–104%) with low matrix effects (under 1%)
- PPT methods showed moderate recoveries (77–85%) with higher matrix interference (27–35%)
- SLE exhibited lower cleanup efficiency and greater variability
Benefits and Practical Applications
- Streamlined workflows with minimal method development requirements
- Rapid qualitative comparison of multiple extraction techniques
- Regulatory-compliant quantitative performance for bioanalysis
- Increased laboratory productivity and reduced manual error
Future Trends and Applications
Automated sample preparation is poised to integrate with digital lab ecosystems and cloud-based data management. Emerging directions include AI-driven method optimization, miniaturized extraction devices, multiplexed assays, and expansion to high-throughput clinical and biopharmaceutical workflows.
Conclusion
The integration of the Andrew+ Pipetting Robot, Extraction+ Connected Device, and OneLab Software enables robust, high-throughput automated sample preparation for LC-MS/MS bioanalysis. This approach reduces variability, accelerates assay development, and meets stringent regulatory requirements with minimal manual intervention.
References
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