Agilent Bravo Metabolomics Sample Prep Platform - Data Sheet

Importance of the Topic

Automated, reproducible sample preparation is critical in metabolomics to reduce variability, increase throughput, and ensure data quality. Standardizing liquid handling workflows minimizes human error and supports robust discovery and targeted studies.

Objectives and Study Overview

This datasheet presents the Agilent Bravo Metabolomics Sample Prep Platform, outlining its design goals: consistent sample handling, adaptability to LC/MS systems, and user-friendly software to streamline plasma metabolite extraction workflows.

Methodology

The platform integrates automated liquid handling with vacuum filtration and thermal mixing. A predefined protocol guides users through steps including lipid removal and sample transfer. The workflow is executed on 96-well ANSI/SBS plates for compatibility with downstream LC/MS analysis.

Used Instrumentation

• Agilent Bravo automated liquid handling platform with 96LT pipetting head
• Vacuum filtration station and pump module
• Heater/shaker station with controller
• Filter plate holder
• Agilent VWorks Automation Control Software on Windows 10
• Captiva EMR-Lipid plates and 250 µL Agilent-certified pipette tips

Main Performance Results and Discussion

The Bravo system delivers 2–250 µL pipetting with ±10% accuracy and ≤5% CV at 5 µL. Its compact footprint (67.1 × 48.3 × 69.7 cm) and integrated safety light curtains support lab ergonomics. Typical power consumption is 11.5 A at 120 V, and the platform meets CE marking requirements.

Benefits and Practical Applications

• Enhanced reproducibility and reduced sample-to-sample variability
• High throughput processing of plasma for metabolomic profiling
• Software-driven standardized protocols minimize training requirements
• Compatibility with any LC/MS that accepts 96-well plates streamlines integration into existing workflows
• Space-saving design suitable for core facilities and industrial labs

Future Trends and Potential Applications

Advances may include integration of AI-based protocol optimization, miniaturized reaction volumes for metabolite enrichment, and expanded consumable formats for diverse biofluids. Coupling with real-time analytics and cloud-based data management will further accelerate metabolomics research.

Conclusion

The Agilent Bravo Metabolomics Sample Prep Platform offers a reliable, automated solution to streamline metabolite extraction workflows. Its combination of precision, software guidance, and modular design addresses key challenges in reproducibility and throughput, making it a valuable asset in both discovery and targeted metabolomics.