Waters Andrew+ the pipetting robot
Brochures and specifications | | WatersInstrumentation
Precise and traceable liquid handling is essential for ensuring data quality, reproducibility, and safety in analytical chemistry workflows. Automated pipetting systems reduce human error, increase throughput, and support compliance with regulatory standards across research, quality control, and industrial laboratories.
The Andrew+ platform combines electronic pipettes and a compact robotic deck to execute user-defined protocols. Key features include:
Automated pipetting with Andrew+ is well suited for high-throughput screening, molecular biology assays, pharmaceutical QC, and clinical diagnostics. The system’s flexibility allows rapid adaptation of workflows and straightforward scaling of sample numbers.
The Andrew+ connected pipetting solution offers a versatile, user-friendly, and traceable approach to liquid handling. By combining robust hardware with intuitive software, it enables reliable automation of routine tasks, enhances laboratory efficiency, and supports rigorous data integrity.
Sample Preparation
IndustriesManufacturerWaters
Summary
Significance of the topic
Precise and traceable liquid handling is essential for ensuring data quality, reproducibility, and safety in analytical chemistry workflows. Automated pipetting systems reduce human error, increase throughput, and support compliance with regulatory standards across research, quality control, and industrial laboratories.
Objectives and Overview
- Present the Andrew+ connected pipetting platform, building on user feedback from the Andrew Pipetting Robot.
- Demonstrate the system’s capabilities for single- and multichannel automated liquid handling.
- Highlight integration with OneLab software to streamline protocol development and execution.
Methodology
The Andrew+ platform combines electronic pipettes and a compact robotic deck to execute user-defined protocols. Key features include:
- Support for automated aspirate-dispense cycles with both single- and multichannel pipettes.
- Compatibility with a broad selection of labware and Domino Accessories for flexible deck configuration.
- Protocol design and stepwise execution via OneLab software over WiFi or Ethernet.
Instrumentation
- Andrew+ pipetting robot with a small footprint suitable for benchtop or under-hood operation.
- Andrew Alliance Bluetooth-enabled electronic single and multichannel pipettes manufactured by Sartorius.
- Domino Accessories to accommodate tubes, plates, reservoirs, and tips.
- OneLab digital platform for intuitive protocol creation, sharing, and data tracking.
Key Results and Discussion
- Reproducibility: Automated routines minimized pipetting variability and eliminated manual handling inconsistencies.
- Productivity: Hands-free operation frees researchers to focus on experimental design and data analysis.
- Health and Safety: Reduced repetitive motions and exposure to hazardous reagents improve ergonomic conditions and lower risk.
Benefits and Practical Applications
Automated pipetting with Andrew+ is well suited for high-throughput screening, molecular biology assays, pharmaceutical QC, and clinical diagnostics. The system’s flexibility allows rapid adaptation of workflows and straightforward scaling of sample numbers.
Future Trends and Possibilities
- Deeper integration with laboratory information management systems (LIMS) and cloud-based data platforms.
- Implementation of artificial intelligence for real-time error detection and protocol optimization.
- Expansion of accessory modules for temperature control, reagent reservoirs, and plate handling.
- Remote monitoring and collaborative protocol sharing across distributed research teams.
Conclusion
The Andrew+ connected pipetting solution offers a versatile, user-friendly, and traceable approach to liquid handling. By combining robust hardware with intuitive software, it enables reliable automation of routine tasks, enhances laboratory efficiency, and supports rigorous data integrity.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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