Getting started with Advanced Sample Linking

Importance of the Topic

In modern analytical laboratories, accurate sample identification and traceability are essential to ensure data integrity and regulatory compliance. Automated linking of source containers and target vials minimizes manual input errors, streamlines high-throughput workflows, and supports reproducible results across diverse applications.

Study Objectives and Overview

This document introduces the Agilent Advanced Sample Linking solution, designed to integrate barcode-based sample tracking with OpenLab CDS workflows. Key goals include reducing error-prone transfer steps, enabling seamless communication between sample scheduling and sequence execution, and providing a user-centric interface for laboratory personnel.

Methodology and Workflow

The workflow consists of four preparatory steps followed by a seven-stage operational sequence. Initial setup involves updating OpenLab CDS and Sample Scheduler software, installing the Sample ID Reader upgrade kit, and configuring the Sample Linking software on the OpenLab server. After hardware assembly and login to the Bench Applications portal, users assign source barcodes in Sample Scheduler, scan containers and vials via the handheld InfinityLab Assist Interface, and transfer samples into a vial rack. The system tracks all barcode associations, automatically submits sequences to OpenLab CDS, and optionally exchanges data with LIMS for end-to-end sample management.

Used Instrumentation

• Agilent OpenLab CDS with Sample Scheduler for OpenLab
• Agilent Sample Linking software within the Bench Applications portal
• InfinityLab Assist Interface display stand and handheld barcode scanner
• Agilent G4756A InfinityLab Sample ID Reader and multisampler upgrade kit
• Multisampler equipped with Sample ID Reader module

Main Results and Discussion

Implementation of Advanced Sample Linking demonstrated consistent reduction in barcode misassignments and improved sample throughput. Automated tracking eliminated the need for manual entry of vial identifiers, while real-time monitoring within the Bench Applications portal provided visibility into transfer status. Integration with OpenLab CDS enabled direct sequence submission, reducing turnaround time and minimizing operator interventions.

Benefits and Practical Applications of the Method

• Enhanced data integrity through automated barcode tracking
• Reduced risk of sample mix-ups and injection errors
• Simplified workflow management in high-throughput environments
• Seamless integration with LIMS and laboratory information systems
• Scalable deployment across routine QA/QC and research laboratories

Future Trends and Potential Applications

Advancements may include cloud-based sample management, integration of machine learning for predictive scheduling, and expanded compatibility with diverse analytical instruments. Broader adoption of IoT-enabled sensors and smart trays could further automate laboratory logistics and support fully connected workflows.

Conclusion

The Agilent Advanced Sample Linking solution provides a robust framework for automating sample identification and sequence submission. By combining barcode scanning hardware with intuitive software integration, laboratories can achieve higher efficiency, reduce manual errors, and maintain comprehensive audit trails.

Reference

• Agilent InfinityLab LC Series Multisampler Sample ID Upgrade Kit Installation Note (G4764-Sample-ID-Reader-Upgrade-TecPu-en-D0032639)
• Advanced Sample Linking Installation and Configuration Guide (advanced-sample-linking-v1.0-installation-en.pdf)
• Agilent Technologies, D0119282 Rev.A, Edition 11/2024