Advanced Utilization of the Custom Calculator Tool for OpenLab CDS: An Oligonucleotide Example

Importance of the Topic

Accurate and efficient quantification of oligonucleotide purity is critical in pharmaceutical development and quality control. Custom Calculator for OpenLab CDS offers an automated approach to extract, process, and report mass spectral data, reducing manual workload and minimizing error risk while ensuring robust, stability-indicating analysis of complex oligo mixtures.

Objectives and Overview of the Study

This work demonstrates how to implement a Custom Calculator-driven workflow for automated peak area calculations of full-length oligonucleotides and their related impurities. Key aims include:

• Developing a method for automated %Area reporting across up to 120 MS channels
• Comparing manual versus automated method creation and processing times
• Defining user roles and ongoing maintenance steps for routine operation

Methodology and Instrumentation

The study uses OpenLab CDS with the Custom Calculator feature and an Agilent MSD XT single quadrupole mass spectrometer in full-scan mode. Method development involves:

• Extraction of specific m/z channels within predefined retention time windows
• Grouping of species into categories such as full-length product, shortmers, longmers, oxidized and depurinated variants
• Embedding custom calculations into the processing method for automated %Area summation

Main Results and Discussion

Introducing the Custom Calculator reduced hands-on method creation time from 30–120 minutes to approximately 15 minutes, with subsequent automated processing requiring only two minutes per sequence. This automation maintains accuracy in impurity profiling and significantly enhances throughput. Time savings scale with sample volume, making the workflow especially beneficial for high-throughput labs.

Benefits and Practical Applications

Key advantages include:

• Substantial reduction in manual calculation errors
• Consistent, QC-ready reporting of oligonucleotide purity
• Streamlined analyst and administrator roles with clear steps for method updates
• Reusable processing methods tied to instrument methods for long-term use

Future Trends and Potential Applications

Opportunities for extending this approach include:

• Adaptation to other biopolymer analyses such as peptides or proteins
• Integration with advanced data analytics and machine-learning models for pattern recognition
• Fully remote or cloud-based processing pipelines for distributed laboratories
• Enhanced reporting formats, including real-time dashboards and LIMS integration

Conclusion

Automating oligonucleotide purity analysis with Custom Calculator in OpenLab CDS delivers significant time savings, improved data consistency, and reduced manual burden. A one-time setup yields long-term efficiency gains and supports high-quality, stability-indicating workflows essential for regulated laboratories.