Automating data processing and analysis with Mnova Gears

Importance of the Topic

The need for automated data analysis in modern high throughput NMR and MS emerges from the rapid data acquisition capabilities of current instruments. Without efficient processing workflows, the bottleneck shifts from measurement to analysis, slowing results delivery and undermining the advantages of advanced sample changers and fast methods.

Objectives and Overview of the Study

This article introduces Mnova Gears, a software platform for automating analytical data analysis within the Mnova environment. It outlines the core concepts behind reusable data processing modules and describes how sample level and batch level automation can be configured. The goal is to provide a flexible framework that addresses diverse laboratory needs.

Methodology and Instrumentation

• Modular design based on bricks which encapsulate specific tasks such as spectrum assignment or concentration calculation
• Peripheral components for data selection, grouping, reporting and exception review
• Sample automation via MyGears for custom processing, report generation and output management
• Full batch automation via MGears with data retrieval from file systems or spectral databases and real time processing support
• Custom scripting integration at all workflow stages using the Mnova script engine

Main Results and Discussion

• Identification of core versus peripheral functions enables reuse of fundamental analysis steps in multiple pipelines
• Sample level automation streamlines individual data processing through familiar Mnova templates and report formats
• Batch level automation leverages grouping logic and master file fallback to handle large datasets automatically
• Review by exception and interactive html reporting offer a balance between automated throughput and human oversight
• Custom scripting extends the platform to unique user environments and third party systems via API calls

Benefits and Practical Applications

• Rapid development and deployment of analysis workflows tailored to laboratory requirements
• Reduced manual intervention and error potential in high throughput environments
• Consistent reporting formats that integrate with existing Mnova databases and document templates
• Scalable solution from modest sample automation to fully automated batch processing
• Cost effective licensing options for laboratories with varying throughput demands

Future Trends and Opportunities

Advances in machine learning and cloud computing will likely drive further integration of data analysis automation tools. Increased standardization of APIs and the growth of web based services will enable seamless connectivity between spectral instruments and informatics platforms. User created bricks and community driven plugin libraries may expand the functionality of Mnova Gears, enhancing adaptability to emerging analytical challenges.

Conclusion

Mnova Gears provides a modular and extensible framework for automated NMR and MS data analysis within the Mnova suite. By separating core analytical steps from peripheral functions and supporting both sample and batch workflows, the platform addresses the needs of diverse laboratories aiming to improve throughput, consistency and data quality.

References

Sharman G and Mestrelab Research S L September 2021 Mnova Gears automation concepts and implementation