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LabSolutions Detect

Brochures and specifications | 2025 | ShimadzuInstrumentation
Software
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Shimadzu

Summary

Significance of the Topic


Automated anomaly detection in liquid chromatography (LC) data is essential for reliable quality control in pharmaceutical and food industries. By rapidly identifying unexpected peaks and impurities, laboratories can ensure product safety, maintain regulatory compliance, and accelerate routine testing workflows.

Objectives and Overview


This application note introduces LabSolutions Detect, a software tool designed to compare accumulated reference chromatogram data against daily sample runs. Its goal is to streamline detection of retention time shifts, unknown peaks, and impurities, reducing manual review effort and improving data consistency.

Used Methodology and Instrumentation


Key software functions:
  • Alignment: automatic correction of retention time fluctuations to overlay chromatograms accurately.
  • Clustering: grouping similar peaks across multiple datasets to identify recurring impurities.
  • Reporting and data management: centralized storage of difference analysis results with one-click report generation.

Supported instrumentation:
  • Shimadzu liquid chromatography systems (native integration).
  • LC data from Agilent and Thermo instruments.
  • LabSolutions CS server-based database and cloud architectures (AWS, Azure, GCP).

Main Results and Discussion


Alignment correction significantly reduces false-positive differences caused by retention time shifts and baseline variability. Clustering automates the identification of common unknown peaks, visualizing results in chromatogram overviews and detailed peak tables. One-click report functions highlight peaks outside predefined criteria, enabling swift decision making. Seamless integration with the LabSolutions database preserves data integrity and simplifies batch and anomaly analyses across networked client PCs.

Benefits and Practical Use


LabSolutions Detect enhances QC operations by:
  • Reducing manual inspection time through automated peak matching and alignment.
  • Ensuring reproducible, high-quality LC data regardless of operator skill.
  • Providing a unified platform for data review, reporting, and long-term trend monitoring.

Future Trends and Possibilities


Ongoing developments may include deeper integration of artificial intelligence for predictive anomaly detection, expansion to mass spectrometry and other analytical techniques, enhanced IoT connectivity for real-time monitoring, and cloud-native deployments for scalable, remote access to quality data.

Conclusion


LabSolutions Detect offers a comprehensive solution for efficient LC anomaly detection, combining retention time alignment, clustering of impurities, and streamlined reporting. Its integration with LabSolutions and support for multiple LC platforms empowers laboratories to maintain high data integrity, accelerate quality control tasks, and adapt to evolving analytical demands.

Reference


No external references were provided in the source document.

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