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Multivariate Direct Transition Analysis for Chromatography Monitoring
Ensuring consistent performance of chromatography columns across batches remains challenging with traditional, labor-intensive methods. This application note presents direct transition analysis (DTA) as a robust, low-complexity approach and demonstrates how multivariate analysis in SIMCA®enables the reliable detection of process variability and abnormal conditions at manufacturing scale.
Key Learning Objectives:
- Learn how DTA enables robust chromatography monitoring with minimal data processing
- See how multivariate analysis detects abnormal batches and process deviations
- Explore five case studies demonstrating real-world column performance monitoring
