Bayer Pharma AG implements a fully automated interpretation workflow for finding target masses

Others | 2016 | Thermo Fisher ScientificInstrumentation
LC/HRMS, LC/MS, LC/Orbitrap
Industries
Pharma & Biopharma
Manufacturer
Thermo Fisher Scientific

Summary

Significance of the topic


High throughput mass spectrometry workflows are essential in pharmaceutical research to support rapid decision making and reduce time to result. Automated chromatography and mass spectrometry integration improves data quality, consistency, and laboratory efficiency. By minimizing manual steps and enabling round the clock operation, fully automated systems address the growing demand for rapid screening of reaction products in medicinal chemistry.

Objectives and overview of the study


This case study describes the implementation of a fully automated interpretation workflow at Bayer Pharma AG to detect target masses in chemical reaction samples. The primary objectives were to increase throughput, enhance reliability, and consolidate all analysis steps—including chromatography, mass spectrometry, data processing, and reporting—within a single software environment. The project evaluated a Thermo Fisher Scientific solution combining UHPLC, high resolution mass spectrometry, and Chromeleon Chromatography Data System.

Methodology and instrumentation


The analytical platform comprised two identical setups, each including:
  • Thermo Scientific Dionex UltiMate 3000 RSLC UHPLC system with three minute separation and injection overlap
  • Thermo Scientific Exactive Plus Orbitrap high resolution mass spectrometer operating at four hertz, alternating positive and negative ion modes in one run
  • Chromeleon Chromatography Data System to control both LC and MS hardware and to execute a custom eWorkflow
Chromeleon was programmed with intelligent run control, system suitability tests, custom variables for barcode metadata entry, and an automated reporting routine that generates three page PDF summaries per injection.

Main results and discussion


Over a five month period, the laboratory processed more than nine thousand reaction samples, achieving automatic detection of target masses in ninety percent of cases. Each sample journey from receipt to final report was reduced to approximately fifteen minutes. The mass spectrometer exhibited stable calibration over several weeks and maintained high data quality under continuous operation. Automation of data evaluation and reporting greatly reduced technician involvement and eliminated downtime during non staffed hours.

Benefits and practical applications


  • High throughput processing of over one thousand samples per day
  • Uninterrupted operation during lunch, evenings, and weekends
  • Consolidated software environment for LC, MS, and reporting
  • Automated identification and annotation of target masses with combined UV and MS data
  • Improved data consistency and reduced manual error

Future trends and opportunities


The flexibility of Chromeleon and high resolution Orbitrap technology opens avenues for expanding automated workflows to additional analytical applications, such as metabolite profiling and impurity screening. Integration with laboratory information management systems and cloud based data analytics could further streamline decision making. Advances in machine learning for spectral interpretation may enhance sensitivity and selectivity of target mass detection.

Conclusion


The implementation of a fully automated LC-UV/MS workflow controlled by Chromeleon CDS at Bayer Pharma AG resulted in significant gains in throughput, reliability, and turnaround time. The unified platform reduced manual intervention, delivered high quality data, and enabled rapid delivery of results to medicinal chemistry teams. This case demonstrates the practical value of integrated chromatography and mass spectrometry solutions in pharmaceutical analytics.

References


Thermo Fisher Scientific (2016) Bayer Pharma AG implements a fully automated interpretation workflow for finding target masses. Chromeleon Case Study CS71783-EN

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