Case Studies
Validation of LC–MS Multi-Attribute Method Supporting Biopharma Process Characterization
Overview
Analytics & Modeling - Data-as-a-Service | |
Pharmaceuticals Healthcare & Hospitals | |
Product Research & Development Quality Assurance | |
Predictive Quality Analytics Process Control & Optimization | |
Data Science Services System Integration | |
Operational Impact
The MAM approach developed was targeted to be high throughput. Simply being able to monitor four CQAs in one analytical run proved to be time-saving. | |
By using appropriate sample preparation and optimizing LC–MS gradients and analyses the team achieved a throughput of almost 300 samples per week. | |
Using Genedata Expressionist to completely automate the data processing allowed for a reduction in total data analysis time to less than 1 hour. | |
Quantitative Benefit
Reduced the run time from 120 minutes to just 30 minutes, quadrupling sample throughput. | |
Achieved a throughput of almost 300 samples per week. | |
Reduced total data analysis time to less than 1 hour. | |