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At-line process analytical technology (PAT) for more efficient scale up of biopharmaceutical microfiltration unit
Douglas S Watson1, Kristi R Kerchner1, Sean S Gant1
1Merck & Co, Inc, Merck Manufacturing Div., Elkton, VA, 22827.
Biotechnology Progress
|November 1, 2015
Summary
This study introduces a new method using process analytical technology (PAT) and mass balance modeling to improve the scale-up of microfiltration (MF) for therapeutic protein manufacturing, increasing yield and reducing risks.
Area of Science:
- Biotechnology
- Chemical Engineering
- Process Chemistry
Background:
- Tangential flow microfiltration (MF) is vital for bioprocess separation but faces scale-up challenges due to empirical methods.
- Scaling up MF processes for therapeutic protein manufacturing often involves trial-and-error, leading to inefficiencies and risks.
Purpose of the Study:
- To de-risk microfiltration (MF) scale-up by integrating at-line process analytical technology (PAT) with mass balance modeling.
- To enhance the consistency and yield of a bottleneck MF step in therapeutic protein purification.
Main Methods:
- Developed and validated a 10-minute reverse phase ultra-high performance liquid chromatography (RP-UPLC) assay for at-line protein concentration monitoring.
- Employed chromatography-based PAT to identify deviations from a mass balance model during MF scale-up.
- Adjusted process controls based on PAT data to optimize MF performance.
Main Results:
- The validated RP-UPLC assay provided reliable at-line monitoring, comparable to existing methods.
- PAT identified discrepancies between the model and actual process, pinpointing areas for improvement.
- Optimized process controls based on PAT insights led to enhanced operability and significantly increased product yield.
Conclusions:
- Integrated PAT and mass balance modeling successfully de-risked MF scale-up for therapeutic protein purification.
- This approach offers a robust strategy for improving filtration process scale-up and enabling feed-forward/feedback control.
- The methodology is broadly applicable to reduce scale-up risks in filtration processes within the biopharmaceutical industry.
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