Automated Cell Line Control with Advanced PAT
Discover how we implemented automated cell line control with advanced PAT and Process Orchestration for a leading biopharma innovator, ensuring high-quality MAb production.
Solution
Industry
Pharma / Biotech
Scope
Process Orchestration / PAT Modeling / Automation / Data Science
Timeframe
4 months
60%
experiment reduction time
80%
manual process steps removed
6
standalone equipments integrated
The client
A leading biopharmaceutical innovator focused on advanced monoclonal antibody (MAb) production and the implementation of state-of-the-art perfusion bioprocessing.
Business needs
The client aimed to build a state-of-the-art perfusion cell line for MAbs to increase overall product quality. This required deep collaboration with vendors to develop new Process Analytical Technology (PAT) methods and a thorough understanding of the commercialization potential of integrated lab setups.
The challenge
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01
Quality Management — Increasing product (MAb) quality by actively managing complex protein glycosylation profiles.
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02
Complex Automation — Automating a perfusion bioprocess that leverages advanced liquid chromatography and mass spectroscopy (LS/MS) PAT models.
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03
Interdisciplinary Coordination — Managing multiple streams of work across process research, data analytics, and system integration.
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04
Distributed Collaboration — Coordinating efforts across a distributed team located in multiple sites across the EU and USA.
Our solution
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Advanced Data Platform
Creation of a centralized data platform with advanced visualization capabilities to monitor process parameters.
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Central Process Orchestration
Implementation of a Process Orchestration Layer (POL) to manage the entire lab cell line.
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Closed-Loop Control
Development of an automation framework based on integrated PAT models to enable real-time process adjustments.
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Team Integration
Deployment of a specialized team of scientists, engineers, and technicians to handle complex technical requirements.
Technology used
- Central Process Orchestrator (POL)
- LS/MS Glycosylation Profiling
- PAT Modeling & Analytics
- Perfusion Bioreactor Control
- Aseptic Auto Sampler
- Closed-loop Automation
The outcome
The implementation successfully transformed a complex, manual research process into a fully integrated, high-precision bioprocessing environment. By closing the loop between analytical data and process control, we delivered a system capable of autonomous process parameters optimization.
- Real-Time Quality Assurance — Active management of protein glycosylation profiles resulted in MAb consistency meeting the highest pharmaceutical standards.
- Operational Autonomy — Transitioning to closed-loop automation reduced manual sampling, minimizing contamination risks and human error.
- Accelerated Research — Harmonizing the lab cell line through a central orchestrator allowed for faster experiment iteration and reliable data correlation.
- Commercial Readiness — Provided a scalable blueprint for perfusion bioprocessing, offering a clear path for global commercialization.
What we implemented
- Automated Perfusion Control — Real-time management of bioreactor parameters based on sampling data.
- Aseptic Sampling Integration — Seamless connection between the auto-sampler and analytical instruments.
- PAT-Based Model Integration — Using advanced data models to drive the Process Orchestration Layer.
- Global Project Management — Execution through a distributed EU/USA team across multiple work streams.
Achieving high-quality monoclonal antibody production at scale requires more than just advanced hardware; it demands the perfect orchestration of data, science, and automation. By integrating state-of-the-art LS/MS glycosylation profiling with a central Process Orchestration Layer, we moved from simple monitoring to true closed-loop control. This project highlights our ability to manage multiple complex workstreams, from deep process research to global system integration, ensuring that every technical hurdle is transformed into a quantifiable increase in product quality and operational efficiency.
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