Pioneering Just-in-Time (JIT) Strategy for Accelerating Raman Method Development and Implementation for Biologic...

Area of Science:

• Process Analytical Technology (PAT)
• Biopharmaceutical Manufacturing
• Chemometrics

Background:

• Raman spectroscopy is a key Process Analytical Technology (PAT) for monitoring monoclonal antibody (mAb) production.
• Traditional chemometric model development requires extensive data, which is challenging with expedited drug development timelines.
• Shortened timelines limit the data collection window for Raman applications in bioprocessing.

Purpose of the Study:

• To introduce and validate a Just-in-Time (JIT) strategy for rapid Raman model development.
• To reduce the time and data requirements for implementing Raman spectroscopy in mAb manufacturing.
• To ensure the effective application of Raman spectroscopy in accelerated biologics development.

Main Methods:

• Integration of Raman spectroscopy with online two-dimensional liquid chromatography (2D-LC) as a PAT system.
• Real-time chemometric modeling for antibody titer and aggregate percentage using Raman data.
• Dynamic updating of Raman models with newly acquired process data.
• Application of the JIT strategy to a continuous biologic manufacturing process.

Main Results:

• Adequate initial Raman models were established using limited data from lab-scale batches.
• Models were successfully updated in real-time during a scale-up batch, demonstrating adaptability.
• The JIT strategy effectively accelerated the development of Raman methods for process monitoring.
• Proof-of-concept study confirmed the feasibility of the JIT approach for expedited bioprocessing.

Conclusions:

• The Just-in-Time (JIT) strategy significantly reduces Raman model development time for mAb manufacturing.
• This approach supports the real-time monitoring and control of expedited biologics processes.
• JIT strategy enables faster implementation of PAT tools in pharmaceutical development, aligning with industry needs.