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Real-Time VCC Monitoring and Forecasting in HEK-Cell-Based rAAV Vector Production Using Capacitance Spectroscopy.

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Summary
This summary is machine-generated.

This study introduces real-time monitoring of viable cell concentration (VCC) in human embryonic kidney (HEK293) cell cultures for recombinant adeno-associated virus (rAAV) production. Inline capacitance probes and predictive models enable accurate VCC tracking and transfection time forecasting.

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Area of Science:

  • Biotechnology
  • Bioprocess Engineering
  • Cell Culture Technology

Background:

  • Robust cultivation of human embryonic kidney (HEK293) cells is critical for high-quality recombinant adeno-associated virus (rAAV) vector production.
  • Monitoring viable cell concentration (VCC) is essential for upstream process management and ensuring optimal viral vector yield.
  • Process Analytical Technology (PAT) tools, such as inline capacitance probes, offer real-time VCC measurement capabilities.

Purpose of the Study:

  • To develop and apply a method for real-time VCC monitoring in HEK293-based rAAV vector production.
  • To integrate inline capacitance probes and predictive models into a bioprocess control system.
  • To enable real-time forecasting of the optimal transfection time point.

Main Methods:

  • Utilized BioPAT Viamass capacitance probes to record data from 10 L rAAV-8 batches across a frequency range of 50 kHz-20 MHz.
  • Developed linear single-frequency and orthogonal partial least square (OPLS) multifrequency models for VCC prediction based on capacitance data.
  • Deployed predictive models inline and integrated predictions into BioPAT MFCS software for real-time monitoring and forecasting.

Main Results:

  • Successfully implemented inline capacitance probes for real-time VCC monitoring in HEK293 cell cultures.
  • Developed and validated both linear and OPLS models for accurate VCC prediction.
  • Integrated VCC monitoring with an exponential cell growth model for precise, real-time forecasting of the transfection time point.

Conclusions:

  • This work represents the first inline deployment of VCC and Time-Till-Transfection predictive models in a bioprocess control system for HEK-cell-based rAAV production.
  • Real-time monitoring and forecasting of VCC and transfection timing enhance process control and optimize viral vector production.
  • Inline capacitance technology offers a powerful PAT tool for improving the efficiency and quality of biopharmaceutical manufacturing.