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A multisensor array for visualizing continuous state transitions in biopharmaceutical processes using principal

C F Mandenius1, A Hagman, F Dunås

  • 1Laboratory of Applied Physics, Linköping University, Sweden. cfm@ifm.liu.se

Biosensors & Bioelectronics
|May 23, 1998
PubMed
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A multisensor array monitors biopharmaceutical processes by analyzing gas sensor patterns. This method visualizes growth and production states in real-time for improved bioprocess control.

Area of Science:

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

Background:

  • Biopharmaceutical production requires continuous monitoring of growth and production states.
  • Traditional monitoring methods can be complex and time-consuming.
  • Real-time, characteristic response patterns are crucial for effective bioprocess management.

Purpose of the Study:

  • To evaluate a multisensor array for real-time monitoring of biopharmaceutical processes.
  • To assess the capability of principal component analysis (PCA) in visualizing bioprocess states.
  • To demonstrate the application of this technology in recombinant protein production.

Main Methods:

  • Utilized an array of semiconductor and optical gas sensors connected to a bioreactor's headspace effluent.

Related Experiment Videos

  • Collected continuous response data from the sensor array during bioprocesses.
  • Applied principal component analysis (PCA) for multivariate analysis of sensor data patterns.

    • Main Results:

    • The multisensor array generated distinct response patterns correlating with different bioprocess states.
    • PCA successfully visualized characteristic transitions during growth and production phases.
    • The system effectively monitored recombinant human growth hormone production in E. coli and human factor VIII in CHO cells.

    Conclusions:

    • A multisensor array coupled with PCA provides an effective tool for real-time bioprocess monitoring.
    • This approach enables clear visualization of critical bioprocess transitions.
    • The technology holds promise for enhancing control and optimization in biopharmaceutical manufacturing.