Development of generic metabolic Raman calibration models using solution titration in aqueous phase and data augmentation for in-line cell culture analysis.

Zhijun Zhang, Zhe Lang, Gong Chen, Hang Zhou, Weichang Zhou

July 2024 Biotechnol Bioeng

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Abstract Synopsis

  • This study introduces a new method for creating flexible Raman calibration models for monitoring glucose and lactate in cell cultures by using solution titration and data augmentation techniques, making the process more robust and adaptable.
  • The researchers successfully set up a titration procedure where glucose or lactate solutions were added at different rates to a bioreactor, allowing them to calculate and interpolate concentrations for model training, which improved the accuracy of the predictions.
  • The developed models demonstrated high prediction accuracy across various culture scales and modes, with low errors, indicating that this approach could significantly reduce costs and improve real-time monitoring of metabolites in bioprocesses.]