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A Multivariate In-Line Optochemical Sensor Platform for Continuous Monitoring of Cross-Category Process Parameters and Product Attributes in Bioreactors

This project develops a multi-attribute inline optochemical sensor platform for continuous monitoring of bioreactors at all scales. This multiplexed fiber-optic sensor platform will monitor, glucose, DO and DCO.
Categories
Process control
Project status
100% Completed

Solution

Performance Period: 2/1/2020 to 7/31/2021

This project develops a multi-attribute inline optochemical sensor platform for continuous monitoring of bioreactors at all scales. This multiplexed fiber-optic sensor platform will monitor, for the first time, cross-category variables, such as metabolites (e.g., glucose), dissolved O2 (DO) or dissolved CO2 (DCO). This technology will shorten conventional analytical tests for bioreactors from multiple days to real-time, which is a critical step toward ultimate closed feedback control loops that enable continuous and adaptable manufacturing.

Impacts

Multi-attribute in-line sensing of upstream process variables such as glucose, DO and DCO.

Reduce batch time from multiple weeks to several days.

Low cost optical fiber-coupled hydrogel sensor scalable to small and large scale bioreactors.

Publications

Hetzler, Z., Wang, Y., Krafft, D., Jamalzadegan, S., Overton, L., Kudenov, M. W., Ligler, F. S., & Wei, Q. (2022). Flexible sensor patch for continuous carbon dioxide monitoring. Frontiers in Chemistry, 10, 983523. https://doi.org/10.3389/fchem.2022.983523

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Project Lead

North Carolina State University

North Carolina State University

Participating Organizations

MilliporeSigma/EMD Serono

MilliporeSigma/EMD Serono

Pfizer, Inc.

Pfizer, Inc.