Demonstrates efficient monoclonal antibody production in lab-scale smart manufacturing, suggesting effective integration for future scalability.
Continuous bioprocessing has shown promise for efficiently scaling production of monoclonal antibodies for biotherapeutic production. Integrating process analytical technologies at the lab-scale stage improves the reliability of results during development and the translation of the system during scale-up. Smart Manufacturing provides a framework for implementing process analytical technologies at all process scales by leveraging modern hardware, software, and techniques. Demonstration of scaling and retrofitting a legacy system into a smart manufacturing system for the continuous downstream processing of monoclonal antibodies at the lab-scale was achieved through modular and flexible controller hardware, Industrial Internet-of-Things architecture, interoperable OPC-UA servers, and cloud computing on the Smart Manufacturing Interoperability Platform. The system consisted of lab-scale equipment connected to a legacy control device with limited operation and I/O. A new system of hardware was implemented that interfaced with the legacy equipment while also providing scalability, reconfigurability, and controllability. Peristaltic pumps, weigh-scales, single-use pressure sensors, and optical sensors were connected to edge devices which bridged the hardware and software used for process monitoring and control. Lab-scale implementation and operation challenges such as connecting multiple vendor systems and inconsistent pump flowrates were addressed. Water-based pump flowrate control tests were performed on the legacy equipment with readiness for deployment onto the smart manufacturing system. The techniques used include a Kalman Filter, steady-state data reconciliation, and closed-loop control based on scale measurements.
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Rebmann et al. (2026) studied this question.
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