New setup to control and monitor bioprocess.
A research initiative focused on algal biomass addresses the challenge of identifying growth phases and immobilizing cells in gel.
Cultivating algae under controlled laboratory conditions is a critical step in this effort, as it ensures reproducibility, viability, and precise monitoring of physiological states. These controlled cultures can then be integrated into hydrogels for 3D bioprinting, enabling controlled oxygen release for biomedical applications. Additionally, the project requires an integrated set of equipment and software to monitor and control gas flow and maintain continuous parameter tracking.
We provided a comprehensive setup to run and optimize process, tracking parameters like pH, dissolved oxygen, and CO₂ and ensuring optimal conditions for both algal growth and productivity.
- QB Edge control unit
Providing power and data connection to devices - QB PUMP
Precise control of fluid flow - QB LIGHT
Adjustable lighting control for optimal process settings. - QB MULTISENSOR
- Real-time data collection from up to 6 sensors (e.g. pH, Temperature).
- QB GASFLOW Ensures precise gas flow, optimizes performance, and enables real-time performance.
Dynamic P&ID
- Graphs and report management
Remote Access
streamlines workflows, maintains data integrity, and accelerates research.
Optimizing algal bioprocesses requires much more than just the right equipment - it takes total integration of data, monitoring, and automation. With this project, our team leveraged QB Control to deliver a smart, efficient platform that makes predictive optimization not only possible, but intuitive for researchers. Witnessing faster delivery times and achieving reliable process outcomes for such complex biological systems is a huge step forward for both sustainability and scientific innovation.
Kinga Surmacz
The integrated algae bioprocess optimization platform was successfully deployed in just three months, empowering researchers to precisely track critical growth parameters—including pH, dissolved oxygen, and CO₂—in real time. The QB Control system enabled predictive bioprocess optimization, accelerating experimental cycles by 30% and significantly improving reproducibility. By eliminating reliance on costly proprietary solutions, the project achieved a 45% cost reduction compared to alternative market offerings, delivering a powerful, scalable foundation for cutting-edge biomaterial research and sustainable biomedical applications.
Months to develop and implement entire solution
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Predictive bioprocess optimization
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Lower cost compared to other market solution
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Let’s discuss your specific needs and find the right fit.