In this project, I aim to enable the real-time monitoring of recombinant carbonic anhydrase (rCA; CA-GFP (Green Fluorescent Protein)) production in an auto-inducing fermentation platform, using PAT (Process Analytical Technology) principles. PAT is a popular industry framework for on-line monitoring and control of bioprocesses to boost productivity and product quality. I build on existing bioreactor measurements of temperature, dissolved oxygen, and pH, by using GFP fluorescence as a proxy for rCA expression and activity. I will correlate this signal with enzyme performance to improve CO2 mineralization efficiency, ensure consistent rCA quality, and establish a scalable method for automated industrial bioprocessing.

I am participating in this SuperUROP to deepen my experience in bioprocess engineering and strengthen my ability to connect research with real industrial applications. My background in chemical-biological engineering and prior UROP work with fermentation prepared me to take this on, and I am excited to learn how to implement continuous monitoring strategies that can make biomanufacturing more efficient and scalable.