A scalable process platform that fractionates egg-derived feedstocks into compositionally distinct protein and peptide ingredients with application-relevant functional properties, using food-compatible unit operations and systematic microscale screening for rapid optimization.
Defined Bioscience is applying its NSF-funded protein isolate discovery and optimization platform to egg-derived feedstocks. The platform adapts established, food-compatible unit operations—including solubilization and precipitation, filtration or membrane separation, and selective enzymatic hydrolysis—to generate compositionally distinct protein and peptide fractions from a single egg feedstock.
The goal is a flexible, scalable process capable of producing multiple differentiated ingredient streams, each optimized for specific food-relevant functional properties such as solubility, emulsification, foaming, or gelling. Rather than relying on trial-and-error, the approach uses systematic microscale screening to rapidly compare processing variables and identify combinations that yield meaningful ingredient differentiation.
The workflow builds on a transferable framework established under a prior NSF Small Business Innovation Research award, covering fraction generation, candidate screening, process optimization, protein characterization, and scale-up. Key elements include:
Deliverables include fractionation protocols, comparative performance data, prioritized ingredient streams, and a scalable process development roadmap that addresses manufacturability, reproducibility, and yield.
The platform has been validated through prior NSF-funded work using plant-derived protein isolates, where it established a proven framework for fraction generation, screening, and scale-up. Application to egg-derived feedstocks is currently at the early development stage: the first phase will establish a microscale screening matrix and characterize candidate fractions for composition, recovery, and functional properties. Promising conditions will then be reproduced at bench scale, followed by process refinement and a pilot-scale translation plan developed with appropriate processing partners.