Research-based solution for optimizing extrusion parameters to tailor the chemistry, structure, and functionality of plant protein ingredients for specific food applications. Combines predictive modeling, response surface methodology, and detailed characterization to deliver extrudates with targeted texture, solubility, emulsifying capacity, and sensory attributes.
This offering addresses a critical challenge in the growing plant-based food market: predicting and controlling how plant protein and starch ingredients behave during extrusion processing. Extrusion is a widely used high-temperature, high-shear manufacturing technique that transforms protein and starch materials into structured products with specific textures and functional properties. However, the complexity of plant protein sources makes it difficult to predict extrudate behavior without extensive experimentation.
The solution applies systematic optimization of extrusion parameters, including screw speed, screw configuration, extrusion temperature, and feed moisture, combined with strategic ingredient combinations. By developing predictive kinetics models and applying response surface methodology, the approach enables food manufacturers and ingredient developers to efficiently identify processing conditions that yield extrudates with desired functionality for targeted food applications.
Core research capabilities:
Key functional outputs measured:
The research team has an extensive publication record in plant protein phase behavior during extrusion texturization, rheology of concentrated starch hydrolysates, and mathematical modeling of protein modifications through novel food process technologies. Published expertise in response surface modeling supports process optimization work. Prior work has identified and measured changes in aroma components and flavor attributes across various plant protein sources under different process conditions. Future validation will involve collaboration with industry partners to select plant protein sources, evaluate functional properties, develop predictive kinetics models, and optimize extrusion conditions for specific food applications. The approach is positioned for sponsored research collaboration with food industry partners seeking to develop or improve plant-based protein products.
The University of Minnesota is a flagship, comprehensive public research university spanning multiple campuses, with a large research enterprise and clinical integration. Industry engages through co-located labs on the Twin Cities campuses, access to an academic health system for clinical translation, and pilot and field-testing facilities that speed scale-up. A statewide extension network and outreach centers provide real-world sites and data partnerships across Minnesota, while proximity to a dense medtech and Fortune 500 corridor enables frequent collaboration. Research is supported by competitive federal funding, including NIH, NSF, DOE, USDA, and DoD. A dedicated technology transfer office manages IP, licensing, sponsored research agreements, and startup incubation to speed commercialization.