Data-driven modeling for optimizing protein properties in extruded snacks
A data-driven modeling approach to optimize protein-rich extruded snack formulations by predicting functional properties based on formula composition, protein-protein interactions, and processing conditions, enabling development teams to maximize protein content while maintaining extrudability.
Overview
This research program develops data-driven models to predict and optimize the functional properties of protein-rich extruded snacks. By systematically evaluating surface activity and hydrodynamics of proteins under controlled extrusion conditions, the team aims to identify the threshold at which protein content compromises extrudability and to build predictive models that guide formulation decisions. The work addresses a critical challenge in the high-protein snack market: balancing nutritional protein content with the physical processing requirements of extrusion.
The research brings together expertise in protein chemistry, extrusion processing, sensory science, and computational modeling to create practical tools for product development teams. By understanding how protein-protein interactions and processing parameters influence final product attributes, manufacturers can accelerate formulation development and reduce trial-and-error in pilot testing.
Technical specifications
Research approach:
- Controlled evaluation of protein surface activity and hydrodynamics during extrusion
- Systematic testing of protein-rich snack formulas on a Wenger TX57 pilot-scale extruder
- Analysis of protein-protein interactions and their effect on extrudability and product attributes
- Development of predictive models linking formula inputs, extruder settings, and process conditions to product outcomes
- Analytical chemistry evaluation of extrusion samples for physicochemical and organoleptic characteristics
- Optional sensory evaluation of select formulations
Key capabilities:
- Pilot-scale processing in 50-pound batches, with 10-20 batches per day
- Analytical chemistry laboratory for attribute quantification
- Sensory testing facilities for organoleptic evaluation
- Advanced computing resources for data-driven modeling
- Nearly 40 years of food industry service experience with the pilot extruder
- Two decades of extrusion testing across diverse protein sources and formulations
Technology readiness level
The research is at an early-to-mid stage of development. The pilot extruder, analytical labs, and modeling infrastructure are fully operational and have been validated through extensive prior use. Future work involves conducting pilot-scale extrusion trials in collaboration with industry partners, collecting systematic data across protein types and levels, and building the predictive model. Validation will proceed iteratively as sufficient data is gathered, with the goal of producing a robust model capable of guiding formulation optimization for commercial snack production.
About University of Nebraska, Lincoln
The University of Nebraska–Lincoln is a comprehensive public research university and the flagship campus of the University of Nebraska system, combining land-grant reach with a collaborative, industry-engaged culture. A research and technology park adjacent to campus provides modern wet and dry labs, greenhouses, offices, and conferencing, enabling companies to co-locate with faculty and access shared equipment and pilot environments. A statewide extension network links university expertise with producers and communities, creating rapid pathways for field trials, demonstrations, and workforce pipelines. Research is supported by competitive federal funding from NSF, USDA, DOE, and NIH. A dedicated technology transfer office manages IP, licensing, agreements, and startup formation with industry-friendly terms.
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