Computational platform for optimizing psyllium hydration and viscosity
A physics-informed computational platform that uses molecular modeling, statistical mechanics, and machine learning to optimize psyllium hydration and viscosity, delaying gel formation while preserving functional benefits.
Overview
This solution presents a cutting-edge computational platform designed to optimize the hydration, viscosity, and gelation processes of psyllium products. By integrating molecular modeling, statistical mechanics, and machine learning, the platform identifies strategies to delay hydration and maintain low viscosity, thereby enhancing the drinkability of psyllium-based solutions. This approach facilitates the rapid identification of effective excipients, coatings, and processing modifications, reducing reliance on traditional trial-and-error methods and accelerating product development.
Technical specifications
Key features:
- Physics-informed computational framework combining molecular modeling and machine learning
- Predictive models that relate composition and material properties to hydration kinetics and viscosity development
- Ability to screen and rank candidate excipients and coatings
- Collaboration with industry partners for validation through hydration, viscosity, gelation, and sensory measurements
Technology readiness level
The technology is currently at TRL 3, reflecting experimental proof of concept. Ongoing collaboration with industry partners is set to further validate and refine the platform, moving towards practical applications and commercial viability.
About University of Massachusetts Lowell
UMass Lowell is a comprehensive public research university in the University of Massachusetts system, known for hands-on, industry-aligned education. Industry partners engage through open-access core research facilities and pilot-scale labs for prototyping and scale-up, supported by staff for contract services. A robust co-op program connects companies with student and faculty talent, while incubator and coworking sites near campus offer labs and flexible space. Research is supported by competitive federal funding from agencies such as the National Science Foundation, National Institutes of Health, Department of Energy, and Department of Defense. A dedicated technology transfer office supports IP, licensing, sponsored research, and startup formation to streamline commercialization.
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