Model-guided stabilization strategies for creatine in food systems
Advanced predictive modeling strategy to enhance creatine stability in food and beverage systems, optimizing formulations through in silico screening and targeted validation, reducing development time and cost.
Overview
This innovative solution utilizes a science-based, predictive formulation strategy to enhance the stability of creatine in food and beverage systems. By employing in silico thermodynamic modeling, the approach systematically screens Generally Recognized As Safe (GRAS) excipients and matrix components. This process identifies optimal formulation spaces to stabilize creatine by controlling moisture interactions, phase behavior, and molecular compatibility, minimizing trial-and-error in development.
Technical specifications
Key features:
- In silico screening: Utilizes advanced thermodynamic predictive modeling to map interactions between creatine and candidate excipients, optimizing formulation strategies.
- Targeted validation: Promising formulations undergo experimental validation under relevant processing and storage conditions, ensuring stability and manufacturability.
- Efficient development: Reduces the number of required experiments, accelerating development while cutting costs and minimizing uncertainty.
Technology readiness level
The solution is at Technology Readiness Level 6, having undergone thorough validation under controlled conditions, and is preparing for shelf-life prediction and scale-up strategies, including pilot trials for scaling routes such as spray drying, extrusion, and granulation.
About amofor GmbH
amofor GmbH is a German biotechnology and pharmaceutical services company that provides in-silico drug formulation development and proprietary software tools. Founded as a spin-off from TU Dortmund University, the company utilizes physical chemistry and thermodynamic modeling—specifically the PC-SAFT framework—to predict the physical stability of active compounds. Their offerings include digital formulation services for amorphous solid dispersions, salt forms, and cocrystals, alongside their flagship software, SolCalc. By applying physics-based computational models, amofor enables researchers to screen excipients and determine optimal manufacturing methods, such as spray drying or hot-melt extrusion, before physical experiments begin.
This methodology is designed to replace traditional trial-and-error approaches in pharmaceutical development, helping clients reduce lab time and material costs while increasing development efficiency. By providing both specialized software and expert consulting, amofor addresses critical challenges in drug stability and bioavailability. The company serves the pharmaceutical, agrochemical, and life science sectors, aiming to streamline the transition from early-stage conceptualization to market-ready products with scientifically rigorous, predictive modeling. Their expertise in thermodynamics assists developers in managing complex mixtures and optimizing the long-term performance of formulated molecules.
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