Matrix characteristic based predictive modelling of acidification kinetics
A predictive modelling solution for acidification kinetics using matrix characteristics and integrated diffusion-absorption equations, validated with MATLAB modules for brine acidification.
Overview
This solution offers a predictive modelling system for understanding acidification kinetics in food matrices, specifically focusing on the interactions between acids and vegetable/meat matrices. By utilizing quantitative structure-property relationships, the model accurately predicts how acids diffuse and bind within these matrices, enhancing the precision of brine acidification processes. This technology is particularly beneficial for industries involved in food preservation and flavor enhancement, providing a scientific basis for optimizing acidification protocols.
Technical specifications
The model leverages integrated diffusion-absorption equations to account for both diffusion through the matrix pores and absorption by the matrix. This dual consideration allows for a more accurate depiction of acidification kinetics. The technology includes:
- Development of MATLAB modules to simulate acid diffusion and absorption.
- Utilization of quantitative relationships linking acid diffusivity and absorption to matrix properties like porosity and water activity.
- Modules tailored for various shapes and dimensions of food matrices under typical process conditions.
Technology readiness level
This modelling technology is at a Technology Readiness Level (TRL) 6, indicating that it has been demonstrated in a relevant environment. The solution has undergone initial validation and is ready for further testing and demonstration with industry partners.
About University of Surrey
The University of Surrey is a comprehensive public research university in Guildford, known for an applied, industry‑engaged culture and extensive professional placements. An adjacent research and technology park hosts more than 100 companies, providing co‑located labs, shared facilities, and flexible space for corporate R&D alongside faculty groups. Campus testbeds for next‑generation communications and other mission‑critical systems enable joint prototyping, while partnerships with regional NHS organizations support clinical studies and translation. Research is supported by competitive funding from UKRI and Innovate UK, with further awards from NIHR and European programs; a dedicated technology transfer office manages IP, licensing, and spinout formation.
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