Generalized moisture diffusivity for food drying through multiscale modeling

Drying plant-based food materials can be time consuming and energy intensive, making optimization of its processes essential. However, current mathematical models are plagued with condition-dependent diffusivities restricting their performance in developing optimal drying strategies. Multiscale modeling is one technique which can help transition towards a more physics-based approach, improving model's predictive capabilities. This research constructs a multiscale food drying model utilizing a generalized moisture diffusivity to investigate its predictive capabilities. The study investigates two food materials (apple and potato) convective drying at two different temperatures (47 degrees C and 64 degrees C). Additionally, to be able to utilize the generalized diffusivity, cell rupturing must be considered. Therefore, a theoretical rupturing threshold was developed exploiting the equi-librium vapor pressure to recognize which transport mechanisms were occurring. The generalized diffusivity was able to distinguish between the two materials and was able to describe the experimental data accurately at both drying temperatures. The generalized property resulted in diffusivities with the range of 1.94 x 10-10-5.14 x 10- 10 m2/s.

Automated summary

This research constructs a multiscale food drying model utilizing a generalized moisture diffusivity and investigates its predictive capabilities. The study finds that the generalized diffusivity accurately describes the experimental data at different drying temperatures.