The presented model gives an insight into the distribution of components with respect to protein stabilization during spray drying. Furthermore, the model can easily be adapted to suit other needs and change components. However, the method strongly depends on the use of reliable diffusion coefficient data and Gordon-Taylor coefficients, which are vital for accurate predictions of the component distribution inside the dried particle. Especially for multi-component mixtures, this can become quite complex. Therefore, at a later stage, a welcome addition would be the use of molecular dynamics models to predict the interaction between different solutes and water, and couple these to the model of a drying droplet.
Furthermore, a better understanding of the morphology changes and the mass transfer during the second stage is welcomed, to further improve the accuracy of predictions in this region. However, it was shown that for protein stabilization, the most important factor is the distribution of the components inside the droplet, which is mainly determined during the first drying stage. Even with the fast and slow drying during the second stage that was considered in this study, the difference in the predicted effect on protein encapsulation was minor.