Nowadays, supercritical CO 2 extraction is highly regarded in industry, and several studies dealing with scale-up calculations aim to facilitate the transition from small scale to large scale. To complete this transition, it would be interesting to be able to predict supercritical CO 2 extraction kinetics, which is the aim of this work. A new methodology based on the association of Sovová's broken and intact cell model and response surface methodology was developed to predict SC-CO 2 extraction kinetics from different biomass (Argan kernels, evening primrose, Punica granatum, Camellia sinensis, and dry paprika) at different operating conditions (200-700 bar, 40-60 • C, 0.14-10 kg/h) inside an operating domain. The absolute average relative deviations between the experimental and predicted data ranged from 1.86 to 29.03%, showing satisfactory reliability of this new methodology.