A Sobol analysis was run using the ranges in Table and Saltelli sampling with the SALib package in Python to calculate a sensitivity ranking. Sobol analysis decomposes the variance observed in output values into that explained by each (combination of) input variable(s). It is a method especially suited for highly nonlinear systems like adsorption processes. Sobol indices represent how much an input's variance contributes to an output's variance. Total order Sobol indices report this, including all interactions between the input and all other inputs being varied. In comparison, first-order Sobol indices Email: jpy1@hw.ac.uk RCCS, Heriot-Watt University exclude all interactions with other inputs. Finally, second-order Sobol indices consider just the interactions between the input parameter and each other parameter alone.