The entire screening dataset of 77 points was then fitted using MATLAB to a three-dimensional polynomial equation. The raw data and the fit is shown in Figure . The l.h.s. of the figure shows the full parameter space mapping for 1mg/mL concentration of the polymer in organic solution. The plot confirms the observations from the reproducibility tests. The smallest particles are obtained at the highest f tot and the largest θ water , while the largest particles of up to 500 nm are obtained at equally high flow rates, but lowest water content. A variation of the polymer concentration, however, reveals that the situation is much more complex. At 5 mg/mL (r.h.s of Figure ), particle that can be obtained go up to over 1000 nm, showing a much greater variability of the system. Also, at the higher concentration, the smallest particles are found at the lowest flow rate. Regardless, using these two concentrations and the previously described boundaries for flow rate and water content, it is evident that the system tends to form particles between 100 and 200nm, but that synthesis of aggregates up to 1000 nm is absolutely possible. By itself, this underpins nicely what variability can be achieved with kinetic trapping. On the other side, it also signifies how complex the dependencies in the synthesis are between the synthesis parameters and that the outcome of an experiment can not easily be predicted.