Figure shows a log-scaled plot of C310 and C350 values obtained for each of the 60 e-liquid samples. Fitting of a power function (black line) through the unaltered e-liquid data provides a means to calculate predicted C350 background values (C350Pred) for a given C310 reading. Upon measurement of deposited e-liquid on-filter, C350 values recorded over C350Pred will cause the device to indicate for presence of SCs. We have empirically adjusted scaling of the power function through unaltered e-liquid data to give a ~5% false positive rate, as shown by the grey dotted line. We note the superiority of incorporating both C310 and C350 PD responses into a numerical model over relying on absolute magnitude chance in C350 to detect presence of SCs. As mentioned above, SC emission is differentially quenched in a range of e-liquids, however this model allows for dynamic background prediction of e-liquid measured, to provide a sensitive means of SC detection. Figure shows .