Fast protein translocations often
lead to bandwidth-limited amplitude-attenuated
event signatures. In this study, we developed a protein- and electrolyte
chemistry-centric pathway to construct a readily executable decision
tree for the detection of non-attenuated protein translocations using
conventional electronics. Each optimization encompasses increasing
capture rate (C
R), signal-to-noise ratio
(SNR), and minimizing irreversible analyte clogging to collect >104 events/pipette spanning a host of electric fields. This was
demonstrated using 11 proteins ranging from ∼12 kDa to ∼720
kDa. Moreover, both symmetric and asymmetric electrolyte conditions
(cis and trans chamber electrolyte
concentration ratios <
> 1) were explored. As a result, asymmetric electrolyte
conditions
were favorable on the extreme ends of the size spectrum (i.e., larger,
and smaller proteins) and while the remainder of proteins were best
sensed under symmetric electrolyte conditions. Under these optimal
conditions, only ≲10% of events were attenuated at 500 mV (≲
5% for most proteins at 500 mV with only ≲1–5% of the
population faster than ∼7 μs, which is the theoretical
attenuation threshold for 100 kHz bandwidth). Finally, applied voltage
(V
app), peak current drop (ΔI
p), electrolyte conductivity (K), and open-pore conductance (G
0) were
used to generate a linear relationship to evaluate the molecular weight
of the protein (M
w) using plots of (dΔI
p)/(dV
app) vs M
w/(G
0/K).