Title: Interpreting the power spectral density of a fluctuating colloidal current

Abstract: The transport of molecules through biological and synthetic nanopores is governed by multiple stochastic processes that lead to noisy, fluctuating currents. Disentangling the characteristics of different noise-generating mechanisms is thus central to better understanding molecular transport at a fundamental level. Here, we study current noise experimentally at the single particle level by imaging colloidal particles driven through microfluidic channels by a difference in fluid pressure. In this scenario, currents fluctuate due to the random arrival times of particles into the channel and the distribution of particle speeds within the channel. We find that this results in a characteristic form of the power spectral density of the current, scaling as ~f^0, at low frequencies and ~1/f^2 at high frequencies. To rationalise these scalings, we extend a model for shot noise with a finite transit time, borrowed from electronic circuit theory, to include the experimental distribution of transit times and compare this model to the experimental spectra. We find excellent agreement between the data and model across a range of driving pressures within an advection-dominated regime, thereby establishing concrete links between the power spectra scalings and underlying mechanisms for this experimental system. This paves the way for establishing a more systematic understanding of the links between features of power spectra and underlying molecular mechanisms in driven systems.