Investigation of the influence which material parameters have on the signal-to-noise ratio of nanoparticles

Signal-to-noise ratio is an essential characteristic of a nanoparticle as a signal-processing device. In this paper we evaluate experimentally, at room temperature, the relevant magnetic parameters of manganese ferrite nanoparticles in a colloidal suspension by combined means of AC complex susceptibility measurements, profile fitting and polarised magnetic field measurements. Using the obtained values we estimate the SNR for the manganese ferrite nanoparticles.