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In antiferromagnetic nanoparticles magnetization the linear component,$\chi_{AF}$H superposed to the saturation one usually complicates the fit ofexperimental data. We present a method based on scaling laws to determine thevariation of $\chi_{AF}$ with temperature and to find the temperaturedependence of the average magnetic moment $<\mu>$, without any assumption onboth the magnetization dependence on field or the moment distribution function,whose relevance can also be estimated. We have applied this method to ferritinand found that $<\mu>$ decreases with increasing temperature and that adistribution function cannot be ignored. The fit with Langevin magnetizationlaw and lognormal moment distribution functions yielded parameters close tothose estimated with the scaling method. We also show that in general if thedistribution is ignored, and a single particle moment $\mu_p$ is used, $\mu_p$presents an artificial systematic increase with temperature. This calls theattention to the necessity of evaluating the effect of a size distributionbefore concluding about the physical nature of the parameters variation.Comment: Submitted to Phys. Rev.

physical review. b, condensed matter and materials physics

Relevance of magnetic moment distribution and scaling law methods to study the magnetic behavior of antiferromagnetic nanoparticles: Application to ferritin