for the various iron oxide nanoparticle samples synthesized using varying ligand fields leads to a distinct picture of the variation in the diameter distribution of the nanoparticles. This is due to the different behaviour of the additives in the solution during system evolution, i.e., seed formation, crystal growth and Ostwald ripening stage of the nanoparticle. This can be understood in light of the fact (Fig. ) that in iron oxide synthesis, D90, the distribution pattern of 90% of the nanoparticles in each sample shows the highest particle diameter for Fe-BH and the lowest particle diameter for Fe-MC. This is much expected because of the absence of a capping agent, which allows unrestrained crystal growth in the case of Fe-AH and Fe-BH, whereas effective capping ability taped this growth by minimizing the surface free energy (ΔG) in the case of surfactants. Nevertheless, the overall control over particle size diameter remains similar for FeCT, FeMC, and FePM as indicated by the mean distribution of NPs (Fig. red curve line). Thus, it shows the competitive capping ability of PM-based ligands. The modal distribution of NPs, the D10 distribution pattern of 10% of nanoparticles in each sample) can be ascribed to the mixing error or handling error.