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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/4075

Title: State of Dispersion of Magnetic Nanoparticles in an Aqueous Medium: Experiments and Monte Carlo Simulation
Authors: KUMAR, S
RAVIKUMAR, C
BANDYOPADHYAYA, R
Keywords: iron-oxide nanoparticles
particles
Issue Date: 2010
Publisher: AMER CHEMICAL SOC
Citation: LANGMUIR, 26(23), 18320-18330
Abstract: Monte Carlo simulation results predicting the state of dispersion (single, dimer, trimer, and so on) of coatedsuperparamagnetic iron oxide (Fe(3)O(4)) nanoparticles in an aqueous medium are compared with our experimental data for the same. Measured values of the volume percentage of particles in the dispersion, core particle diameter, coating-shell thickness, grafting density of the coating agent, saturation magnetization, and zeta potential for the citric acid-coated and poly(acrylic acid) [PAA]-coated particles have been used in our simulation. The simulation was performed by calculating the total interaction potential between two nanoparticles as a function of their interparticle distance and applying a criterion for the two particles to aggregate, with the criterion being that the minimum depth of the secondary minima in the total interaction potential must be at least equal to k(B)T. Simulation results successfully predicted both experimental trends(-)aggregates for citric acid-coated particles and an individual isolated state for PAA-coated particles. We have also investigated how this state changes for both kind of coating agents by varying the particle volume percentage from 0.01 to 25%, the particle diameter from 2 to 19 nm, the shell thickness from 1 to 14 nm, and grafting density from 10(15) to 10(22) molecules/m(2). We find that the use of a lower shell thickness and a higher particle volume percentage leads to the formation of larger aggregates. The possible range of values of these four variables, which can be used experimentally to prepare a stable aqueous dispersion of isolated particles, is recommended on the basis of predictions from our simulation.
URI: http://dx.doi.org/10.1021/la1017196
http://dspace.library.iitb.ac.in/xmlui/handle/10054/4075
http://hdl.handle.net/10054/4075
ISSN: 0743-7463
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