2004
DOI: 10.1021/ja0456252
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Direct Imaging of Zero-Field Dipolar Structures in Colloidal Dispersions of Synthetic Magnetite

Abstract: Magnetite (Fe3O4) forms the basis of most dispersions studied in the field of magnetic fluids and magnetic colloids. Despite extensive theory and simulations on chain formation in dipolar fluids in zero field, such structures have not yet been imaged in laboratory-made magnetite dispersions. Here, we present the first direct observation of dipolar chain formation in zero field in a ferrofluid containing the largest synthetic single-domain magnetite particles studied so far. To our knowledge, this is the only f… Show more

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Cited by 199 publications
(227 citation statements)
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“…1). Line broadening in X-ray diffraction patterns agrees with the particle diameter obtained from TEM, indicating that the particles are single crystals [5]. The magnetic diameter (6.0 nm) calculated from magnetization curves agrees with the physical diameter [14], indicating that the particles have a single magnetic domain [5].…”
Section: Methodssupporting
confidence: 73%
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“…1). Line broadening in X-ray diffraction patterns agrees with the particle diameter obtained from TEM, indicating that the particles are single crystals [5]. The magnetic diameter (6.0 nm) calculated from magnetization curves agrees with the physical diameter [14], indicating that the particles have a single magnetic domain [5].…”
Section: Methodssupporting
confidence: 73%
“…A sterically stabilized colloidal dispersion of magnetite nanoparticles in cyclohexane was prepared according to a procedure previously described [4,5]. In this procedure, magnetite nanoparticles are synthesized in 20 mL phenyl ether by reduction of iron(III) acetylacetonate using 1,2-hexadecanediol.…”
Section: Methodsmentioning
confidence: 99%
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“…The imaged structures strongly resemble the magnetic dipolar structures that have been observed recently in colloidal iron and magnetite dispersions. 13,14 As a first quantification of the imaged dipolar structures, we calculated the radial distribution function g(r), defined as:…”
mentioning
confidence: 99%