4.6 Article

Amphiphilic interaction-mediated ordering of nanoparticles in Pickering emulsion droplets

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SOFT MATTER
卷 19, 期 21, 页码 3953-3965

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ROYAL SOC CHEMISTRY
DOI: 10.1039/d2sm01544g

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In this study, the role of amphiphilic interactions between hydrophilic silica nanoparticles and the Pluronic F127 tri-block co-polymer in the formation of a stable Pickering emulsion was investigated using small-angle X-ray scattering. Highly organized silica nanoparticles at the oil-water interface were observed, which deviated from the standard raspberry structural model. A plausible formation mechanism for the observed high on-surface silica correlation in the Pickering emulsion was proposed based on the combined interactions of the block co-polymer and silica particles.
For various industrial processes, the stabilization of an oil phase is crucial and demands a proper balance of complex interactions in an emulsion system. In Pickering emulsions, this is achieved by introducing nanoparticles, which become organized at the oil-water interface. The influence of interparticle interactions towards the formation of a stable emulsion and the ordering of the stabilizing nanoparticles is intriguing and needs attention. In this work, the role of amphiphilic interactions between hydrophilic silica nanoparticles and the Pluronic F127 tri-block co-polymer towards the spontaneous formation of a fairly stable Pickering emulsion has been studied using small-angle X-ray scattering. Unlike the usual random arrangements of the nanoparticles in a conventional Pickering emulsion, we observed highly organized silica nanoparticles at the oil-water interface. The established standard raspberry structural model of the Pickering emulsion fails to explain such strong ordering as observed in the present case. A plausible formation mechanism of the present Pickering emulsion with a high on-surface silica correlation is elucidated on the basis of the combined interactions of the block co-polymer and silica particles. A computer model is developed to elucidate the effects of size and distribution of the surface-decorating nanoparticles and their positional correlation.

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