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      Pickering emulsions stabilized with differently charged particles

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          Abstract

          Pickering emulsions prepared with mixed anionic and cationic particles: the coverage is controlled by kinetics of particle adsorption.

          Abstract

          For addressing health issues and ecological concerns, the cosmetic and pharmaceutical industries are facing the challenge of designing emulsions without the use of surfactants. Emulsions stabilized by colloidal particles, known as Pickering emulsions, are promising in this matter. In this article, three different types of particles (neutral, anionic and cationic) are used alone or in binary mixtures as stabilizers of Pickering emulsions. The influence of the particles’ charge on the emulsions’ properties and the synergies between the different types of particles are studied. It is demonstrated that the kinetics of adsorption of the particles at the water/oil interface control the coverage and their organization at the droplet surface, rather than their interactions after adsorption. Binary mixtures of differently charged particles are a powerful way to control the droplet coverage and the particle loading in the emulsions. In particular, the combination of anionic and cationic particles led to smaller droplets and higher particle coverage of emulsion droplets.

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          Most cited references41

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          Emulsions stabilized with solid nanoparticles: Pickering emulsions

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            Limits of the fractal dimension for irreversible kinetic aggregation of gold colloids.

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              Charging of Oil−Water Interfaces Due to Spontaneous Adsorption of Hydroxyl Ions

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                Author and article information

                Contributors
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                Journal
                SMOABF
                Soft Matter
                Soft Matter
                Royal Society of Chemistry (RSC)
                1744-683X
                1744-6848
                June 28 2023
                2023
                : 19
                : 25
                : 4780-4793
                Affiliations
                [1 ]Université de Lyon, Université Claude Bernard Lyon 1, CNRS UMR 5007, Laboratoire d'Automatique, de Génie des Procédés et de Génie Pharmaceutique (LAGEPP), 43 bd du 11 Novembre 1918, 69622, Villeurbanne, France
                Article
                10.1039/D3SM00305A
                b2e3c597-362f-4b3f-a310-c18aae94d96c
                © 2023

                http://rsc.li/journals-terms-of-use

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