Nanohydroxyapatite (n-HAp) as a pickering stabilizer in oil-in-water (O/W) emulsions: a stability study

• Tipo: Artigo em Revista Científica Internacional
• Data: 2020

Autores

Andreia Ribeiro (Autor) FEUP; Manrique, Y.A. (Autor) FEUP; Ferreira, ICFR (Autor) Outra; Barreiro, MF (Autor) Outra; Lopes, JCB (Autor) Outra; Madalena M. Dias (Autor) FEUP

Revista

Título: Journal of Dispersion Science and Technology

Páginas: 1-13

ISSN: 0193-2691

Editora: Taylor & Francis

Indexação

ISI Web of Knowledge - 7 Citações

Scopus - 5 Citações

Projetos Associados

LA LSRE-LCM - Financiamento Plurianual 2020-2023 para a Unidade LA LSRE-LCM Laboratório de Processos de Separação e Reacção - Laboratório de Catálise e Materiais

Outras Informações

ID Authenticus: P-00T-1Y8

DOI: 10.1080/01932691.2020.1845199

Abstract (EN): Surfactant-free emulsions, such as Pickering emulsions, have been gaining an increased interest. They constitute green alternatives to the current industrial practices in emulsion technology finding diverse technological uses. In this work, nano-hydroxyapatite (n-HAp) was tested as an oil-in-water (O/W) Pickering stabilizer using a chemical system comprising sunflower oil at different O/W ratios (10/90 to 60/40) and n-HAp at concentrations ranging from 0.5 to 15 wt%. The produced emulsions were characterized, and stability evaluated over a two-month period. Based on the results achieved for the 20/80 series, a model to predict the emulsion stability taking into account the O/W ratio, total solids content, droplet diameter, and n-HAp dimensions, was developed. Cryo-SEM evidenced the attachment of n-HAp particles at the oil surface (oil core-n-HAp shell morphology), corroborating their role as Pickering stabilizers. The experimental results, versus the predicted results were compared using a ternary phase diagram, which evidenced the formation of three zones (unstable, stable and gel) depending on the used O/W ratio and n-HAp concentration. Moreover, the comparison of the predicted with the obtained experimental data validated the model predictability.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 13