Optimization of <i>Pickering</i> Emulsions Containing Andiroba Oil ( <i>Carapa guianensis</i> Aubl): Physicochemical Characterization, Experimental Approach, and Rheological Behavior for Topical Use

Amazonian vegetable oils, due to their medicinal properties, have become essential raw materials in the development of pharmaceutical and cosmetic products, with andiroba oil (<i>Carapa guianensis</i> Aubl.) standing out. Classical emulsions, which use conventional emulsifiers, often present stability limitations. In this context, <i>Pickering</i> emulsions stabilized by solid particles emerge as a promising alternative. This study aimed to characterize and optimize <i>Pickering</i> emulsions containing andiroba oil and magnesium aluminum silicate (Veegum). The physicochemical characterization of the oil was performed according to the guidelines of the <i>American Oil Chemists' Society</i>. X-ray diffraction (XRD), size, polydispersity index (PDI) and zeta potential (ZP) analyses of Veegum were performed. For optimization, a Rotational Central Composite Design (RCCD) was used, with analysis of variance (ANOVA) to evaluate the significance of the variables. The results showed that the oil had an acidity index of 8.90 ± 0.13 mequiv KOH·g<sup>-1</sup> and a saponification index of 194 mg KOH/g, indicating the presence of beneficial fatty acids. Fourier transform infrared (FT-IR) analyses confirmed characteristic functional groups. Regarding the XRD of Veegum, peaks characteristic of clay was found, with emphasis on 19.45; 21.68; 25.27°, suggestive of the interlamellar space of the material. For the particle size, a value equal to 1299 nm ± 0.04 was obtained with a PDI of 0.672 ± 0.3, suggestive of aggregation and with a ZP of -38 mV ± 0.02, consistent with the silanol groups of Veegum, which favors the formation of stable dispersions. Out of the 19 initial formulations, three were selected, with emulsion 22 standing out due to its ZP of -40.5 ± 0.8 mV, creaming index of 0%, and pH of 7.45 ± 0.72, suitable for topical use. Rheological analysis revealed pseudoplastic behavior, fitting the Herschel-Bulkley model. It was concluded that experimental design is a valuable tool for the development of stable emulsions, and formulation 22 proved to be promising for topical applications.

Authors

Institutions

Publication Details

Journal
ACS Omega
Published
2025-12-03
DOI
https://doi.org/10.1021/acsomega.5c07298
Primary Topic
Pickering emulsions and particle stabilization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of Pickering Emulsions Containing Andiroba Oil ( Carapa guianensis Aubl): Physicochemical Characterization, Experimental Approach, and Rheological Behavior for Topical Use

Taís Vanessa Gabbay Alves, Ana C. Freitas, Kamila Leal Correa, Antônio Augusto Marques Rodrigues et al.
ACS Omega
Pickering emulsions and particle stabilization
article

Optimization of Pickering Emulsions Containing Andiroba Oil ( Carapa guianensis Aubl): Physicochemical Characterization, Experimental Approach, and Rheological Behavior for Topical Use

Taís Vanessa Gabbay Alves, Ana C. Freitas, Kamila Leal Correa, Antônio Augusto Marques Rodrigues, José Otávio Carréra Silva Júnior, Thaty Aparecida Xavier, Camilo Barroso Teixeira, Roseane Maria Ribeiro-Costa, Marcelino Dias
article en

Abstract

Amazonian vegetable oils, due to their medicinal properties, have become essential raw materials in the development of pharmaceutical and cosmetic products, with andiroba oil (<i>Carapa guianensis</i> Aubl.) standing out. Classical emulsions, which use conventional emulsifiers, often present stability limitations. In this context, <i>Pickering</i> emulsions stabilized by solid particles emerge as a promising alternative. This study aimed to characterize and optimize <i>Pickering</i> emulsions containing andiroba oil and magnesium aluminum silicate (Veegum). The physicochemical characterization of the oil was performed according to the guidelines of the <i>American Oil Chemists' Society</i>. X-ray diffraction (XRD), size, polydispersity index (PDI) and zeta potential (ZP) analyses of Veegum were performed. For optimization, a Rotational Central Composite Design (RCCD) was used, with analysis of variance (ANOVA) to evaluate the significance of the variables. The results showed that the oil had an acidity index of 8.90 ± 0.13 mequiv KOH·g<sup>-1</sup> and a saponification index of 194 mg KOH/g, indicating the presence of beneficial fatty acids. Fourier transform infrared (FT-IR) analyses confirmed characteristic functional groups. Regarding the XRD of Veegum, peaks characteristic of clay was found, with emphasis on 19.45; 21.68; 25.27°, suggestive of the interlamellar space of the material. For the particle size, a value equal to 1299 nm ± 0.04 was obtained with a PDI of 0.672 ± 0.3, suggestive of aggregation and with a ZP of -38 mV ± 0.02, consistent with the silanol groups of Veegum, which favors the formation of stable dispersions. Out of the 19 initial formulations, three were selected, with emulsion 22 standing out due to its ZP of -40.5 ± 0.8 mV, creaming index of 0%, and pH of 7.45 ± 0.72, suitable for topical use. Rheological analysis revealed pseudoplastic behavior, fitting the Herschel-Bulkley model. It was concluded that experimental design is a valuable tool for the development of stable emulsions, and formulation 22 proved to be promising for topical applications.

ACS OmegaVol. 10(49)
Applied Nanotech (United States) (US), Institute of Food Science and Technology (CN), American Academy of Cosmetic Surgery (US), Institute of Food Science & Technology (GB), Universidade Federal do Pará (BR)
Openalex Percentile: Top 69%
Pickering emulsions and particle stabilization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.