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Measurements meet perceptions : rheology-texture-sensory relations when using green, bio-derived emollients in cosmetic emulsions / An Huynh in INTERNATIONAL JOURNAL OF COSMETIC SCIENCE, Vol. 43, N° 1 (02/2021)
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Titre : Measurements meet perceptions : rheology-texture-sensory relations when using green, bio-derived emollients in cosmetic emulsions Type de document : document électronique Auteurs : An Huynh, Auteur ; A.G. Garcia, Auteur ; L. K. Young, Auteur ; M. Szoboszlai, Auteur ; M. W. Liberatore, Auteur ; Gabriella Baki, Auteur Année de publication : 2021 Article en page(s) : p. 11-19 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Analyse sensorielle
Caractérisation
Cosmétiques -- Texture
Emollients
Emulsions -- Emploi en cosmétologie
Formulation (génie chimique) -- Stabilité
Ingrédients cosmétiques
Peau -- Soins et hygiène
Rhéologie
Statistique
Taille des gouttelettesIndex. décimale : 668.5 Parfums et cosmétiques Résumé : - Objective : Product aesthetics and sensory performance can strongly influence a cosmetic product’s acceptance by consumers. However, classic sensory analysis is time-consuming, expensive and does not provide information on the target group’s preference. In the previous phase of this project, we had untrained consumers evaluate six cosmetic emulsions based on their aesthetics using a check-all-that-apply (CATA) survey. In this project, our goals were to quantitatively characterize the rheology and textural properties of the six cosmetic emulsions containing green, bio-derived emollients and identify statistical relationships between the consumers’ description of products and the instrumental measurements.
- Methods : Six emulsions were prepared—three with olive oil and three with heptyl undecylenate as an emollient. Four sensory-like attributes, namely firmness, work of shear, stickiness and adhesiveness, were tested using a texture analyser. Rheological characterization included continuous flow testing and oscillatory measurements. Droplet size and stability were also evaluated. Statistical relationships were quantified between measurements in this study and sensory survey results published previously.
- Results : The textural and rheological results indicated that the emulsions were different—as designed. The texture and rheology measurements had analogous grouping outcomes to the consumers’ discrimination. Emulsions 1 and 2 were the firmest, hardest to spread, stickiest and had the highest viscosity, while Emulsions 5 and 6 were the least firm, easiest to spread, less sticky than Emulsions 1 and 2, and had the lowest viscosity. Emulsions 3 and 4 fell in between the other two groups. Using olive oil instead of heptyl undecylenate as an emollient increased firmness, spreading, stickiness, viscosity and droplet size of the emulsions in every case—when comparing emulsions within each pair. All six emulsions had a shear-thinning behaviour. Viscosity and firmness directly correlated for the emulsions. Emulsions were visually stable at room temperature over the course of 6 months and viscosity remained relatively constant over this period also.
- Conclusion : Certain sensory attributes can be reliably predicted with instrumental measurements. Identifying and quantifying sensory–texture–rheology relationships can contribute to achieving appropriate product characteristics tailored to suit market needs.Note de contenu : - MATERIALS
- METHODS : Formulation of the emulsions - Viscosity and rheology - Texture analysis - Droplet size determination - Stability - Data analysis
- RESULTS AND DISCUSSION : Texture analyser - Rheology - Droplet size - Stability - Relationship between rheology–texture–sensory characteristics
- Table 1 : Ingredients and percentage of ingredients in the emulsions used in this study
- Table 2 : Correlation matrix and scoring coefficients of instrumental variables
- Table 3 : Spreadability of the emulsions
- Table 4 : Power law parameters, viscosity, storage modulus and yield stress of the emulsions at 25°C
- Table 5 : Droplet size of emulsions (average ± SD)
- Table 6 : Summary statistics of indicators and CATA counts
- Table 7 : Univariate Poisson regression resultsDOI : https://doi.org/10.1111/ics.12661 En ligne : https://drive.google.com/file/d/1-SqGcJRQQ3LfzPJkuRqYczO4ClxJ5gW-/view?usp=share [...] Format de la ressource électronique : Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=35439
in INTERNATIONAL JOURNAL OF COSMETIC SCIENCE > Vol. 43, N° 1 (02/2021) . - p. 11-19[article]Exemplaires
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