Daily Cosmetic Research Analysis
Three studies advance cosmetic science and practice from complementary angles: metabolomics and machine learning map bioactive recovery from coffee waste for sustainable cosmetic actives; hydrophobic natural eutectic solvents tune cream stability, rheology, and sensory feel; and a diversity-aware facial assessment framework (FASTM) modernizes aesthetic consultation. Together they promote greener formulations and more culturally sensitive, patient-centered care.
Summary
Three studies advance cosmetic science and practice from complementary angles: metabolomics and machine learning map bioactive recovery from coffee waste for sustainable cosmetic actives; hydrophobic natural eutectic solvents tune cream stability, rheology, and sensory feel; and a diversity-aware facial assessment framework (FASTM) modernizes aesthetic consultation. Together they promote greener formulations and more culturally sensitive, patient-centered care.
Research Themes
- Sustainable cosmetic formulation and green solvents
- Circular economy: valorization of coffee by-products
- Culturally sensitive, patient-centered facial assessment
Selected Articles
1. Multisolvent metabolite profiling of coffee waste by UHPLC-HRMS/MS and molecular networking.
Using UHPLC-HRMS/MS, GC-MS, multivariate statistics, and molecular networking, this study shows that solvent polarity and raw material origin (green beans vs spent grounds; Arabica vs Robusta) dictate recovery of specific bioactives from coffee waste. Non-polar solvents favor lipids/sterols (especially from SCG), while ethanol enriches hydrophilic antioxidants like chlorogenic acid from GB, providing a roadmap for sustainable cosmetic ingredient development.
Impact: Provides a methods-driven map linking extraction strategy to bioactive classes in coffee waste, enabling targeted valorization for cosmetics and nutraceuticals. The integration of molecular networking and machine learning enhances reproducibility and transferability.
Clinical Implications: While preclinical, the workflow informs selection of sustainable extracts for cosmeceutical development (e.g., antioxidant-enriched vs lipid-rich fractions), streamlining safety and efficacy testing pipelines.
Key Findings
- Non-polar solvents recovered fatty acids and sterols preferentially, especially from spent coffee grounds.
- Ethanol extracted higher levels of hydrophilic antioxidants, including chlorogenic acid, particularly from green beans.
- PCoA and Random Forest showed solvent polarity and material origin drive metabolite variation and classification.
- Molecular networking visualized structurally related metabolite clusters and solvent/material-associated distributions.
Methodological Strengths
- Multi-platform analytics (UHPLC-HRMS/MS, GC-MS) with quantitative HPLC-DAD for key markers
- Integrated multivariate statistics (PCoA) and supervised machine learning (Random Forest)
- Molecular networking to contextualize structural relationships
Limitations
- No direct bioactivity assays; cosmetic efficacy remains to be validated
- Limited to five solvents and specific Arabica/Robusta materials; generalizability to other wastes uncertain
Future Directions: Link chemical profiles to bioactivity and safety, standardize extraction protocols, and evaluate scalability and lifecycle impacts for cosmetic-grade ingredients.
Coffee processing wastes, including defected green beans (GB) and spent coffee grounds (SCG), are underutilized by-products rich in bioactive compounds with promising applications in nutraceuticals and cosmetics. This study profiled metabolites from Arabica and Robusta GB and SCG using five solvents of varying polarity (ethanol, ethyl acetate, toluene, xylene, and hexane). Quantification of chlorogenic acid and caffeine was performed using HPLC-DAD, while comprehensive metabolite profiling was conducted via UHPLC-HRMS/MS and GC-MS. Principal Coordinate Analysis (PCoA) based on Bray-Curtis distance was applied to provide an unsupervised overview of variation according to solvent polarity and raw material type, while a supervised Random Forest (RF) model was used to assess classification performance and group-level consistency. Non-polar solvents tended to recover fatty acids and sterols, especially from SCG, whereas polar solvents such as ethanol extracted higher amounts of hydrophilic antioxidants, including chlorogenic acid from GB. Molecular networking (MN) visualized structurally related metabolite clusters and illustrated solvent- and material-associated distributions. Overall, these findings indicate that extraction method and raw material origin shape metabolite diversity and functional potential in coffee waste materials. The combined use of MN, multivariate statistics, and machine learning offers a complementary strategy for chemical mapping and provides a framework to guide future valorization of coffee by-products, while additional bioactivity validation will be required to establish specific applications.
2. Cosmetic creams with caprylic acid-based Natural Eutectic Solvents: Stability, rheology and user perception.
Four caprylic/medium-chain-based hydrophobic NES at 10 wt% were integrated into an O/W cream. Three remained physically stable under 30-day accelerated aging, while a menthol-based NES caused phase separation with larger droplets and higher TSI. All creams were shear-thinning, and NES composition significantly modulated viscosity/yield stress and sensory attributes (odor, spread, pick-up, firmness).
Impact: Demonstrates a practical, sustainable route to tune both structure and sensory performance of creams using hydrophobic NES, supported by quantitative stability and rheology metrics.
Clinical Implications: Guides formulators toward eco-friendly NES selection to achieve desired feel and stability, with caution for menthol-based NES that destabilize emulsions. Supports development of greener topical vehicles potentially relevant to dermatologic products.
Key Findings
- Three of four NES-containing creams remained physically stable over 30 days of accelerated aging; menthol-based NES induced phase separation with larger droplet size and higher Turbiscan Stability Index.
- All formulations exhibited shear-thinning behavior; viscosity profiles and yield stress depended on NES composition.
- Sensory attributes (odor intensity, spreading, pick-up, firmness) were significantly altered by NES type.
Methodological Strengths
- Static multiple light scattering (Turbiscan) for quantitative stability tracking over time
- Comprehensive rheology (shear and oscillatory tests) linked to sensory panel assessments
Limitations
- Short evaluation window (30 days) and fixed 10% NES loading; no dermal safety or clinical performance data
- Limited to four NES systems; generalizability across actives and emulsifier systems untested
Future Directions: Extend stability to real-time/long-term studies, map NES concentration-response, evaluate skin compatibility and active delivery, and test across emulsifier systems and consumer cohorts.
OBJECTIVE: This study investigates the impact of hydrophobic Natural Eutectic Solvents (NES) on the physicochemical and sensory characteristics of cosmetic creams. The aim is to assess their potential as innovative, sustainable ingredients introduced directly into the oily phase of an oil-in-water emulsion prior to emulsification. METHODS: Four NES formulations, composed of natural components such as caprylic acid, lauric acid, menthol and 1,3-propanediol were incorporated at 10% wt. into a COSMOS-compliant cream chassis. The resulting creams were evaluated for physical stability using static multiple light scattering (Turbiscan®), rheological behaviour via shear and oscillatory tests, and sensory attributes through a trained panel. RESULTS: Among the four NES-containing creams, three formulations demonstrated satisfactory physical stability over 30 days under accelerated ageing conditions. Menthol-based NES induced phase separation, correlating with increased droplet size and higher Turbiscan Stability Index values. All creams exhibited shear-thinning behaviour, with viscosity profiles and yield stress varying depending on NES composition. Sensory analysis revealed that NES significantly influenced key attributes such as odour intensity, spreading, pick-up and firmness. CONCLUSION: Hydrophobic NES can be successfully integrated into the internal phase of cosmetic creams, influencing both their structural and sensory properties. These findings highlight their potential as multifunctional and eco-friendly ingredients in cosmetic formulation, supporting the development of more sustainable, more performant skincare products. OBJECTIF: Cette étude examine l‘impact des solvants eutectiques naturels (Natural Eutectic Solvents, NES) hydrophobes sur les caractéristiques physicochimiques et sensorielles des crèmes cosmétiques. L‘objectif est d‘évaluer leur potentiel en tant qu‘ingrédients innovants et durables introduits directement dans la phase huileuse d‘une émulsion huile dans l‘eau avant l‘émulsification. MÉTHODES: Quatre formulations de NES, constituées de composants naturels tels que l‘acide caprylique, l‘acide laurique, le menthol et le 1,3‐propanediol, ont été incorporées à 10 % en poids dans un châssis de crème conforme à COSMOS. La stabilité physique des crèmes résultantes a été évaluée à l‘aide d‘une diffusion statique de lumière multiple (Turbiscan®), le comportement rhéologique par des tests de cisaillement et d‘oscillation, et les attributs sensoriels par le biais d‘un comité d‘évaluation formé. RÉSULTATS: Parmi les quatre crèmes contenant des NES, trois formulations ont démontré une stabilité physique satisfaisante sur 30 jours dans des conditions de vieillissement accélérées. Les NES à base de menthol ont induit une séparation de phase, corrélée à une taille de gouttelettes accrue et à des valeurs plus élevées de l‘indice de stabilité de Turbiscan. Toutes les crèmes ont montré un comportement de rhéofluidification, avec des profils de viscosité et des contraintes de rendement variables en fonction de la composition en NES. L‘analyse sensorielle a révélé que les NES influençaient de manière significative des caractéristiques clés telles que l‘intensité des odeurs, la propagation, la récupération et la fermeté. CONCLUSION: Les NES hydrophobes peuvent être intégrés avec succès dans la phase interne des crèmes cosmétiques, influençant à la fois leurs propriétés structurelles et sensorielles. Ces résultats soulignent leur potentiel en tant qu‘ingrédients multifonctionnels et respectueux de l‘environnement dans la formulation cosmétique, soutenant ainsi le développement de produits de soins de la peau plus durables et plus performants.
3. Current Standards of Facial Assessment and Opportunities for Improvement.
A multidisciplinary expert panel reviewed literature and cross-population market research to propose the Galderma Facial Assessment Scale (FASTM), a five-domain framework (skin quality, facial shape, proportions, symmetry, expression) for standardized yet flexible facial assessment. The framework addresses cultural variability and supports patient-centered, diversity-aware aesthetic planning.
Impact: Responds to a critical gap by operationalizing culturally sensitive assessment in aesthetic medicine, with a structured tool that can harmonize consultations across diverse populations.
Clinical Implications: Encourages adoption of structured, diversity-aware consultations using FASTM, potentially improving communication, goal alignment, and equitable outcomes across ethnicities and genders.
Key Findings
- Significant variability exists in aesthetic ideals across racial, ethnic, and gender groups, outpacing Western-centric assessment norms.
- The Galderma FASTM provides a five-domain framework (skin quality, facial shape, proportions, symmetry, expression) for adaptable, objective evaluation.
- Combining literature synthesis with 2021–2022 market research grounds the framework in both evidence and contemporary patient preferences.
Methodological Strengths
- Multidisciplinary expert consensus across dermatology, oculoplastic, and plastic surgery
- Integration of literature with cross-ethnic market research to capture contemporary preferences
Limitations
- Not a PRISMA-compliant systematic review; lacks prospective validation and outcome data
- Potential industry affiliation bias and need for cross-cultural psychometric validation
Future Directions: Prospectively validate FASTM’s reliability, patient-reported outcomes, and linkage to clinical results; assess digital tool performance and training impact across diverse settings.
BACKGROUND: Evolving patterns of global migration, cultural exchange, and social media exposure have diversified perceptions of facial attractiveness and reshaped patient expectations for aesthetic treatment. Conventional assessment tools based on Western-centric beauty ideals no longer fully capture this heterogeneity. OBJECTIVE: To identify current gaps in facial assessment practices and propose a culturally sensitive, patient-centric framework that integrates emerging concepts in aesthetic medicine. MATERIALS AND METHODS: An expert panel of nine specialists in dermatology, oculoplastic, and plastic surgery convened to review literature on facial assessment, global beauty standards, and ethnic variations. The authors also analyzed market research from 2021-2022 exploring aesthetic priorities across diverse racial, ethnic, and gender groups. RESULTS: Findings highlight significant variability in aesthetic ideals across populations and an unmet need for standardized yet flexible assessment tools. The newly developed Galderma Facial Assessment Scale (FASTM) provides a structured, five-domain framework-skin quality, facial shape, proportions, symmetry, and expression-that supports objective evaluation adaptable to different ethnic and cultural contexts. CONCLUSION: Modern aesthetic assessment must move beyond neoclassical norms toward individualized, diversity aware, and evidence-based evaluation. Tools such as the Galderma FASTM enable clinicians to achieve holistic, culturally sensitive, and patient-aligned treatment planning.