A Hydrogel Peel-Off Mask Formulated with Phyto-Nanoemulsion Incorporating Tea Leaves Extract: Design, Antioxidant Evaluation, and Ex-Vivo Transport Investigation

Abstract

Background: Developing anti-aging cosmetic formulations might benefit from the extraordinary antioxidant chemicals found in tea leaves.
The putative antioxidant chemicals' penetrability was its biggest problem, however, because of its hydrophilicity. An option for improving
the penetration of chemicals that are soluble in water is the nanoemulsion formulation. This experiment aimed to create and construct a
nanoemulsion formulation that incorporates tea leaf extract into a peel-off mask. It also included an ex-vivo transport research.
Methods: The process of self-nano emulsification was used to generate the nanoemulsion formulation. The optimum formulation was
defined using quality target product characteristics, and the optimization procedure was carried out utilizing a design of experiment. The
lyophilized extract of the cooked water-based green tea leaf (DGTE) was obtained. Additional evaluations included phenolic content and
antioxidant tests. A hydrogel-based peel-off mask was created using the improved formulation. In this experiment, we used both deposited
polyphenols in the skin membrane and polyphenols that permeated the skin membrane of rats.
Findings: DGTE included potent antioxidants with an IC50 value below 15 mg/mL, according to the data. Droplet size smaller than 50
nm was achieved by the optimized nanoemulsion, which consisted of 21.62% virgin coconut oil, 48.38% Tween 80, and 30% PEG 400.
After around 30 minutes of drying, the peel-off formulation was ready to use, together with PVA (10-11% and HPMC 0.25-1%). The
nanoemulgel peel-off mask formulation significantly improved the percutaneous transport utilizing rat skin membrane for about 200%
and 50%, respectively, in terms of permeability and deposition.
Results: DGTE polyphenol chemicals were better able to penetrate when a hydrogel-based peel-off mask with nanoemulsion was used.