Artificial Neural Network Modeling of Nanostructured Lipid Carriers Containing 5-O-Caffeoylquinic Acid-Rich Leaf Extract for Skin Application.

Adv Pharm Bull

Department of Pharmaceutical Chemistry and Technology, Faculty of Pharmaceutical Sciences, Ubon Ratchathani University, Ubon Ratchathani, 34190, Thailand.

Published: August 2022

To investigate the in vitro anti-skin-aging properties of extract and encapsulate this plant extract in nanostructured lipid carriers (CFE-NLCs) for dermal application. The biological properties of the plant extract, including enhanced procollagen type I synthesis and anti-matrix metalloproteinase activity, were evaluated to assess its cosmetic benefits. An artificial neural network (ANN) coupled with K-fold cross-validation was applied to investigate the effects of the formulants and optimize the CFE-NLCs. The physicochemical properties, percutaneous absorption, and irritation potential of the CFE-NLCs were analyzed. Liquid chromatography-mass spectrometry analysis revealed that CFE contained 5-O-caffeoylquinic acid as the vital constituent. Appropriate skin-care properties were also demonstrated with respect to enhanced type I procollagen synthesis and the inhibition of MMP-1, MMP-3, and MMP-9 in primary human dermal fibroblasts. The optimal CFE-NLCs exhibited better skin absorption and biocompatibility and lower irritation potential than the free botanical extract solution. The findings obtained highlight CFE-NLCs as promising skin-care ingredients.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675925PMC
http://dx.doi.org/10.34172/apb.2022.082DOI Listing

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