Tabriz University of Medical Sciences Advanced Pharmaceutical Bulletin 2228-5881 12 4 2022 08 27 Artificial Neural Network Modeling of Nanostructured Lipid CarriersContaining 5-O-Caffeoylquinic Acid-Rich Cratoxylum formosum LeafExtract for Skin Application 801 817 10.34172/apb.2022.082 EN Abhiruj Navabhatra https://orcid.org/0000-0003-4129-1302 Adelheid Brantner https://orcid.org/0000-0001-7812-9291 Bancha Yingngam https://orcid.org/0000-0001-7215-9123 Journal Article 10.34172/apb.2022.082 2021 01 18 2021 09 28 Purpose: To investigate the in vitro anti-skin-aging properties of Cratoxylum formosumextract and encapsulate this plant extract in nanostructured lipid carriers (CFE-NLCs) fordermal application.Methods: The biological properties of the plant extract, including enhanced procollagen typeI synthesis and anti-matrix metalloproteinase activity, were evaluated to assess its cosmeticbenefits. An artificial neural network (ANN) coupled with K-fold cross-validation was appliedto investigate the effects of the formulants and optimize the CFE-NLCs. The physicochemicalproperties, percutaneous absorption, and irritation potential of the CFE-NLCs were analyzed.Results: Liquid chromatography-mass spectrometry analysis revealed that CFE contained5-O-caffeoylquinic acid as the vital constituent. Appropriate skin-care properties were alsodemonstrated 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 exhibitedbetter skin absorption and biocompatibility and lower irritation potential than the free botanicalextract solution.Conclusion: The findings obtained highlight CFE-NLCs as promising skin-care ingredients.