Arif Al Iman, Annisa Septianti Sekar Kinasih, Defri Rizaldy, Sukrasno
Coffee beans possess strong antioxidant properties, making them attractive candidates for anti-aging applications. This study investigates the optimal extraction conditions to enhance the antioxidant yield and evaluates the anti-aging potential of the major compounds through in silico analysis. Extraction was optimized using Response Surface Methodology (RSM), with extraction time and solvent ratio as independent variables. The optimization aimed to maximize yield, total phenolic content (TPC), and antioxidant activity assessed by the DPPH assay. The best extraction conditions were obtained at 42.98 minutes and a solvent ratio of 5.77g/ml. Under these conditions, TLC-densitometry identified chlorogenic acid and caffeine as the major components. Molecular docking demonstrated that chlorogenic acid exhibited strong binding affinity to key skin-aging-related proteins, including collagen type I (3EJH), MMP-1 (2D1N), elastase (3HGN), MMP-9 (1GKC), and TNF-α (2AZ5). These interactions, primarily stabilized by hydrogen bonds and Van der Waals forces, support its role as a potent anti-aging compound. The findings suggest that chlorogenic acid is a promising natural candidate for developing anti-aging treatments. By combining green extraction techniques with computational validation, this study contributes to the sustainable development of cosmetic and nutraceutical applications. Overall, the research provides new insights into the health-promoting potential of coffee, paving the way for future in vivo studies and functional food innovations. © RJPT All right reserved.
Department of Pharmaceutical Biology, School of Pharmacy, Bandung Institute of Technology, Indonesia; Pharmacy, Faculty of Medicine, Brawijaya University, Indonesia
