Silver nanoparticles are recognized for numerous physical, biological, and pharmaceutical applications. eir main uses in the medical field comprise diagnostic and therapeutic applications. In this project, the interaction between silver nanoparticles and the lipid layer of the skin was studied in order to know how nanoparticles behave when they are in contact with the skin. Energies of the silver nanoparticles were calculated through the optimization of silver clusters using density functional theory implemented in the Gaussian program 09W. Biological molecules such as glucose, stearic acid, palmitic acid, and quercetin present in coated nanoparticles and in the skin were also optimized. e silver clusters containing 6 atoms were proven to be the most stable complexes. Moreover, a study of molecular orbital describing HOMO interactions of the clusters was performed showing that the electronic density was around the silver cluster. Molecular dynamics simulation was performed using Abalone program. Silver nanoparticles seemed to have very good clearance properties in our molecular dynamics simulation because over a certain period of time, the silver cluster got far away from the biological molecules.

Silver nanoparticles are recognized for numerous physical, biological and pharmaceutical applications. In this study, silver nanoparticles were successfully synthesized by green chemistry alternative reduction method, using Matico (Piper aduncum) leaves extract. The characterization was performed through Ultraviolet/VisibleSpectroscopy to estimatethe particle size; morphology and elemental composition were detected by Scanning Electron Microscopy. Estimated radius was measured by Scanning Transmission Electron Microscopy. The interaction between Matico leaves extract with nanoparticles to determine potential reducing active ingredients was monitored by InfraredSpectroscopy. The reaction yield was determined by Flame Atomic Absorption Spectroscopy. The interaction of clusters of silver nanoparticles (3, 5 and 6 atoms) with quercetin (an active molecule of Molecular Dynamics by Gaussian09 and Abalone programs. The particle size was 13.58±6.25nm. It was found that the nanoparticles are quasi-spherical with 7.2 % of elemental silver and a reaction yield of 96.68 %. The cluster of 6 silver atoms with quercetin was proven to be the most stable complex. Synthesized silver nanoparticles display stability greater than 120 days, confirming that Matico leaves extract is a viable and green reducing agent.Silver nanoparticles would have very good clearance properties because molecular dynamics demonstrated that over a certain period of time, the silver cluster got far away from the quercetin.