Synthesis, optimization and characterization of ML33 Polysilazane functionalized with Silver Nanoparticles

Reference Presenter Authors
18-023 Suellen Battiston Battiston, S.(Universidade Federal de Santa Catarina); Bezerra, A.V.(Universidade Federal de Santa Catarina); Hotza, D.(Universidade Federal de Santa Catarina); Ribeiro, L.F.(Federal University of Santa Catarina); Bernard, S.(University of Limoges);

Some properties related to inorganic polymers containing silicon in the main chain are thermal stability, oxidation and corrosion resistance, hydrophobicity and excellent adhesion on metal substrates, in the present work, the idea was to increase those propertieswith the silver nanoparticles characteristics.So, the synthesis and optimization of a commercial Polysilazane (ML33) functionalized with silver nanoparticles was studied in order to obtain a stable compound. The solvent was mixed first with AgNO3 followed by the polymer, so the solution was sonicated during 4 minutes to obtain a homogeneous mixture. Three different solvents (DMF, DBE and Toluene) were evaluated during the synthesis and characterized by UV spectroscopy and Transmission Electron Microscopy (TEM), showing that high values of dielectric constant and polarity playan important rule on solution stability. Therefore, DMF was the one chose due to its properties, moreover DMF and ML33 were able to act as a reduction agent, guaranteeing the highest concentration of silver nanoparticles in the solution. Central Composite Design (CCD) was applied to optimize the concentration of ML33 and AgNO3 to obtain a stable solution, once the whole nanoparticle surface needs to have adsorbed polymer for effective steric stability. Thus, analyzing the Pareto Graph and ANOVA, ML33 concentration was the most significant effect, followed by AgNO3 concentration, determining the desirable concentration of the reagents. The best condition was analyzed by UV spectroscopy and TEM analysis, as well as, the material was pyrolyzed (800ºC) and characterized by Thermogravimetric Analysis (TGA, DTA).