In this study, lighter alcohols ethanol and methanol were added to gasoline to formulate binary blend E10 (Ethanol 10% + Gasoline 90 %) and its equivalent iso-stoichiometric GEM blends. Alumina nanoparticles (10ppm) of size 40 nm were added to binary blend E10 and best performing GEM blend by means of Ultrasonication to disperse the nanoparticles homogeneously in the fuel blend. The fuel samples were tested on the PFI SI engine at different engine speeds ranging from 1700 rpm to 3300rpm at a constant load of 5.2kg. The results indicate that the presence of nanoparticles in the fuel blends increased engine performance by 26% and reduced the emissions of hydrocarbons, carbon monoxide, Nitrogen oxides by 64%, 78%, 39%, respectively for the optimized fuel blend G91.2E4M4.8A10. Response surface methodology technique is used to optimize fuel blends and the model is validated with experimental results. However, optimization results showed that higher optimization is obtained with a speed of 2700 rpm, 10ppm of Alumina. Under these conditions, the results of HC, CO, CO2, NOx emissions were 163.9 ppm, 0.7%, 9.8%, and 1304.6 ppm, respectively