Use of Response Surface Methodology to Optimize the crystalline size of rice husk derived graphene produced by microwave process

Abstract

Abstract In this work, the microwave process is optimized for graphene preparation from rice husk using RSM (Response Surface Methodology) as the graphene has exceptional qualities and is highly used in many industrial applications. The experiments are designed by using Box-Behnken Design (BBD) approach. The characterization of prepared graphene is done by FESEM (Field Emission Scanning Electron Microscope), UV–Visible spectroscopy, and FTIR (Fourier transform infrared Spectroscopy). The best route to finding good-quality graphene is the objective of this research. The higher value R2 describes the satisfactory correlation between experimental and predicted data. The obtained optimized minimum crystallite size of graphene is 28.39 nm. The characterization, prediction, and process optimization are done, and the validation of the developed model confirms the model can be used for the preparation of graphene from rice husk. The prediction and optimization of the process parameters are done for the synthesis of graphene from rice husk. RSM is used as a statistical technique to obtain a quadratic model for the response. As the properties of graphene mostly depend upon the size of the particle, so the prediction of the crystalline size is done by this RSM technique.