Experimental design and parameters optimization of bioanode for tissue based biofuel cell

In this study, a plant tissue-based biofuel cell (BFC) system was developed using plant tissues. The system utilized glucose oxidase (GOx) enzyme as reaction catalysts. The tissue-based BFC was constructed by using a carbon felt electrode (CFE) in both bioanode and biocathode. The electrodes were modified with multi-walled carbon nanotube-gold-platinum (MWCNT- Au-Pt) hybrid nanomaterial. Nanohybrids immobilize GOx on the electrode surface. The electron transfer will occur through mediators which are in this study will be Phosphate buffer saline and benzoquinone (BQ). Response surface methodology (RSM) was utilized to analyze the correlation of the experimental parameters to the output and the results are represented using a 3D model and tables. The study was divided into two stages. The first stage was experimental optimization of the variables using the chronoamperometry electrochemical method. Then response surface methodoly and experimental design were used to computationally determine the optimized values. Design-Expert software was employed to create a set of experiments using a central composite design model (CCD). CCD employs full factorial parameters limits (+1,-1), star design limits (+α, -α), and center point repeat to accurately optimize the parameters. The results of RSM were modeled using two software, Design expert and Octave. Octave software is a free software similar to Mat lab. Then the optimized values were used to determine the best system design by comparing three systems, single chamber BFC, nafion proton exchange membrane double chamber BFC and salt bridge double chamber BFC.