statistical modeling of oxalic acid adsorption on rice bran using response surface methodology–box–behnken design

This study investigates the adsorption of oxalic acid by rice bran, a low-cost bioresource. fifteen adsorption experiments were conducted under conditions specified by response surface methodology (rsm) using the box–behnken design (bbd). a three-level box-behnken experimental design incorporating three factors (temperature, biosorbent mass, and contact time) was applied. a quadratic mathematical model was developed to predict the responses. analysis of variance (anova) indicated that temperature significantly affects oxalic acid adsorption. a decrease in temperature corresponded with an increased oxalic acid removal rate. the best conditions for removing oxalic acid were determined, achieving a maximum removal rate of 100% at a temperature of 301.15 k with 5 grams of biosorbent and a contact time of 45 minutes. kinetic analysis showed that the adsorption of oxalic acid on rice bran follows the pseudo-second-order kinetic model, demonstrating rice bran’s effectiveness as a biosorbent in this process.