Enhancement of adsorptive removal efficiency of an anionic dye from aqueous solutions using carboxylic acid-modified mulberry leaves: artificial neural network modeling, isotherm, and kinetics evaluation

Abstract Natural mulberry leaves and carboxylic acid-modified (Morus alba L.) were used for the first time to scrutinize effects of modification on retention efficiency an anionic dye (Remazol Brilliant Blue R (RBBR)) from aqueous solutions suggest economical promising adsorbent treatment dye-contaminated water. The characterization adsorbents was accomplished through common techniques including SEM, FTIR, pHpzc determination. Several parameters studied in batch experiments pointed out that initial pH 2.0 contact 240 min optimum conditions all developed RBBR uptake processes. An artificial neural network (ANN) model applied formulate a forecast RBBR. experimental data assessed by different kinetic isotherm models explain mechanism processes more detail. Maximum monolayer adsorption capacities natural acetic acid-, citric oxalic determined as 64.5, 95.2, 84.8, 91.7 mg g−1, respectively, Langmuir model. These results demonstrated with acids significantly increases capacity leaves.