Evaluation of adsorption potential of bamboo biochar for metal-complex dye: equilibrium, kinetics and artificial neural network modeling

Abstract

Metal-complex dyes are widely used in textile industry, but harmful to the environment and human health due to aromatic structure and heavy metal ions. The objective of this work was to evaluate the adsorption potential of bamboo biochar for the removal of metalcomplex dye acid black 172 from solutions. Freundlich model was more suitable for the adsorption process of bamboo biochar than Langmuir isotherm, indicating multilayer adsorption of acid black 172 on a heterogeneous bamboo biochar surface. Adsorption kinetics analysis of pseudo-second-order and Weber-Morris models revealed that intraparticle transport was not the only rate-limiting step. The bamboo biochar exhibited a good adsorption performance even at high ionic strength. Analysis based on the artificial neural network indicated that the temperature with a relative importance of 29 % appeared to be the most influential parameter in the adsorption process for dye removal, followed by time, ionic strength, pH and dye concentration.

Assessment of the possibility of using data mining methods to predict sorption isotherms of selected organic compounds on activated carbon

“…The optimal structure of the neural network for sorption amount predictions was sought computing the measures of fit of simulation results to measurements (MAE, MAPE). That was done for a number of neurons in the hidden layer (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) adopted in the study and for linear, exponential (exp), sine (sin), sigmoidal (sigm) and hyperbolic tangent activation functions. In the output layer, linear activation function was assumed.…”

“…It is a complex task that requires substantial labour input and generates high costs while the results obtained describe only one particular adsorbent -adsorbate system. However, both the literature on the subject [1][2][3][4][5][6][7][8][9][10][11][12] and technological practice provide databases of sorption results for activated carbon-adsorbate systems that have already been investigated. Therefore, it seems reasonable to make use of those data to predict sorption in the systems that show comparable properties.…”

“…Therefore, it seems reasonable to make use of those data to predict sorption in the systems that show comparable properties. Literature data [5,[11][12][13][14][15] indicate that mathematical models using multiple regression equations, artificial neural networks and their numerous modifications could be employed to this end. The models are developed on the basis of the dataset, which is partitioned into the training set, and the testing and validating set.…”

Review of Eco-Friendly Biochar Used in the Removal of Trace Metals on Aqueous Phases

“…Chen et al [57] studied adsorption isotherms at different initial of Cu (II) and Zn (II) that ranged from 0.1 to 5.0 mM that has proven that the Langmuir model (R 2 > 0.998) fit the data better than the Freundlich model (R 2 were 0.86-0.94). Many researchers also reported that adsorption of trace metals by biochar fits better to Freundlich than Langmuir isotherm in the dynamic data [26,131,132,133].…”

Biochar Adsorption Treatment for Typical Pollutants Removal in Livestock Wastewater: A Review

“…The adsorption of methyl violet on -COO-and hydrophilic was dominant. Sun et al [37] respectively obtained biochar from anaerobic digestion residue, palm bark and tree, through pyrolysis at 400 C for 30 min, respectively. Under the condition of 40 C, pH 7, 4 mg/L methyl blue, the removal efficiency was 99.5, 99.3 and 86.1%, respectively.…”