Predictive Model Based on K-Nearest Neighbor Coupled with the Gray Wolf Optimizer Algorithm (KNN_GWO) for Estimating the Amount of Phenol Adsorption on Powdered Activated Carbon

In this work, the adsorption mechanism of phenol on activated carbon from aqueous solutions was investigated. Batch experiments were performed as a function of adsorbent rate, solution temperature, phenol initial concentration, stirring speed, and pH. The optimal operating condition of phenol adsorption were: mass/volume ratio of 0.6 g.L−1, temperature of 20 °C and stirring speed of 300 rpm. The equilibrium data for the adsorption of phenol were analyzed by Langmuir, Freundlich, and Temkin isotherm models. It was found that the Freundlich and Temkin isotherm models fitted well the phenol adsorption on the activated carbon and that the adsorption process is favorable. The Langmuir equilibrium isotherm provides a maximum adsorption of 156.26 mg.g−1 at 20 °C. The pseudo-first-order, pseudo-second-order, intraparticle diffusion, and Boyd models were used to fit the kinetic data. The adsorption kinetics data were well described by the pseudo-second-order model. The kinetic was controlled by the external diffusion by macropore and mesopore, as well as by the micropore diffusion. The thermodynamic study revealed the exothermic and spontaneous nature of phenol adsorption on activated carbon with increased randomness at the solid-solution interface. On the other hand, a very large model based on the optimization parameters of phenol adsorption using k-nearest neighbor coupled with the gray wolf optimizer algorithm was launched to predict the amount of phenol adsorption. The KNN_GWO model showed an advantage in giving more precise values related to very high statistical coefficients (R = 0.9999, R2 = 0.9998 and R2adj = 0.9998) and very low statistical errors (RMSE = 0, 0070, MSE = 0.2347 and MAE = 0.2763). These advantages show the efficiency and performance of the model used.

[1]  R. Mishra Fresh Water availability and It’s Global challenge , 2023, Journal of Marine Science and Research.

[2]  D. Farmanzadeh,et al.  Theoretical study for exploring the adsorption behavior of aniline and phenol on pristine and Cu-doped phosphorene surface , 2022, Applied Surface Science.

[3]  H. Lgaz,et al.  DeExperimental and theoretical evaluation of synthetized cobalt oxide for phenol adsorption: Adsorption isotherms, kinetics, and thermodynamic studies , 2022, Arabian Journal of Chemistry.

[4]  A. Bonilla-Petriciolet,et al.  Unravelling the adsorption mechanism of phenol on zinc oxide at various coverages via statistical physics, artificial neural network modeling and ab initio molecular dynamics , 2022, Chemical Engineering Journal.

[5]  J. Bollinger,et al.  Zeolite Waste Characterization and Use as Low-Cost, Ecofriendly, and Sustainable Material for Malachite Green and Methylene Blue Dyes Removal: Box–Behnken Design, Kinetics, and Thermodynamics , 2022, Applied Sciences.

[6]  Hai Nguyen Tran Improper Estimation of Thermodynamic Parameters in Adsorption Studies with Distribution Coefficient K D (q e/C e) or Freundlich Constant (K F): Considerations from the Derivation of Dimensionless Thermodynamic Equilibrium Constant and Suggestions , 2022, Adsorption Science & Technology.

[7]  Pramanand Kumar,et al.  Kinetics and adsorption isotherm model of 2-thiouracil adsorbed onto the surface of reduced graphene oxide-copper oxide nanocomposite material , 2022, Journal of Molecular Structure.

[8]  Yong-guan Zhu,et al.  Induced aging, structural change, and adsorption behavior modifications of microplastics by microalgae. , 2022, Environment international.

[9]  Ujjwal Pal,et al.  Synthesis, physiochemical and spectroscopic characterization of palm kernel shell activated carbon doped AgNPs (PKSAC@AgNPs) for adsorption of chloroquine pharmaceutical waste , 2022, Materials Today: Proceedings.

[10]  F. Barba,et al.  Implementation and physico-chemical characterization of new alkali-modified bio-sorbents for cadmium removal from industrial discharges: Adsorption isotherms and kinetic approaches , 2022, Process Biochemistry.

[11]  P. Kumbhar,et al.  Synthesis of tea waste/Fe3O4 magnetic composite (TWMC) for efficient adsorption of crystal violet dye: Isotherm, kinetic and thermodynamic studies , 2022, Journal of Environmental Chemical Engineering.

[12]  E. H. Houssein,et al.  Predicting the concentration of sulfate using machine learning methods , 2022, Earth Science Informatics.

[13]  J. Zhang,et al.  Modeling the organic matter of water using the decision tree coupled with bootstrap aggregated and least-squares boosting , 2022, Environmental Technology & Innovation.

[14]  A. Amrane,et al.  Optimisation and Prediction of the Coagulant Dose for the Elimination of Organic Micropollutants Based on Turbidity , 2021, Kemija u industriji.

[15]  A. Amrane,et al.  Artificial Intelligence and Mathematical Modelling of the Drying Kinetics of Pre-treated Whole Apricots , 2021, Kemija u industriji.

[16]  Banan Hudaib Treatment of real industrial wastewater with high sulfate concentrations using modified Jordanian kaolin sorbent: batch and modelling studies , 2021, Heliyon.

[17]  M. L. Oliveira,et al.  Highly effective adsorption of synthetic phenol effluent by a novel activated carbon prepared from fruit wastes of the Ceiba speciosa forest species , 2021 .

[18]  Ying Yang,et al.  Surface functional groups determine adsorption of pharmaceuticals and personal care products on polypropylene microplastics. , 2021, Journal of hazardous materials.

[19]  J. Sahu,et al.  Improvement in phenol adsorption capacity on eco-friendly biosorbent derived from waste Palm-oil shells using optimized parametric modelling of isotherms and kinetics by differential evolution , 2021 .

[20]  Y. Dehmani,et al.  Comparative study on adsorption of cationic dyes and phenol by natural clays , 2021 .

[21]  A. Amrane,et al.  Predicting the concentration of sulfate (SO42-) in drinking water using artificial neural networks: a case study: Médéa-Algeria , 2021 .

[22]  Hai Nguyen Tran,et al.  Is one performing the treatment data of adsorption kinetics correctly? , 2020 .

[23]  Shu Wang,et al.  Adsorption of Phenol on Commercial Activated Carbons: Modelling and Interpretation , 2020, International journal of environmental research and public health.

[24]  A. Hamitouche,et al.  Prediction of the Bicarbonate Amount in Drinking Water in the Region of Médéa Using Artificial Neural Network Modelling , 2020 .

[25]  T. Sathish,et al.  Optimal prediction of process parameters by GWO-KNN in stirring-squeeze casting of AA2219 reinforced metal matrix composites , 2020 .

[26]  J. Bollinger,et al.  Modeling and optimization of process parameters in elucidating the adsorption mechanism of Gallic acid on activated carbon prepared from date stones , 2020, Separation Science and Technology.

[27]  Jianlong Wang,et al.  Comparison of linearization methods for modeling the Langmuir adsorption isotherm , 2019 .

[28]  A. Goula,et al.  Pomegranate peel and orange juice by-product as new biosorbents of phenolic compounds from olive mill wastewaters , 2019, Chemical Engineering and Processing - Process Intensification.

[29]  P. A. Arroyo,et al.  Synthesis and characterization of pecan nutshell-based adsorbent with high specific area and high methylene blue adsorption capacity , 2019, Journal of Molecular Liquids.

[30]  A. M. Amat,et al.  A new methodology to assess the performance of AOPs in complex samples: Application to the degradation of phenolic compounds by O3 and O3/UV-A-Vis. , 2019, Chemosphere.

[31]  L. Mouni,et al.  Use of commercial activated carbon for the purification of synthetic water polluted by a pharmaceutical product , 2019, Desalination and Water Treatment.

[32]  Dorota Papciak,et al.  Adsorption of Phenol from Water on Natural Minerals , 2018, Journal of Ecological Engineering.

[33]  A. Al-Dujaili,et al.  Phenol adsorption on biochar prepared from the pine fruit shells: Equilibrium, kinetic and thermodynamics studies. , 2018, Journal of environmental management.

[34]  J. Bollinger,et al.  Removal of Methylene Blue from aqueous solutions by adsorption on Kaolin: Kinetic and equilibrium studies , 2018 .

[35]  Huan-Ping Chao,et al.  Mistakes and inconsistencies regarding adsorption of contaminants from aqueous solutions: A critical review. , 2017, Water research.

[36]  J. Simonin,et al.  On the comparison of pseudo-first order and pseudo-second order rate laws in the modeling of adsorption kinetics , 2016 .

[37]  Poonam Sinha,et al.  Comparative Study of Chronic Kidney Disease Prediction using KNN and SVM , 2015 .

[38]  Hideki Yamamoto,et al.  Evaluation of advanced oxidation processes (AOP) using O3, UV, and TiO2 for the degradation of phenol in water , 2015 .

[39]  N. K. Leitner,et al.  Photocatalytic removal of phenol using titanium dioxide deposited on different substrates: Effect of inorganic oxidants , 2015 .

[40]  V. Castaño,et al.  Adsorption of phenol from aqueous solutions by carbon nanomaterials of one and two dimensions: kinetic and equilibrium studies , 2015 .

[41]  C. Girish,et al.  Adsorption of Phenol from Aqueous Solution Using Lantana camara, Forest Waste: Kinetics, Isotherm, and Thermodynamic Studies , 2014, International scholarly research notices.

[42]  Andrew Lewis,et al.  Grey Wolf Optimizer , 2014, Adv. Eng. Softw..

[43]  M. Yasmina,et al.  Treatment Heterogeneous Photocatalysis; Factors Influencing the Photocatalytic Degradation by TiO2 , 2014 .

[44]  N. Amin,et al.  Adsorption of phenol from aqueous solutions by Luffa cylindrica fibers: Kinetics, isotherm and thermodynamic studies , 2013 .

[45]  M. Soylak,et al.  Adsorption of Phenol from Aqueous Solution on a Low-Cost Activated Carbon Produced from Tea Industry Waste: Equilibrium, Kinetic, and Thermodynamic Study , 2012 .

[46]  T. Sen,et al.  Removal of anionic dye Congo red from aqueous solution by raw pine and acid-treated pine cone powder as adsorbent: equilibrium, thermodynamic, kinetics, mechanism and process design. , 2012, Water research.

[47]  Dada A.O,et al.  Langmuir, Freundlich, Temkin and Dubinin–Radushkevich Isotherms Studies of Equilibrium Sorption of Zn 2+ Unto Phosphoric Acid Modified Rice Husk , 2012 .

[48]  W. Shim,et al.  Adsorption characteristics of phenol on novel corn grain-based activated carbons , 2010 .

[49]  D. Montané,et al.  Adsorption of phenol onto activated carbons having different textural and surface properties , 2008 .

[50]  L. Chimuka,et al.  Determination of phenols in water samples using a supported liquid membrane extraction probe and liquid chromatography with photodiode array detection , 2007 .

[51]  A. Spiff,et al.  Effects of temperature on the sorption of Pb2+ and Cd2+ from aqueous solution by Caladium bicolor (Wild Cocoyam) biomass , 2005 .

[52]  R. Bruce,et al.  Summary Review of the Health Effects Associated With Phenol , 1987, Toxicology and industrial health.

[53]  W. Weber,et al.  Kinetics of Adsorption on Carbon from Solution , 1963 .