Background
Type: Article

Efficient removal of crystal violet from aqueous solutions with Centaurea stem as a novel biodegradable bioadsorbent using response surface methodology and simulated annealing: Kinetic, isotherm and thermodynamic studies

Journal: Ecotoxicology and Environmental Safety (01476513)Year: 15 November 2018Volume: 163Issue: Pages: 372 - 381
Naderi, Peyman Shirani M. Semnani A.Goli A.a
DOI:10.1016/j.ecoenv.2018.07.091Language: English

Abstract

The novel green bioadsorbent, Centaurea stem, was utilized for crystal violet removal from aqueous solutions. SEM and FT-IR were used for characterization of Centaurea stem. The effects of the pH, time, temperature, bioadsorbent amount, and initial dye concentration were investigated. Response surface methodology was used to depict the experimental design and the optimized data of pH 12.57, time 19.661, temperature 38.94 °C, amount of bioadsorbent 12.218 mg, and initial dye concentration 36.62 mg L−1 were achieved. Moreover, artificial neural network (ANN) and simulated annealing (SA) were applied for prediction and optimization of the process respectively. The SA acquired optimum conditions of 10.114, 7.892 min, 25.127 °C, 64.405 mg L−1, 14.54 mg for pH, time, temperature, initial dye concentration, and bioadsorbent amount, respectively which were more close to the experimental results and indicated higher ability of SA-ANN in prediction and optimization of the process. The adsorption isotherms confirm the experimental data were appropriately fitted to the Langmuir model with high adsorption capacity of 476.190 mg g−1. The thermodynamic parameters were evaluated. The positive ΔH° and ΔS° values described endothermic nature of adsorption. The adsorption of crystal violet followed the pseudo-second order kinetic model. © 2018 Elsevier Inc.


Author Keywords

Artificial neural networkCentaurea stemDye removalGreen bioadsorbentResponse surface methodologySimulated annealing

Other Keywords

AdsorptionCentaureaGentian VioletHydrogen-Ion ConcentrationKineticsModels, ChemicalNeural Networks (Computer)Plant StemsSolutionsSpectroscopy, Fourier Transform InfraredTemperatureThermodynamicsWaterWater Pollutants, ChemicalWater Purificationadsorbentcrystal violetangiospermaqueous solutionartificial neural networkdyeresponse surface methodologysimulated annealingstemadsorption kineticsArticlecontrolled studynonhumanplant stemprocess optimizationresponse surface methodscanning electron microscopysimulationchemical modelchemistryevaluation studyinfrared spectroscopyisolation and purificationpHproceduressolution and solubilitywater managementwater pollutant