Modeling of quaternary dyes adsorption onto ZnO–NR–AC artificial neural network: Analysis by derivative spectrophotometry

다국어 초록 (Multilingual Abstract)

The novel adsorbent i.e. ZnO–NR–AC was synthesized and used for the rapid removal of the quaternarydyes from the aqueous solution. The ANN model was used for the optimization and modeling ofsonication time, amount of sorbent and dyes concentrations to study their simultaneous adsorptionbased on achievement of minimum mean squared error as criterion. The optimized parameters wasfound to be 4 min sonication time, 0.022 g of ZnO–NR–AC; MB, EY, CV and AO concentrations were 8.0,9.7, 8.0 and 10.6 mg L 1possible to achieve the removal percentage of 99.89, 99.2, 99.68 and 99.45% forMB, EY, CV and AO, respectively. The analysis of variance (ANOVA) support the high suitability ofachieved equation for the efficient prediction of understudy adsorption system behavior that proofed bythe presence of good agreement among the predicted and experimental data. The Langmuir isothermmodel with maximum adsorption capacities were 89.29, 93.46, 87.52 and 88.5 mg g 1 correspond toMB, CV, EY and AO, respectively.

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