A DETAILED INVESTIGATION ON ENGINEERING PARAMETERS FOR Cd(II) REMOVAL BY RIPPED CITRUS PARADISI PULP WASTE

Ishfaq, Tahir; Naveed, Sajida; Kazmi, Mohsin; Bhatti, Haq Nawaz; Feroze, Nadeem

doi:10.4067/s0717-97072013000400058

Cited by 5 publications

(2 citation statements)

References 14 publications

(36 reference statements)

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“…The stock solutions were diluted to 100-1000 mg/L using deionized water and a reaction time ranging from 2 to 30 min. rGO/Fe/Cu nanocomposites (10-30 mg) were added into 50 mL of the dye solutions (100-1000 mg/L) with an initial pH (3)(4)(5)(6)(7)(8)(9)(10). The initial solution pH adjustments were performed with HCl (0.1 mol L −1 ) and NaOH (0.1 mol L −1 ) solutions.…”

Section: Batch Decontamination Experimentsmentioning

confidence: 99%

“…The common treatment technologies of dye wastewater include adsorption, ion exchange, coagulation, advanced oxidation, electrochemical and membrane separation technologies. Among these techniques, adsorption is an effective method for treating wastewater containing dyes, with the advantages of simplicity, a relatively low cost and easy operation [5]. It is particularly important to prepare environmentally friendly and efficient adsorbents.…”

Section: Introductionmentioning

confidence: 99%

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Binary Dye Removal from Simulated Wastewater Using Reduced Graphene Oxide Loaded with Fe-Cu Bimetallic Nanocomposites Combined with an Artificial Neural Network

Xin

Xiang

et al. 2021

Materials

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Reduced graphene oxide loaded with an iron-copper nanocomposite was prepared in this study, using graphene oxide as a carrier and ferrous sulfate, copper chloride and sodium borohydride as raw materials. The obtained material was prepared for eliminating hazardous dye carmine and the binary dye mixture of carmine and Congo red. The process of carmine dye removal by the nanocomposite was modeled and optimized through response surface methodology and artificial intelligence (artificial neural network–particle swarm optimization and artificial neural network–genetic algorithm) based on single-factor experiments. The results demonstrated that the surface area of the nanocomposite was 41.255 m2/g, the pore size distribution was centered at 2.125 nm, and the saturation magnetization was up to 108.33 emu/g. A comparison of the material before and after the reaction showed that the material could theoretically be reused three times. The absolute error between the predicted and experimental values derived by using artificial neural network–particle swarm optimization was the smallest, indicating that this model was suitable to remove carmine from simulated wastewater. The dose factor was the key factor in the adsorption process. This process could be described with the pseudo-second-order kinetic model, and the maximum adsorption capacity was 1848.96 mg/g. The removal rate of the mixed dyes reached 96.85% under the optimal conditions (the dosage of rGO/Fe/Cu was 20 mg, the pH was equal to 4, the initial concentration of the mixed dyes was 500 mg/L, and the reaction time was 14 min), reflecting the excellent adsorption capability of the material.

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