Daily, a big extent of colored, partially treated textile effluents drained into the sanitation systems causing serious environmental concerns. Therefore, the decolorization treatment process of wa...

https://journals.sagepub.com/doi/pdf/10.1177/1178622120908273

Comparative Studies of Using Nano Zerovalent Iron, Activated Carbon, and Green Synthesized Nano Zerovalent Iron for Textile Wastewater Color Removal Using Artificial Intelligence, Regression Analysis, Adsorption Isotherm, and Kinetic Studies:

Tannery industrial effluent is one of the most difficult wastewater types since it contains a huge concentration of organic, oil, and chrome (Cr). This study successfully prepared and applied bimet...

https://journals.sagepub.com/doi/pdf/10.1177/11786221211028162

Effective Chromium Adsorption From Aqueous Solutions and Tannery Wastewater Using Bimetallic Fe/Cu Nanoparticles: Response Surface Methodology and Artificial Neural Network:

Industrial effluents introduce a huge amount of organic load into municipal wastewater. Organic contaminants such as carbohydrates, starch, and fats increase the COD levels to unallowable limits to be discharged into sewage systems. This study successfully prepared Fe/Cu NPs by using the drop by drop method and characterized them using XRD, SEM, and EDAX analysis. The effect of operating experiments was studied at different pH, NP doses, operating times, stirring rates, and initial COD concentrations. The removal efficiencies were between 100 and 69% and between 100 and 800 mg/L for initial COD concentrations at pH 7, NP dose 0.6 g/L, 15 min, and 150 rpm. The adsorption isotherms were studied by applying nonlinear equations of Redlich-Peterson, Hill, Sips, Khan, Toth, Koble-Corrigan, Jovanovic, Freundlich, and Langmuir models. The obtained results indicated that Fe/Cu NPs accept both Koble–Corrigan and Freundlich models with the lowest ∑ = 1.3304. The kinetic analysis was carried by practicing nonlinear equations of pseudo first order (PFO), pseudo second order (PSO), and Elovich, Avrami, and intraparticle kinetic models. The obtained results indicated that Fe/Cu NPs accept the Avrami mechanism with the lowest ∑ = 0.046. The ANNs were trained 28 times and tested 8 times using network structure 6–3-1 indicating that the most significant operating parameter is the effect of concentration 100% followed by the effect of dose 61.1% with a small deviation between the predictive and actual results. RSM relations indicating the positive linear effect of the independent variable “pH,” “dose,” “time,” and “initial concentration” with p-value   0.05.

Wastewater treatment using nano bimetallic iron/copper, adsorption isotherm, kinetic studies, and artificial intelligence neural networks

This study aims to investigate the efficiency of a pilot prototype system comprising coagulation/flocculation, filtration, and nano-bimetallic iron/copper (Fe/Cu) degradation and adsorption units f...

https://journals.sagepub.com/doi/pdf/10.1177/18479804211041181

A prototype of textile wastewater treatment using coagulation and adsorption by Fe/Cu nanoparticles: Techno-economic and scaling-up studies:

Sono–degradation of Reactive Blue 19 in aqueous solution and synthetic textile industry wastewater by nanoscale zero–valent aluminum

Zero-valent metals proved high reactivity to adsorb and degrade various contaminants removal. The chemically prepared nZVAl was characterized using UV-Vis spectrum, X-ray diffraction (XRD), and sca...

https://journals.sagepub.com/doi/pdf/10.1177/1178622119878707

Nano Zero-Valent Aluminum (nZVAl) Preparation, Characterization, and Application for the Removal of Soluble Organic Matter with Artificial Intelligence, Isotherm Study, and Kinetic Analysis

Safaa M Ragheb

Papers

Nano Zero-Valent Aluminum (nZVAl) Preparation, Characterization, and Application for the Removal of Soluble Organic Matter with Artificial Intelligence, Isotherm Study, and Kinetic Analysis