Mohammed Berkani

TL;DR: The effectiveness of the process and the toxicity of the pharmaceutical pollutants and their by-products were evaluated and confirmed by the biological tests using liver and kidney of Mus musculus mice and the artificial neural network (ANN) modeling approach combined with genetic algorithm (GA) was applied.

TL;DR: It can be found that the doped Cu-PPy electrodes electrode is a new material with high electrochemical oxidation ability for phenol degradation in aqueous solutions.

TL;DR: This study focuses on artificial intelligence techniques used to generate optimum predictive models for pesticide decontamination processes using heterogeneous photocatalytic processes using cross-industry standard process (CRISP) methodology.

TL;DR: In this paper, the NiFe-Polyaniline (PANi) fibers were synthesized by oxidation of the monomer aniline on FTO (fluorine tin oxide) substrate.

TL;DR: In this paper, the photodegradation of an industrial azo dye C.I Basic Red 46 was examined in a fixed-bed photoreactor using UV-lamps simulated to the solar irradiation.

TL;DR: The literature that applied RSM to adsorption, advanced oxidation processes, coagulation/flocculation and electrocoagulation processes were critically reviewed and some suggestions are made for future studies.

TL;DR: In this article , the effects of pH, initial dye concentration, temperature, and contact duration on the biosorption capacity were investigated and optimized by batch experimental process, followed by the kinetics, equilibrium, and thermodynamics of biosorsorption were modeled.

TL;DR: In this article , the idea of using magnetic sensors in controlling and monitoring of pharmaceuticals, pesticides, heavy metals, and organic pollutants has been reviewed and future remarks and perspectives on magnetic nanosensors for controlling hazardous pollutants in water resources and environmental applications were explained.

TL;DR: In this paper, a FeTiO3/GO nanocomposite was synthesized through the ultrasound assisted method and the structural, morphological, and optical properties of the synthesized nanocomposition were characterized by TEM, XRD, EDS, XPS, BET, TGA, FTIR, and UV-visible techniques.

TL;DR: The effectiveness of the process and the toxicity of the pharmaceutical pollutants and their by-products were evaluated and confirmed by the biological tests using liver and kidney of Mus musculus mice and the artificial neural network (ANN) modeling approach combined with genetic algorithm (GA) was applied.