Green synthesis and analysis of iron oxide nanoparticles for methylene blue degradation by Fenton-like process: Antimicrobial properties and integrated AI-GA modeling
Abstract
This article attempts to synthesize iron oxide nanoparticles (IONPs) using an eco-friendly method involving an aqueous extract of Ziziphus lotus leaf as a reducing, nucleating, and capping agent. This green synthesis presents a healthier alternative to conventional physicochemical approaches. The effects of precursor and leaf extract concentration, reaction time, and temperature on IONPs yield were analyzed using hybrid approach optimization based on Box-Behnken Design (BBD) and Genetic Algorithm-Artificial Neural Network (GA-ANN). The results indicated that reaction time and extract concentration significantly influence the dry weight of IONPs. Optimal conditions for biosynthesis, determined by GA-ANN, were found to be 1 h, 62 °C, 0.099 M precursor concentration, and 100 g/L extract concentration. Morphological, optical, structural, and catalytic properties of the IONPs were investigated using X-ray diffraction (XRD), UVvisible spectroscopy, Fourier-transform infrared spectroscopy (FTIR), and scanning electron microscopy (SEM-EDX). The biosynthesized IONPs, comprising a mix of magnetite (Fe
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| Título según WOS: | Green synthesis and analysis of iron oxide nanoparticles for methylene blue degradation by Fenton-like process: Antimicrobial properties and integrated AI-GA modeling |
| Título según SCOPUS: | Green synthesis and analysis of iron oxide nanoparticles for methylene blue degradation by Fenton-like process: Antimicrobial properties and integrated AI-GA modeling |
| Título de la Revista: | Inorganic Chemistry Communications |
| Volumen: | 176 |
| Editorial: | Elsevier B.V. |
| Fecha de publicación: | 2025 |
| Idioma: | English |
| DOI: |
10.1016/j.inoche.2025.114268 |
| Notas: | ISI, SCOPUS |