Mineralogical and Physico-Chemical Characterization of Raw Iron Ore from Bandjéli in Bassar Prefecture in Northern Togo
- 1 Laboratoire de Gestion Traitement et Valorisation des Déchets (GTVD), Université de Lomé, Faculté des Sciences, Lomé, Togo
- 2 Laboratoire de Gestion Traitement et Valorisation des Déchets (GTVD), Université de Lomé, Faculté des Sciences, Lomé, Togo
- 3 Université Claude Bernard Lyon 1, Laboratoire d’Automatique, de Génie des Procédés et de Génie Pharmaceutiques (LAGEPP), Bât CPE-Lyon, UMR CNRS 5007, Villeurbanne, France
- 4 Université Claude Bernard Lyon 1, Laboratoire d’Automatique, de Génie des Procédés et de Génie Pharmaceutiques (LAGEPP), Bât CPE-Lyon, UMR CNRS 5007, Villeurbanne, France
- 5 Université Claude Bernard Lyon 1, Centre technologique des Microstructures, Bât DARWIN B, 5 rue Raphael Dubois,Villeurbanne Cedex, France
- 6 Université Claude Bernard Lyon 1, Laboratoire des Matériaux et Interfaces (LMI), Bât Chevreul, UMR CNRS 5615, Villeurbanne Cedex, France
- 7 Laboratoire de Gestion Traitement et Valorisation des Déchets (GTVD), Université de Lomé, Faculté des Sciences, Lomé, Togo
Abstract
In order to contribute to the optimisation of industrial and domestic wastewater treatment using plasma-based methods coupled with photo-Fenton processes catalysed by natural iron ores extracted from soils, the physicochemical and mineralogical characterizations of these minerals were investigated. The characterizations were carried out by X-ray diffraction (XRD), scanning electron microscopy combined with energy dispersive spectroscopy (SEM-EDX), X-ray fluorescence spectroscopy (XRF), Fourier transform infrared spectroscopy (FTIR) and thermogravimetric analysis (TGA). X-ray fluorescence (XRF) analysis indicates a predominant presence of hematite, characterized by a high iron content of 95.84%. The sample exhibits a low concentration of gangue minerals, with 4.19% SiO 2 and 1.45% Al 2 O 3 , and low levels of undesirable elements (0.15% S; 0.04% P; 0.06% Mn; 0.02% Cr; 0.01% Sr). These compositional data serve as a critical baseline for advanced investigations in materials chemistry, process optimization in extractive metallurgy, and the development of environmentally sustainable resource management strategies.
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