CHEMICAL AND MINERALOGICAL CHARACTERIZATION OF ITAKPE IRON ORE MINE WASTES (TAILINGS)

ABSTRACT Samples of Itakpe Iron Ore waste dump (tailings) were collected using random sampling method from different locations at the tailings dump sites Of National Iron Ore Mining Company (NIOMCO) in Itakpe, Kogi State, Nigeria and properly homogenized to give the head sample. The head sample was chemically analyzed using Energy Dispersive X-Ray Fluorescence Spectrometry (ED-XRFS). Mineralogical analysis was carried out using X-ray Diffraction and Scanning Electron Microscopy (SEM) coupled with Energy Dispersive X-ray Spectroscopy (SEM-EDX). The result showed that it contains 27.71 % Fe203, 70.1 % Si02, and other trace compounds. The qualitative and quantitative XRD analysis of the crude revealed different mineral peaks of which 20.05% Fe203 and 68.41 % Si02 are the major constituents of the ore matrix. SEM micrographs obtained revealed the interlocking nature Of the minerals constituting the ore matrix. EDX analysis Of regions within the Ore matrix revealed the presence Of C, O, Al, Si, Fe, Cu, Mg, P and K; such that silicon and iron are the major elemental constituents of the ore matrix while Other elements exists in trace form. The crude sample Of Itakpe Iron Ore dumped tailings has been found to be coarsely packed and interlocked a haematite rich mineral with magnetite and silica with silica as major impurity. However, easy liberation was facilitated by communition due to the coarsely packed nature Of ore matrix.

Authors

Institutions

Publication Details

Journal
JORMAR
Published
2026-11-11
DOI
https://doi.org/10.83043/kcfnyq81
Primary Topic
Tailings Management and Properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

CHEMICAL AND MINERALOGICAL CHARACTERIZATION OF ITAKPE IRON ORE MINE WASTES (TAILINGS)

Olatunji T. A., Alabi O.O., Y., Gbadamosi,, Ola-Omole 0.0
JORMAR
Tailings Management and Properties
article

CHEMICAL AND MINERALOGICAL CHARACTERIZATION OF ITAKPE IRON ORE MINE WASTES (TAILINGS)

Olatunji T. A., Alabi O.O., Y., Gbadamosi,, Ola-Omole 0.0
article en

Abstract

ABSTRACT Samples of Itakpe Iron Ore waste dump (tailings) were collected using random sampling method from different locations at the tailings dump sites Of National Iron Ore Mining Company (NIOMCO) in Itakpe, Kogi State, Nigeria and properly homogenized to give the head sample. The head sample was chemically analyzed using Energy Dispersive X-Ray Fluorescence Spectrometry (ED-XRFS). Mineralogical analysis was carried out using X-ray Diffraction and Scanning Electron Microscopy (SEM) coupled with Energy Dispersive X-ray Spectroscopy (SEM-EDX). The result showed that it contains 27.71 % Fe203, 70.1 % Si02, and other trace compounds. The qualitative and quantitative XRD analysis of the crude revealed different mineral peaks of which 20.05% Fe203 and 68.41 % Si02 are the major constituents of the ore matrix. SEM micrographs obtained revealed the interlocking nature Of the minerals constituting the ore matrix. EDX analysis Of regions within the Ore matrix revealed the presence Of C, O, Al, Si, Fe, Cu, Mg, P and K; such that silicon and iron are the major elemental constituents of the ore matrix while Other elements exists in trace form. The crude sample Of Itakpe Iron Ore dumped tailings has been found to be coarsely packed and interlocked a haematite rich mineral with magnetite and silica with silica as major impurity. However, easy liberation was facilitated by communition due to the coarsely packed nature Of ore matrix.

JORMAR
Federal University of Technology (NG)
Tailings Management and Properties
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon