Characterization and Classification of Coal Using Spectroscopic and Proximate Techniques: A Case Study of Coal from Azagba, Nigeria

Nigeria's coal reserves remain largely underutilizedin contrast to its more extensively developedoil andgas resources. The application potentialofcoal is influencedby its structural and chemical characteristics. This study focuses on the analysis of Azagba coal using various techniques, including X-ray fluorescence (XRF), X-ray diffraction (XRD), proximate and ultimate analyses, and Fourier-transform infrared spectroscopy (FTIR). Inorganic analysis reveals a dominant presence ofSiO3 (53.65%), SO3 (16.18%), and Al2O3 (7.09%), indicating a siliceous composition. XRD analysis confirms a high proportion of graphite crystalline phase (82%) and minerals such as quartz, marialite, and calcite. Key structural indicators—interlayer spacing (d002 = 3.38 Å) and stacking height (Lc = 57.32 nm)—suggest a wellorderedcarbon framework. FTIR spectra further reveal hydroxyl (-OH), aliphatic (C-H), andvarious oxygen-containing groups, with a high aromatic hydrogen ratio (Hal/H= 0.49) andsignificant aromaticity (fa = 0.68). The proximate andultimate analyses classify Azagba coal as a high-rank, volatile bituminous to anthracite type, marked by a high fixed carbon content (59.47%) and low ash content (1.13%). These attributes emphasize the coal's structural maturity, reactivity potential, and industrialapplicability

Authors

Publication Details

Journal
Journal Of Engineering Research Innovation And Scientific Development
Published
2025-06-21
DOI
https://doi.org/10.61448/jerisd33252
Primary Topic
Mineral Processing and Grinding
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterization and Classification of Coal Using Spectroscopic and Proximate Techniques: A Case Study of Coal from Azagba, Nigeria

Mike U. Ajieh, K. Owebor, R.N. Agbale, L.O Madagwu
Journal Of Engineering Research Innovation And Scientific Development
Mineral Processing and Grinding
article

Characterization and Classification of Coal Using Spectroscopic and Proximate Techniques: A Case Study of Coal from Azagba, Nigeria

Mike U. Ajieh, K. Owebor, R.N. Agbale, L.O Madagwu
article en

Abstract

Nigeria's coal reserves remain largely underutilizedin contrast to its more extensively developedoil andgas resources. The application potentialofcoal is influencedby its structural and chemical characteristics. This study focuses on the analysis of Azagba coal using various techniques, including X-ray fluorescence (XRF), X-ray diffraction (XRD), proximate and ultimate analyses, and Fourier-transform infrared spectroscopy (FTIR). Inorganic analysis reveals a dominant presence ofSiO3 (53.65%), SO3 (16.18%), and Al2O3 (7.09%), indicating a siliceous composition. XRD analysis confirms a high proportion of graphite crystalline phase (82%) and minerals such as quartz, marialite, and calcite. Key structural indicators—interlayer spacing (d002 = 3.38 Å) and stacking height (Lc = 57.32 nm)—suggest a wellorderedcarbon framework. FTIR spectra further reveal hydroxyl (-OH), aliphatic (C-H), andvarious oxygen-containing groups, with a high aromatic hydrogen ratio (Hal/H= 0.49) andsignificant aromaticity (fa = 0.68). The proximate andultimate analyses classify Azagba coal as a high-rank, volatile bituminous to anthracite type, marked by a high fixed carbon content (59.47%) and low ash content (1.13%). These attributes emphasize the coal's structural maturity, reactivity potential, and industrialapplicability

Journal Of Engineering Research Innovation And Scientific DevelopmentVol. 3(3)
Openalex Percentile: Top 81%
Mineral Processing and Grinding
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.