Abstract
The recognition and quantification of rare earth and yttrium (REY) minerals in coal is extremely important for understanding their geological origin and developing high-efficiency extraction techniques. This study developed an automated image analysis by scanning electron microscopy (AIA-SEM) method for characterizing REY minerals in coal. Carbon and copper were used as grey-scale calibration standard to assure the consistency per experiment and differentiate organic matter and minerals with different brightness. Two critical issues in determining REY including rapid recognition of fine REY-bearing particles and accurate classification and quantification of REY minerals in coal are resolved by (1) establishing grey threshold standard to locate REY-bearing grains and a two-step image scan; (2) developing classification criteria supplemented with spot- and EDS-mapping analysis for questionable particles. By using the established method, a total of 166 REY-bearing mineral grains were identified from 12,930 particles in a medium-volatile bituminous coal (REY concentration: 149.21 ppm; ash yield: 21.25%). It is found that Ca-REE flurocarbonates, monazite, and (Sc, Y)-bearing zircon are the dominant REY species in the studied coal sample. REE-aluminophosphates are also important hosts for REE in coal, with total amounts being >10%. REY minerals are fine in particle size. Over 50% of monazite, xenotime, Ca-REE flurocarbonate, and REE-aluminophosphate have particle size below 5 μm and monazite occurs mostly as submicron particle. Most REY minerals (> 60%) are embedded into coal macerals as included minerals. About 80% of REY-bearing phosphates and zircon are partly or completely encapsulated in clay minerals, whereas more than half of Ca-REY-fluorocarbonates mineral grains is free of other minerals.
| Original language | English |
|---|---|
| Article number | 104443 |
| Journal | International Journal of Coal Geology |
| Volume | 282 |
| DOIs | |
| State | Published - Feb 1 2024 |
Bibliographical note
Publisher Copyright:© 2024 Elsevier B.V.
Funding
This work was supported by National Key Research and Development Program of China ( 2021YFC2902002 ), National Natural Science Foundation of China ( 52006082 ), Project of Zhongyuan Critical Metals Laboratory ( GJJSGFYQ202333 ), Commonweal Project of Anhui Provincinal Geological Work ( 2023-sj-15 ). The authors greatly thanks the anonymous reviewers and Editor-in-Chief S. Dai for their constructive comments and suggestions on the research.
| Funders | Funder number |
|---|---|
| Project of Zhongyuan Critical Metals Laboratory | GJJSGFYQ202333, 2023-sj-15 |
| National Natural Science Foundation of China (NSFC) | 52006082 |
| National Natural Science Foundation of China (NSFC) | |
| National Key Basic Research and Development Program of China | 2021YFC2902002 |
| National Key Basic Research and Development Program of China |
Keywords
- Automated mineral analysis
- Mineral-coal/mineral association
- Particle size distribution
- REY mineral contents
ASJC Scopus subject areas
- Fuel Technology
- Geology
- Economic Geology
- Stratigraphy