Quantitative Identification of Detrital Minerals by Mineral Characteristic Automatic Analysis System and Error Analysis with Traditional Microscopic Identification
The analysis of detrital minerals is widely used in the study of sediment sources and material diffusion, and is of great significance in analyzing sedimentary dynamic environment and oceanic dynamic characteristics. However, for a long time, the acquisition of detrital mineral data has relied mainl...
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Science Press, PR China
2024-09-01
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| Series: | Yankuang ceshi |
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| Online Access: | http://www.ykcs.ac.cn/article/doi/10.15898/j.ykcs.202310190163 |
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| author | Ze NING Lei XU Xuehui LIN Yuanyuan ZHANG Yong ZHANG |
| author_facet | Ze NING Lei XU Xuehui LIN Yuanyuan ZHANG Yong ZHANG |
| author_sort | Ze NING |
| collection | DOAJ |
| description | The analysis of detrital minerals is widely used in the study of sediment sources and material diffusion, and is of great significance in analyzing sedimentary dynamic environment and oceanic dynamic characteristics. However, for a long time, the acquisition of detrital mineral data has relied mainly on optical microscopes as tools and manual identification, which is labor-intensive and inefficient. In order to obtain scientific and effective mineral identification data in a timely fashion, a thermal field emission scanning electron microscopy with energy dispersive spectroscopy attached and an automated mineral identification and characterization system (AMICS) were used. For the first sample, 25 mineral species were identified by the AMICS system and 25 mineral species were identified by artificial identification with stereomicroscope and polarizing microscope. For the second sample, 26 mineral species were identified by the AMICS system, and 27 mineral species were identified by artificial identification. The two methods identified similar types of detrital minerals, and the absolute error of each mineral content was less than 5%. The AMICS system can be used to identify oxides (limonite, chromite, etc.), phosphates (apatite, etc.), sulfates (barite, etc.), sulfides (pyrite, etc.), carbonates (calcite, dolomite, etc.), and some silicates (zircon, titanite, olivine, quartz, potassium feldspar, sodium feldspar, garnet group, etc.) accurately but it is difficult to accurately identify polymorphic and isomorphic detrital minerals based solely on mineral chemical composition. The problem of layered silicate minerals easily falling off layer by layer during sample preparation needs to be solved. |
| format | Article |
| id | doaj-art-a893bf98e5434c4eb4a86d309c79bd0b |
| institution | OA Journals |
| issn | 0254-5357 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Science Press, PR China |
| record_format | Article |
| series | Yankuang ceshi |
| spelling | doaj-art-a893bf98e5434c4eb4a86d309c79bd0b2025-08-20T02:17:24ZengScience Press, PR ChinaYankuang ceshi0254-53572024-09-0143571372210.15898/j.ykcs.202310190163yk202310190163Quantitative Identification of Detrital Minerals by Mineral Characteristic Automatic Analysis System and Error Analysis with Traditional Microscopic IdentificationZe NING0Lei XU1Xuehui LIN2Yuanyuan ZHANG3Yong ZHANG4Qingdao Institute of Marine Geology, China Geological Survey, Qingdao 266237, ChinaQingdao Institute of Marine Geology, China Geological Survey, Qingdao 266237, ChinaQingdao Institute of Marine Geology, China Geological Survey, Qingdao 266237, ChinaQingdao Institute of Marine Geology, China Geological Survey, Qingdao 266237, ChinaQingdao Institute of Marine Geology, China Geological Survey, Qingdao 266237, ChinaThe analysis of detrital minerals is widely used in the study of sediment sources and material diffusion, and is of great significance in analyzing sedimentary dynamic environment and oceanic dynamic characteristics. However, for a long time, the acquisition of detrital mineral data has relied mainly on optical microscopes as tools and manual identification, which is labor-intensive and inefficient. In order to obtain scientific and effective mineral identification data in a timely fashion, a thermal field emission scanning electron microscopy with energy dispersive spectroscopy attached and an automated mineral identification and characterization system (AMICS) were used. For the first sample, 25 mineral species were identified by the AMICS system and 25 mineral species were identified by artificial identification with stereomicroscope and polarizing microscope. For the second sample, 26 mineral species were identified by the AMICS system, and 27 mineral species were identified by artificial identification. The two methods identified similar types of detrital minerals, and the absolute error of each mineral content was less than 5%. The AMICS system can be used to identify oxides (limonite, chromite, etc.), phosphates (apatite, etc.), sulfates (barite, etc.), sulfides (pyrite, etc.), carbonates (calcite, dolomite, etc.), and some silicates (zircon, titanite, olivine, quartz, potassium feldspar, sodium feldspar, garnet group, etc.) accurately but it is difficult to accurately identify polymorphic and isomorphic detrital minerals based solely on mineral chemical composition. The problem of layered silicate minerals easily falling off layer by layer during sample preparation needs to be solved.http://www.ykcs.ac.cn/article/doi/10.15898/j.ykcs.202310190163automated mineral identification and characterization system (amics)backscattered methoddetrital mineralscanning electron microscopy-energy dispersive x-ray spectrometer |
| spellingShingle | Ze NING Lei XU Xuehui LIN Yuanyuan ZHANG Yong ZHANG Quantitative Identification of Detrital Minerals by Mineral Characteristic Automatic Analysis System and Error Analysis with Traditional Microscopic Identification Yankuang ceshi automated mineral identification and characterization system (amics) backscattered method detrital mineral scanning electron microscopy-energy dispersive x-ray spectrometer |
| title | Quantitative Identification of Detrital Minerals by Mineral Characteristic Automatic Analysis System and Error Analysis with Traditional Microscopic Identification |
| title_full | Quantitative Identification of Detrital Minerals by Mineral Characteristic Automatic Analysis System and Error Analysis with Traditional Microscopic Identification |
| title_fullStr | Quantitative Identification of Detrital Minerals by Mineral Characteristic Automatic Analysis System and Error Analysis with Traditional Microscopic Identification |
| title_full_unstemmed | Quantitative Identification of Detrital Minerals by Mineral Characteristic Automatic Analysis System and Error Analysis with Traditional Microscopic Identification |
| title_short | Quantitative Identification of Detrital Minerals by Mineral Characteristic Automatic Analysis System and Error Analysis with Traditional Microscopic Identification |
| title_sort | quantitative identification of detrital minerals by mineral characteristic automatic analysis system and error analysis with traditional microscopic identification |
| topic | automated mineral identification and characterization system (amics) backscattered method detrital mineral scanning electron microscopy-energy dispersive x-ray spectrometer |
| url | http://www.ykcs.ac.cn/article/doi/10.15898/j.ykcs.202310190163 |
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