Nanoscale Automated Quantitative Mineralogy: A 200-nm Quantitative Mineralogy Assessment of Fault Gouge Using Mineralogic
Effective energy-dispersive X-ray spectroscopy analysis (EDX) with a scanning electron microscope of fine-grained materials (submicrometer scale) is hampered by the interaction volume of the primary electron beam, whose diameter usually is larger than the size of the grains to be analyzed. Therefore...
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ftmdpi:oai:mdpi.com:/2075-163X/9/11/665/ 2023-08-20T04:06:56+02:00 Nanoscale Automated Quantitative Mineralogy: A 200-nm Quantitative Mineralogy Assessment of Fault Gouge Using Mineralogic Shaun Graham Nynke Keulen agris 2019-10-29 application/pdf https://doi.org/10.3390/min9110665 EN eng Multidisciplinary Digital Publishing Institute Mineral Deposits https://dx.doi.org/10.3390/min9110665 https://creativecommons.org/licenses/by/4.0/ Minerals; Volume 9; Issue 11; Pages: 665 scanning electron microscopy (SEM) automated quantitative analysis (AQM) spectrum quantification signal deconvolution fault gouge 200-nm resolution grain size distribution Ikkattup nunaa mineral maps submicrometer Text 2019 ftmdpi https://doi.org/10.3390/min9110665 2023-07-31T22:44:30Z Effective energy-dispersive X-ray spectroscopy analysis (EDX) with a scanning electron microscope of fine-grained materials (submicrometer scale) is hampered by the interaction volume of the primary electron beam, whose diameter usually is larger than the size of the grains to be analyzed. Therefore, mixed signals of the chemistry of individual grains are expected, and EDX is commonly not applied to such fine-grained material. However, by applying a low primary beam acceleration voltage, combined with a large aperture, and a dedicated mineral classification in the mineral library employed by the Zeiss Mineralogic software platform, mixed signals could be deconvoluted down to a size of 200 nm. In this way, EDX and automated quantitative mineralogy can be applied to investigations of submicrometer-sized grains. It is shown here that reliable quantitative mineralogy and grain size distribution assessment can be made based on an example of fault gouge with a heterogenous mineralogy collected from Ikkattup nunaa Island, southern West Greenland. Text Greenland MDPI Open Access Publishing Greenland Minerals 9 11 665 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
scanning electron microscopy (SEM) automated quantitative analysis (AQM) spectrum quantification signal deconvolution fault gouge 200-nm resolution grain size distribution Ikkattup nunaa mineral maps submicrometer |
spellingShingle |
scanning electron microscopy (SEM) automated quantitative analysis (AQM) spectrum quantification signal deconvolution fault gouge 200-nm resolution grain size distribution Ikkattup nunaa mineral maps submicrometer Shaun Graham Nynke Keulen Nanoscale Automated Quantitative Mineralogy: A 200-nm Quantitative Mineralogy Assessment of Fault Gouge Using Mineralogic |
topic_facet |
scanning electron microscopy (SEM) automated quantitative analysis (AQM) spectrum quantification signal deconvolution fault gouge 200-nm resolution grain size distribution Ikkattup nunaa mineral maps submicrometer |
description |
Effective energy-dispersive X-ray spectroscopy analysis (EDX) with a scanning electron microscope of fine-grained materials (submicrometer scale) is hampered by the interaction volume of the primary electron beam, whose diameter usually is larger than the size of the grains to be analyzed. Therefore, mixed signals of the chemistry of individual grains are expected, and EDX is commonly not applied to such fine-grained material. However, by applying a low primary beam acceleration voltage, combined with a large aperture, and a dedicated mineral classification in the mineral library employed by the Zeiss Mineralogic software platform, mixed signals could be deconvoluted down to a size of 200 nm. In this way, EDX and automated quantitative mineralogy can be applied to investigations of submicrometer-sized grains. It is shown here that reliable quantitative mineralogy and grain size distribution assessment can be made based on an example of fault gouge with a heterogenous mineralogy collected from Ikkattup nunaa Island, southern West Greenland. |
format |
Text |
author |
Shaun Graham Nynke Keulen |
author_facet |
Shaun Graham Nynke Keulen |
author_sort |
Shaun Graham |
title |
Nanoscale Automated Quantitative Mineralogy: A 200-nm Quantitative Mineralogy Assessment of Fault Gouge Using Mineralogic |
title_short |
Nanoscale Automated Quantitative Mineralogy: A 200-nm Quantitative Mineralogy Assessment of Fault Gouge Using Mineralogic |
title_full |
Nanoscale Automated Quantitative Mineralogy: A 200-nm Quantitative Mineralogy Assessment of Fault Gouge Using Mineralogic |
title_fullStr |
Nanoscale Automated Quantitative Mineralogy: A 200-nm Quantitative Mineralogy Assessment of Fault Gouge Using Mineralogic |
title_full_unstemmed |
Nanoscale Automated Quantitative Mineralogy: A 200-nm Quantitative Mineralogy Assessment of Fault Gouge Using Mineralogic |
title_sort |
nanoscale automated quantitative mineralogy: a 200-nm quantitative mineralogy assessment of fault gouge using mineralogic |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2019 |
url |
https://doi.org/10.3390/min9110665 |
op_coverage |
agris |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_source |
Minerals; Volume 9; Issue 11; Pages: 665 |
op_relation |
Mineral Deposits https://dx.doi.org/10.3390/min9110665 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/min9110665 |
container_title |
Minerals |
container_volume |
9 |
container_issue |
11 |
container_start_page |
665 |
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1774718306617393152 |