Developing Algorithms to Infer Mineralogy of Particles in Taylor Glacier Ice Cores from Elemental Composition Data Measured by spICP-TOFMS and TEM-EDXS

The mineralogy of atmospheric particles affects the amount of light scattered and absorbed by these particles as they pass through the atmosphere. A classification system described in this thesis was developed to automatically infer mineralogy of particles based on their measured elemental chemical...

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Bibliographic Details
Main Author: Smith, Andrew
Other Authors: Olesik, John
Format: Thesis
Language:English
Published: The Ohio State University 2024
Subjects:
Online Access:https://kb.osu.edu/handle/1811/104339
id ftohiostateu:oai:kb.osu.edu:1811/104339
record_format openpolar
spelling ftohiostateu:oai:kb.osu.edu:1811/104339 2024-06-02T08:15:11+00:00 Developing Algorithms to Infer Mineralogy of Particles in Taylor Glacier Ice Cores from Elemental Composition Data Measured by spICP-TOFMS and TEM-EDXS Smith, Andrew Olesik, John 2024-05 application/pdf https://kb.osu.edu/handle/1811/104339 en_US eng The Ohio State University The Ohio State University. School of Earth Sciences Undergraduate Research Theses https://kb.osu.edu/handle/1811/104339 Glacier Mineralogy microparticle dust Thesis 2024 ftohiostateu 2024-05-06T11:04:57Z The mineralogy of atmospheric particles affects the amount of light scattered and absorbed by these particles as they pass through the atmosphere. A classification system described in this thesis was developed to automatically infer mineralogy of particles based on their measured elemental chemical composition and the elemental chemical composition of known minerals. When comparing the particle's elemental composition to preset ranges for each mineral, if a particle falls within that range, it is marked as elementally similar to that mineral. When each ratio is converted to python code and applied to elemental composition output files, each particle can be labeled as any chemically similar mineral. The elemental chemical composition of hundreds of thousands to millions of particles atmospheric particles entrapped in glacial ice samples can be measured using single particle Inductively Coupled Plasma-Time of Flight Mass Spectrometry (spICP-TOFMS) in about 2 hours (consuming only about 4 mL of melted ice). A spICP-TOFMS can measure the total number of particles per mL, elemental composition of each particle, and the particle size (mass equivalent diameter). This system of inferring mineralogy was assessed by comparison to Transmission Electron Microscope-Energy Dispersive X-ray Spectroscopy (TEM-EDXS) analysis of a limited (50) number of particles from Taylor Glacier samples with manual inference of mineralogy. The system described in this thesis was also used to infer mineralogy of mineral standards whose elemental composition was measured using spICP-TOFMS. After comparisons to multiple methods of inferring mineralogy, the system within this thesis was used to analyze samples of Taylor glacier measured by spICP-TOFMS. A one-year embargo was granted for this item. Academic Major: Earth Sciences Academic Major: Chemistry Thesis Taylor Glacier Ohio State University (OSU): Knowledge Bank Taylor Glacier ENVELOPE(162.167,162.167,-77.733,-77.733)
institution Open Polar
collection Ohio State University (OSU): Knowledge Bank
op_collection_id ftohiostateu
language English
topic Glacier
Mineralogy
microparticle
dust
spellingShingle Glacier
Mineralogy
microparticle
dust
Smith, Andrew
Developing Algorithms to Infer Mineralogy of Particles in Taylor Glacier Ice Cores from Elemental Composition Data Measured by spICP-TOFMS and TEM-EDXS
topic_facet Glacier
Mineralogy
microparticle
dust
description The mineralogy of atmospheric particles affects the amount of light scattered and absorbed by these particles as they pass through the atmosphere. A classification system described in this thesis was developed to automatically infer mineralogy of particles based on their measured elemental chemical composition and the elemental chemical composition of known minerals. When comparing the particle's elemental composition to preset ranges for each mineral, if a particle falls within that range, it is marked as elementally similar to that mineral. When each ratio is converted to python code and applied to elemental composition output files, each particle can be labeled as any chemically similar mineral. The elemental chemical composition of hundreds of thousands to millions of particles atmospheric particles entrapped in glacial ice samples can be measured using single particle Inductively Coupled Plasma-Time of Flight Mass Spectrometry (spICP-TOFMS) in about 2 hours (consuming only about 4 mL of melted ice). A spICP-TOFMS can measure the total number of particles per mL, elemental composition of each particle, and the particle size (mass equivalent diameter). This system of inferring mineralogy was assessed by comparison to Transmission Electron Microscope-Energy Dispersive X-ray Spectroscopy (TEM-EDXS) analysis of a limited (50) number of particles from Taylor Glacier samples with manual inference of mineralogy. The system described in this thesis was also used to infer mineralogy of mineral standards whose elemental composition was measured using spICP-TOFMS. After comparisons to multiple methods of inferring mineralogy, the system within this thesis was used to analyze samples of Taylor glacier measured by spICP-TOFMS. A one-year embargo was granted for this item. Academic Major: Earth Sciences Academic Major: Chemistry
author2 Olesik, John
format Thesis
author Smith, Andrew
author_facet Smith, Andrew
author_sort Smith, Andrew
title Developing Algorithms to Infer Mineralogy of Particles in Taylor Glacier Ice Cores from Elemental Composition Data Measured by spICP-TOFMS and TEM-EDXS
title_short Developing Algorithms to Infer Mineralogy of Particles in Taylor Glacier Ice Cores from Elemental Composition Data Measured by spICP-TOFMS and TEM-EDXS
title_full Developing Algorithms to Infer Mineralogy of Particles in Taylor Glacier Ice Cores from Elemental Composition Data Measured by spICP-TOFMS and TEM-EDXS
title_fullStr Developing Algorithms to Infer Mineralogy of Particles in Taylor Glacier Ice Cores from Elemental Composition Data Measured by spICP-TOFMS and TEM-EDXS
title_full_unstemmed Developing Algorithms to Infer Mineralogy of Particles in Taylor Glacier Ice Cores from Elemental Composition Data Measured by spICP-TOFMS and TEM-EDXS
title_sort developing algorithms to infer mineralogy of particles in taylor glacier ice cores from elemental composition data measured by spicp-tofms and tem-edxs
publisher The Ohio State University
publishDate 2024
url https://kb.osu.edu/handle/1811/104339
long_lat ENVELOPE(162.167,162.167,-77.733,-77.733)
geographic Taylor Glacier
geographic_facet Taylor Glacier
genre Taylor Glacier
genre_facet Taylor Glacier
op_relation The Ohio State University. School of Earth Sciences Undergraduate Research Theses
https://kb.osu.edu/handle/1811/104339
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