CODES – Centre for Ore Deposit and Earth Sciences
LA-ICP-MS DATA REDUCTION SOFTWARE
LEADER: | ||
TEAM MEMBERS: | ||
Ivan Belousov, Elena Lounejeva, Paul Olin | ||
COLLABORATORS: | ||
| Ashley Norris | Norris Scientific | |
PROJECT SUMMARY
2019
This project aims to develop comprehensive, user-friendly LA-ICP-MS data processing software, capable of:
- quantification of data acquired using multiple calibration standards and a range of internal standard elements;
- quantification of images depicting distribution of major and trace element concentrations in fine-grained multi-mineral aggregates of sulfides, silicates, phosphates and carbonates; and
- identification of mineral phases in, and sizes of, micro inclusions in minerals.
Activities in 2019 were directed towards developing algorithms for advanced U/Pb dating applications and for quantitative gold deportment in rock samples.
2018
This project aims to develop comprehensive, user-friendly LA-ICP-MS data processing software, capable of:
- quantification of data acquired using multiple calibration standards and a range of internal standard elements;
- quantification of images depicting distribution of major and trace element concentrations in fine-grained multi-mineral aggregates of sulfides, silicates, phosphates and carbonates; and
- identification of mineral phases in, and sizes of, micro inclusions in minerals.
Activities in 2018 were directed towards developing algorithms for advanced U-Pb dating applications and for quantitative gold deportment in concentrates of zoned pyrite.
2017
This project aims to develop comprehensive, user-friendly LA-ICP-MS data processing software, capable of:
- Quantification of data acquired using multiple calibration standards and a range of internal standard elements.
- Quantification of images depicting distribution of major and trace element concentrations in fine-grained multi-mineral aggregates of sulfides, silicates, phosphates and carbonates.
- Identification of mineral phases in, and sizes of, micro inclusions in minerals.
Activities in 2017 were directed towards developing the first public release of the software, which will include U-Pb dating calculations, analysis of isotopic compositions and interference corrections.
2016
This project, partially co-funded by Newcrest Mining (until April 2014) and Rio Tinto (from December 2014) as part of their support for the R&D program of the CODES Analytical Laboratories, aims to develop comprehensive, user-friendly LA-ICP-MS data processing software, capable of:
- Quantification of data acquired using multiple calibration standards and a range of internal standard elements.
- Quantification of images depicting distribution of major and trace element concentrations in fine-grained multi-mineral aggregates of sulfides, silicates, phosphates and carbonates.
- Identification of mineral phases in, and sizes of, micro inclusions in minerals.
Activities in 2016 were directed towards developing algorithms for automated identification of ablation time intervals, U-Pb dating calculations, analysis of isotopic compositions, and interference corrections. A new, fully functional beta-version was installed for testing in-house and at the Rio Tinto analytical facility.
2015
This project, partially co-funded by Newcrest Mining (until April 2014) and Rio Tinto (from December 2014) as part of their support for the R&D program of the CODES Analytical Laboratories, aims to develop comprehensive, user-friendly LA-ICP-MS data processing software, capable of:
- Quantification of data acquired using multiple calibration standards and a range of internal standard elements.
- Quantification of images depicting distribution of major and trace element concentrations in fine-grained multi-mineral aggregates of sulfides, silicates, phosphates and carbonates.
- Identification of mineral phases in, and sizes of, micro inclusions in minerals.
Activities in 2015 were directed toward developing algorithms for identification of time-resolved signals free of micro-inclusions; advanced handling of time-resolved instrumentation backgrounds and calibrations; and algorithms for un-mixing time-resolved signals recorded during ablation of fine-grained mineral aggregates. A fully functional beta-version was installed for testing in-house, and at the Rio Tinto analytical facility.