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Published on: December 22, 2023
Simple and cost-effective methods for precise analysis of trace element abundances in geological materials with
Shuo Chen1, Xiaohong Wang2, Yaoling Niu3
1Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Geology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266061, China; University of Chinese Academy of Sciences, Beijing 100049, China.
We developed simple methods to improve trace element analysis using Inductively Coupled Plasma Mass Spectrometry (ICP-MS) in geological samples. These techniques overcome digestion, interference, and drift issues, saving significant time.
Area of Science:
- Geochemistry
- Analytical Chemistry
Background:
- Inductively Coupled Plasma Mass Spectrometry (ICP-MS) is vital for trace element analysis in geological materials.
- Challenges include incomplete sample digestion, isobaric interferences, and instrumental drift, hindering accurate results.
Purpose of the Study:
- To develop practical, cost-effective methods for precise and rapid trace element determination using ICP-MS.
- To address and resolve common analytical challenges in geological sample analysis.
Main Methods:
- Optimized high-pressure digestion to re-dissolve fluoride complexes at 190°C for 2 hours.
- Developed an off-line procedure for straightforward isobaric interference correction using constant interference ratios.
- Implemented an off-line Excel VBA procedure for mass-time-intensity drift correction using quality-control solutions without internal standards.
Main Results:
- Achieved data agreement with international rock reference standards (<8% relative error, <5% precision).
- Demonstrated effective re-dissolution of fluoride complexes from refractory phases.
- Established a robust method for isobaric interference and instrumental drift correction.
Conclusions:
- The developed methods offer a significant improvement for trace element analysis in geological samples.
- These techniques are simple, cost-effective, and widely applicable, reducing analysis time by over 60%.
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