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Using inductively coupled plasma-mass spectrometry for calibration transfer between environmental CRMs
1Analytical Chemistry Division, National Institute of Standards and Technology, Gaithersburg, MD 20899-8391, USA. turk@nist.gov
This study demonstrates a high-performance method for calibrating environmental reference materials using certified reference materials (CRMs). The technique yields measurement uncertainties comparable to the CRM
Area of Science:
- Environmental Science
- Analytical Chemistry
- Geochemistry
Background:
- Accurate elemental analysis of environmental samples is crucial for monitoring and research.
- Certified Reference Materials (CRMs) are essential for calibrating analytical instruments.
- Existing calibration methods may have limitations in achieving low measurement uncertainties.
Purpose of the Study:
- To develop and validate a high-performance methodology for multielement analysis of environmental reference materials.
- To establish a robust calibration transfer technique using CRMs.
- To propose novel applications for this calibration transfer method.
Main Methods:
- Utilized inductively coupled plasma-mass spectrometry (ICP-MS) for multielement analysis.
- Employed existing CRMs as calibration standards for the ICP-MS method.
- Implemented a high-performance analytical methodology to minimize comparison measurement uncertainties.
Main Results:
- Achieved comparison measurement uncertainties significantly lower than the certified values of the calibration CRMs.
- Determined values exhibited uncertainties nearly equivalent to those of the calibration CRMs.
- Successfully analyzed various environmental reference materials, including river sediment and coal samples.
Conclusions:
- The developed methodology offers a reliable and accurate approach for calibrating environmental reference materials.
- This calibration transfer technique enables precise re-certification of CRMs and establishes traceability between different CRMs.
- The method is effective for demonstrating the equivalence of CRMs, enhancing data comparability in environmental studies.
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