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Updated: Jul 16, 2026
07:08
Nanoparticle Tracking Analysis of Gold Nanoparticles in Aqueous Media through an Inter-Laboratory Comparison
Published on: October 20, 2020
Set-up and evaluation of interlaboratory studies.
Yvan Vander Heyden1, Johanna Smeyers-Verbeke
1Vrije Universiteit Brussel (VUB), Pharmaceutical Institute, Department of Analytical Chemistry and Pharmaceutical Technology, Laarbeeklaan 103, B-1090 Brussels, Belgium.
Journal of Chromatography. A
|March 7, 2007
Summary
This study details interlaboratory comparisons using precision, bias, and proficiency testing to evaluate method performance. It explains experimental setup, data evaluation, and using results to estimate measurement uncertainty.
Area of Science:
- Analytical Chemistry
- Metrology
Background:
- Interlaboratory comparisons are crucial for assessing analytical method performance across different laboratories.
- Standardized methods are needed to ensure reliable and comparable results in scientific testing.
Purpose of the Study:
- To describe the setup and execution of interlaboratory comparison studies.
- To outline methods for evaluating data from these comparisons.
- To address the application of interlaboratory data in estimating measurement uncertainty.
Main Methods:
- Method performance studies focusing on precision and bias.
- Proficiency testing schemes.
- Graphical and statistical data evaluation techniques.
- Utilizing interlaboratory data for uncertainty estimation.
Main Results:
- Established protocols for conducting interlaboratory comparisons.
- Demonstrated effective data analysis strategies for assessing method performance.
- Provided a framework for incorporating interlaboratory data into measurement uncertainty budgets.
Conclusions:
- Interlaboratory comparisons are essential for validating analytical methods.
- Rigorous experimental design and data analysis are key to successful comparisons.
- Interlaboratory data offers a robust approach to estimating measurement uncertainty.
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