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Measurement uncertainty.

Veronika R Meyer¹

¹EMPA St. Gallen, Swiss Federal Laboratories for Materials Testing and Research, Lerchenfeldstrasse 5, CH-9014 St. Gallen, Switzerland. veronika.meyer@empa.ch

Journal of Chromatography. A

|March 16, 2007

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Measurement uncertainty quantifies result fluctuations, exceeding simple repeatability and intra-laboratory reproducibility. Proper determination is crucial, avoiding underestimation by using only repeatability data.

Area of Science:

Analytical Chemistry
Metrology
Statistical Analysis

Background:

Measurement uncertainty is a key statistical parameter indicating potential result variations.
It is distinct from and generally higher than repeatability and intra-laboratory reproducibility.
For general analytical procedures, it meets or exceeds inter-laboratory reproducibility.

Purpose of the Study:

To clarify the nature and determination of measurement uncertainty.
To emphasize the importance of accurate uncertainty reporting.
To guide practices for achieving low measurement uncertainty.

Main Methods:

Determining uncertainty by summing variances of individual test procedure steps.
Calculating uncertainty from established reproducibility data (intra-laboratory or inter-laboratory).

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Main Results:

Measurement uncertainty is a comprehensive measure of potential result deviations.
Incorrectly reporting repeatability as uncertainty leads to underestimation.
Established methods exist for calculating measurement uncertainty.

Conclusions:

Accurate determination and reporting of measurement uncertainty are vital in analytical science.
Understanding the relationship between uncertainty, repeatability, and reproducibility is essential.
Adhering to sound working principles facilitates the achievement of low measurement uncertainty.