Investigation of the Steady State Measurement Process
Author Information
Author(s): J. L. Nagy, L. Leisztner, K. M. Hangos
Primary Institution: Institute of Forensic Science, Hungarian Academy of Sciences
Hypothesis
Can the steady state of the measurement process be detected with respect to analytical information?
Conclusion
The proposed method effectively determines the presence of systematic and random errors in the measurement process.
Supporting Evidence
- The method allows for the separate determination of systematic and random errors.
- Control samples were used to evaluate the measurement process.
- Changes in sample composition were found to affect the steady state.
- Measurement results indicated the end of the steady state process.
Takeaway
This study looks at how to tell if a measurement process is stable and reliable, especially when measuring chemicals.
Methodology
The study used a method involving control samples and internal standards to evaluate the measurement process.
Potential Biases
Potential errors in sample preparation and measurement could affect the results.
Limitations
The ideal steady state is an abstraction that can only be approximated, and the method relies on specific conditions being met.
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