Related Experiment Videos
Quality assurance in biomarker measurement
1Finnish Institute of Occupational Health, Helsinki.
Toxicology Letters
|May 1, 1995
Summary
Quality assurance (QA) ensures analytical validity from sample collection to result interpretation. Effective QA programs control variations and utilize certified materials for accurate laboratory operations and biomarker evaluation.
Area of Science:
- Analytical Chemistry
- Laboratory Medicine
- Biomarker Analysis
Background:
- Quality assurance (QA) is critical for the validity of all analytical processes.
- QA must be adapted to diverse situations, including exposure levels, analytical methods, and usage contexts like risk assessment or routine testing.
Purpose of the Study:
- To outline the essential components and implementation strategies for robust quality assurance programs.
- To emphasize the metrological hierarchy of analytical methods for accuracy assessment.
- To highlight the role of QA in grading biomarkers and laboratories.
Main Methods:
- Controlling preanalytical and analytical variations.
- Utilizing certified materials and quality control programs (manuals, internal/external controls).
- Employing definitive and reference methods for accuracy assessment of routine methods.
Main Results:
- Implementation of QA programs requires adaptation to specific analytical contexts.
- Certified materials and quality control programs are key instruments for QA.
- A metrological hierarchy of methods is essential for validating routine measurements.
Conclusions:
- Effective QA programs are essential for ensuring the reliability of analytical results.
- QA enables the grading of biomarkers and laboratories, defining test significance and operational levels.
- Adaptable QA strategies are necessary for diverse analytical applications.