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Proficiency testing for event-specific quantification of genetically modified maize MON87427: Performance assessment
Di Wang1, Yue Fei1, Chunyan Niu1
1Center for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China.
This proficiency testing program for genetically modified maize MON87427 highlighted the need for improved measurement accuracy. Using traceable reference values is crucial for reliable assessment of genetically modified (GM) content quantification.
Area of Science:
- Metrology
- Genetically Modified Organisms (GMOs)
- Quantitative Analysis
Background:
- The Asia Pacific Metrology Program and Accreditation Cooperation organized a proficiency testing (PT) program for quantifying genetically modified maize.
- Certified reference materials were used to ensure accuracy and metrological traceability in the Asia Pacific region.
Purpose of the Study:
- To enhance measurement accuracy and metrological traceability for genetically modified (GM) maize quantification in the Asia Pacific region.
- To evaluate participant performance in quantifying GM maize MON87427 using certified reference materials and traceable reference values.
Main Methods:
- A proficiency testing program was conducted using certified reference materials of genetically modified maize MON87427.
- Participants' results were evaluated against metrologically traceable PT reference values (PTRVs).
- Performance was assessed using z-scores and ζ-scores to identify quantification bias and uncertainty estimation issues.
Main Results:
- Consensus values from participants exceeded assigned values, suggesting systematic DNA extraction effects.
- Participant performance, particularly when evaluated by ζ-score, indicated a need for improvement in quantification bias investigation.
- The study highlighted discrepancies between consensus values and assigned values, impacting performance evaluation.
Conclusions:
- Metrologically traceable reference values are essential for reliable PT performance assessment, outperforming consensus values.
- Enhanced understanding of uncertainty estimation and quantification bias is necessary for laboratories analyzing GM content.
- The program underscored the importance of robust metrological practices in GMO analysis.
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