Modern meals testing not often includes clear, excellent samples. As matrices change into fattier, darker, and extra chemically advanced, analytical workflows are pushed past their limits, exposing weaknesses that compromise confidence in outcomes. Laboratories too typically take care of false positives, false negatives, repeat runs, and downtime attributable to strategies that aren’t optimized for real-world situations.
In this Teach Me in 10, Phil Taylor, Marketing Lead of Food and Environmental at PerkinElmer, explores what ruggedness actually means and the way rugged workflows preserve stability, sensitivity, and consistency throughout difficult samples and lengthy analytical runs.
Watch this episode to find:
- Why non-rugged strategies fail in high-matrix meals testing
- How rugged workflow design protects knowledge high quality over time
- Practical examples that cut back intervention whereas bettering reliability
Further assets