Abstract
In many food-processing industries laboratory analyses are applied to monitor the quality of products. Depending on results of analyses decisions are made in the conduct of industries, for example whether the quality of a final product is satisfactory, whether an adaption has to be made to the production process. The measuring inaccuracy of laboratory analyses is often noticed insufficiently. This article describes how statistical methods quantify the measuring inaccuracy, expressed in repeatability and reproducibility. With the help of this quantification the benefit of repeated analyses on the same sample can be calculated. Moreover control charts as used in Statistical Process Control (SPC) are applied to monitor quality of measurements by performing laboratory analyses on reference samples
| Original language | Dutch |
|---|---|
| Pages (from-to) | 16-18 |
| Journal | VMT |
| Volume | 37 |
| Issue number | 22 |
| Publication status | Published - 2004 |
Keywords
- food technology
- analytical methods
- statistical analysis
- meters
- testing
- methodology
- production processes
- process control
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