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Here you see the results of an interlaboratory trial. In this trial the same foods were analyzed by different laboratories. Each lab uses the analysis method that was normally used in their lab.

When you study the graphs you can see that the laboratories produce widely different values for macronutrients in common foods. This illustrates nicely how analytical methods and performance influence data quality. In the cases you will focus in more detail on these issues.

Several stages in the development of a Food Composition Database can influence the quality of the final data. For more information about how several stages in a FCDB program could influence data quality you can use the information buttons and study additional literature.