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Overview of Quality Assurance QA Principles

Two basic parameters should be considered when discussing analytical results accuracy ( absence of systematic errors ) and uncertainty (coefficient of variation or confidence interval) caused by random errors and random variations in the procedure. In this context, accuracy is of primary importance. However, if the uncertainty in a result is too high, it cannot be used for any conclusion concerning, for example, the quality of the environment or of food. An unacceptably high uncertainty renders the result useless. [Pg.20]

In the performance of an analysis, all basic principles of calibration, of elimination of sources of contamination and losses, and of correction for [Pg.20]


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