Lecture_18.ppt - Quality Assurance and Quality Control...

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Quality Assurance and Quality Control Quality control refers to active measures taken to ensure the accuracy and precision of analytical results. Quality control is based on a written standard operating procedure (SOP) that specifies exactly what steps are to be followed from the collection of a sample all the way to how to calculate results from the raw data. Quality assurance describes quantitative indications that assess whether data quality requirements have been met. QA could include documentation showing that samples are preserved properly, that instruments are maintained, that variations of results from an instrument are small and random, and that the analyst passes periodic performance tests. QC consists of specific technical procedures such as the running of blanks or spiked samples to assess and control the measurement process, and QA refers to the management process which implements and documents effective QC.
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Method Development and Optimization An important question in selecting or developing an analytical method is “what are the data quality objectives?” What degree of accuracy and precision are required?
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