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Abstract
Quality assurance and quality control (QA/QC) of analytical chemistry laboratory activities are essential to the validity and usefulness of resultant data. However, in themselves, conventional QA/QC measures will not always ensure that fraudulent data are not generated. Conventional QA/QC measures are based on the assumption that work will be done in good faith; to assure against fraudulent practices, QA/QC measures must be tailored to specific analyses protocols in anticipation of intentional misapplication of those protocols. Application of specific QA/QC measures to ensure against fraudulent practices result in an increased administrative burden being placed on the analytical process; accordingly, in keeping with graded QA philosophy, data quality objectives must be used to identify specific points of concern for special control to minimize the administrative impact.
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