Abstract
Analytical results are a major source of data input into food composition databanks (FCDBs). However, the methodology used to obtain and assess analytical data may introduce imprecision and errors during the compilation process. EuroFIR will provide guidance on establishing appropriate quality assurance (QA) and quality control (QC) of data to support international harmonisation of a quality approach to analytical data production for FCDBs. Aspects based on reliability and comparability of data will be considered using available quality criteria such as implementation of EN ISO/IEC 17025 or good laboratory practice (GLP), sampling plan, sample handling, correct use of reference materials, traceability of the measurement process and participation in proficiency testing. To promote an improved understanding of quality criteria by all EuroFIR partners, examples of available quality information for FCDB data (by food item and component) will be disseminated. This will ensure a global consensus on what constitutes a fit-for-purpose FCDB data quality system in order to achieve similar interpretation of analytical results across the European Union and beyond.
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