An integral approach to validation of analytical fingerprinting methods in combination with chemometric modelling for food quality assurance

Grishja van der Veer*, Saskia M. van Ruth, Jos A. Hageman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

1 Citation (Scopus)

Abstract

Analytical fingerprinting in combination with chemometric modelling provides a powerful approach in the framework of food quality assurance. This recently emerging approach allows verifying claims regarding a whole range of food quality characteristics that were previously difficult or impossible to determine. These include claims regarding the nutritional composition, product typicality and method of production as well as the geographical origin of food. As such, the fingerprinting approach can for example be used to verify claims of fish being from a wild origin, or of eggs being organic. Since the fingerprinting approach differs from the classical analytical approach for food quality assurance, the existing protocols for validation of classical analytical methods are not directly applicable. To further standardize and harmonize the fingerprinting approach on an international level, an extension to existing validation protocols is required. This chapter provides a first step towards a further standardization by providing a tentative strategy for integral validation of the fingerprinting approach.

Original languageEnglish
Title of host publicationMathematical and Statistical Methods in Food Science and Technology
EditorsGastón Ares
PublisherWiley
Chapter23
Pages449-470
ISBN (Electronic)9781118434635
ISBN (Print)9781118433683
DOIs
Publication statusPublished - 27 Dec 2013

Keywords

  • Bootstrapping
  • Classification model
  • Cross-validation
  • Decision limit (CCα)
  • EC Directive 2002/657/EC, ISO 17025
  • External validation
  • Method validation
  • Performance characteristics
  • Repeatability
  • Reproducibility
  • Ruggedness, Stability
  • Selectivity, Detection limit (CCβ)
  • Sensitivity
  • Specificity

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