Using fluorescence excitation-emission matrices to predict bitterness and pungency of virgin olive oil: A feasibility study

Beatriz Quintanilla-Casas, Åsmund Rinnan, Agustí Romero, Francesc Guardiola, Alba Tres, Stefania Vichi*, Rasmus Bro

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

12 Citations (Scopus)
18 Downloads (Pure)

Abstract

Unlike other food products, virgin olive oil must undergo an organoleptic assessment that is currently based on a trained human panel, which presents drawbacks that might affect the efficiency and robustness. Therefore, disposing of instrumental methods that could serve as screening tools to support sensory panels is of paramount importance. The present work aimed to explore excitation-emission fluorescence spectroscopy (EEFS) to predict bitterness and pungency, since both attributes are related with fluorophore compounds, such as polar phenols. Bitterness and pungency intensities of 250 samples were provided by an official sensory panel and used to build and compare partial least squares regressions (PLSR) with the excitation-emission matrix. Both PARAFAC scores and two-way unfolded data led to successful PLSR. The most relevant PARAFAC scores agreed with virgin olive oil phenolic spectra, evidencing that EEFS would be the fit-for-purpose screening tool to support the sensory panel.

Original languageEnglish
Article number133602
JournalFood Chemistry
Volume395
Number of pages7
ISSN0308-8146
DOIs
Publication statusPublished - 2022

Bibliographical note

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Keywords

  • Bitterness
  • EEM
  • Fluorescence
  • PARAFAC
  • PLSR
  • Pungency
  • Virgin olive oil

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