Botanical and geographical assessment of Greek thyme honey by visible/NIR spectroscopy and pattern recognition

  • Carolina S. Silva*
  • , Owen Falzon
  • , Vasilis Valdramidis
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

New methodology for quality assurance and authentication of honey samples is propose. Geographical and botanical origins of honey samples were assessed by means of a non-destructive methodology based on visible/near-infrared spectroscopy and classification techniques. Principal component analysis has shown significant differences among thyme Greek honey and other honey types. Classification models showed promising results with specificity and sensitivity values up to 86.1% and 100%, respectively.

Original languageEnglish
Title of host publication12th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2022
EditorsJan F.M. Van Impe, Monika E. Polanska
PublisherEurosis-ETI
Pages156-158
Number of pages3
ISBN (Electronic)9789492859204
Publication statusPublished - 2022
MoE publication typeA4 Article in a conference publication
Event12th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2022 - Ghent, Belgium
Duration: 3 Apr 20226 Apr 2022

Conference

Conference12th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2022
Country/TerritoryBelgium
CityGhent
Period3/04/226/04/22

Funding

This research was funded by PRIMA - EU project MEDIFIT: An interlinked digital platform for Food Integrity and Traceability of relevant MEDIterranean supply chains.

Keywords

  • food authenticity
  • Honey
  • one-class classification
  • spectroscopy

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