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 language | English |
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| Title of host publication | 12th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2022 |
| Editors | Jan F.M. Van Impe, Monika E. Polanska |
| Publisher | Eurosis-ETI |
| Pages | 156-158 |
| Number of pages | 3 |
| ISBN (Electronic) | 9789492859204 |
| Publication status | Published - 2022 |
| MoE publication type | A4 Article in a conference publication |
| Event | 12th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2022 - Ghent, Belgium Duration: 3 Apr 2022 → 6 Apr 2022 |
Conference
| Conference | 12th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2022 |
|---|---|
| Country/Territory | Belgium |
| City | Ghent |
| Period | 3/04/22 → 6/04/22 |
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