Dataset of Fluorescence EEM and UV Spectroscopy Data of Olive Oils during Ageing

Francesca Venturini (), Silvan Fluri and Michael Baumgartner
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Francesca Venturini: Institute of Applied Mathematics and Physics, Zurich University of Applied Sciences, 8401 Winterthur, Switzerland
Silvan Fluri: Institute of Applied Mathematics and Physics, Zurich University of Applied Sciences, 8401 Winterthur, Switzerland
Michael Baumgartner: Institute of Applied Mathematics and Physics, Zurich University of Applied Sciences, 8401 Winterthur, Switzerland

Data, 2023, vol. 8, issue 5, 1-6

Abstract: The dataset presented in this study encompasses fluorescence excitation–emission matrices (EEMs) and UV-spectroscopy data of 24 extra virgin olive oils (EVOOs) commercially available at supermarkets in Switzerland. To investigate the effect of thermal degradation, the samples were exposed to accelerated ageing at 60 ∘ C up to 53 days. EEMs and UV absorption parameters were measured in 10 ageing steps. The dataset can be used, for example, to predict one or multiple chemical parameters or to classify samples based on their quality from fluorescence spectra.

Keywords: fluorescence; UV spectroscopy; EEM; dataset; olive oil; quality control; thermal ageing (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2023
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