A preliminary study on the potential of front face fluorescence spectroscopy for Italian mono-cultivar extra virgin olive oil discrimination

  • Dimas Firmanda Al Riza Laboratory of Biosensing Engineering, Graduate School of Agriculture, Kyoto University, Kyoto, Japan; Department of Agricultural Engineering, Faculty of Agricultural Technology, University of Brawijaya, Malang, Indonesia.
  • Naoshi Kondo Laboratory of Biosensing Engineering, Graduate School of Agriculture, Kyoto University, Kyoto, Japan.
  • Pasquale Catalano Department of Agriculture, Environment, and Food, University of Molise, Campobasso, Italy.
  • Ferruccio Giametta | ferruccio.giametta@unimol.it Laboratory of Biosensing Engineering, Graduate School of Agriculture, Kyoto University, Kyoto, Japan; Department of Agriculture, Environment, and Food, University of Molise, Campobasso, Italy. http://orcid.org/0000-0003-0825-2942

Abstract

Front-face fluorescence method has been used to obtain fluorescence excitation emission matrix (EEM) characteristic of various Italian monocultivar extra virgin olive oil (EVOO), Mixed EVOO, and lower grade virgin olive oil. Specific region of EEM has been explored using principle component analysis. It was found that EEM region of excitation 250-400 and emission 280-620 nm could be used to discriminate each sample type of different cultivar, mixed sample, and virgin olive oil sample. The important fluorescence peaks for the discrimination belong to unique combination of tocopherols, tocotrienols, phenolic compounds, oxidation products, and vitamin E. These results show that frontface fluorescence EEM spectroscopy has a potential to be used for monocultivar EVOO discrimination.

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Published
2018-10-22
Section
Original Articles
Keywords:
Spectroscopy, fluorescence, olive oil, optical properties, monocultivar.
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How to Cite
Al Riza, D. F., Kondo, N., Catalano, P., & Giametta, F. (2018). A preliminary study on the potential of front face fluorescence spectroscopy for Italian mono-cultivar extra virgin olive oil discrimination. Journal of Agricultural Engineering, 50(1), 5-11. https://doi.org/10.4081/jae.2018.877