ARES - AI for fluoREscence Spectroscopy in oil

Description

Extra virgin olive oil is very beneficial to our health due to its anti-inflammatory and antioxidant activity. Only a fifth of the extra virgin olive oils sold in Switzerland met the quality's requirements. This project aims to investigate a new method for the analysis of extra virgin olive oils through optical non-invasive and contactless measuring techniques combined with artificial intelligence. The measuring principle is fluorescence spectroscopy fingerprinting, which offers a detailed insight into substance's chemical composition. However, olive oil's fluorescent fingerprint contains a large amount of "encoded" chemical information that is very hard to extract. Artificial intelligence algorithms can be the solution to "decode" this information.

Key Data

Projectlead

Prof. Dr. Francesca Venturini

Project team

Silvan Fluri

Project partners

Scuola universitaria professionale della Svizzera italiana SUPSI / Dalle Molle Institute for Artificial Intelligence IDSIA

Project status

completed, 04/2021 - 12/2021

Funding partner

Hasler Stiftung

Publications

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