A screen-printed electrode was modified using multi-walled carbon nanotubes (MWCNT) and titanium oxide nanoparticles (TiO2), with a bio-based ionic liquid (RTIL) as a drop-casting medium. The RTILs here used have been proved to be useful for immobilizing nanomaterials on the working electrode surface. The proposed platform has been used to analyze extra-virgin olive oils (EVOOs), produced with olives of known cultivar and geographic origin. The EVOOs were produced with the olives that have been collected in the Italian region of Lazio during 2016, 2017 and 2018 harvesting seasons. The analyses of the oils were done by means of cyclic voltammetry measures. The results here obtained encourage the establishment of criteria for the classification of oils in terms of the corresponding cultivar. Both the electrode modification and the olive oil analysis do not involve any organic solvents. Therefore, the proposed approach represents an environmentally friendly method for field analyses of EVOOs. © 2019 Elsevier Ltd

A new electrochemical sensor for extra-virgin olive oils classification / Zappi, Daniele; Sadun, Claudia; Gontrani, Lorenzo; Dini, Danilo; Antonelli, Marta Letizia. - In: FOOD CONTROL. - ISSN 0956-7135. - 109:(2020). [10.1016/j.foodcont.2019.106903]

A new electrochemical sensor for extra-virgin olive oils classification

Zappi, Daniele
Investigation
;
Sadun, Claudia
Supervision
;
Gontrani, Lorenzo
Conceptualization
;
Dini, Danilo;Antonelli, Marta Letizia
Formal Analysis
2020

Abstract

A screen-printed electrode was modified using multi-walled carbon nanotubes (MWCNT) and titanium oxide nanoparticles (TiO2), with a bio-based ionic liquid (RTIL) as a drop-casting medium. The RTILs here used have been proved to be useful for immobilizing nanomaterials on the working electrode surface. The proposed platform has been used to analyze extra-virgin olive oils (EVOOs), produced with olives of known cultivar and geographic origin. The EVOOs were produced with the olives that have been collected in the Italian region of Lazio during 2016, 2017 and 2018 harvesting seasons. The analyses of the oils were done by means of cyclic voltammetry measures. The results here obtained encourage the establishment of criteria for the classification of oils in terms of the corresponding cultivar. Both the electrode modification and the olive oil analysis do not involve any organic solvents. Therefore, the proposed approach represents an environmentally friendly method for field analyses of EVOOs. © 2019 Elsevier Ltd
2020
olive oils; cultivar; sensor; bio-based RTIL; nanomaterials; screen-printed electrode
01 Pubblicazione su rivista::01a Articolo in rivista
A new electrochemical sensor for extra-virgin olive oils classification / Zappi, Daniele; Sadun, Claudia; Gontrani, Lorenzo; Dini, Danilo; Antonelli, Marta Letizia. - In: FOOD CONTROL. - ISSN 0956-7135. - 109:(2020). [10.1016/j.foodcont.2019.106903]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1315673
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