Updating a Synchronous Fluorescence Spectroscopic Virgin Olive Oil Adulteration Calibration to a New Geographical Region

2011 ◽  
Vol 59 (4) ◽  
pp. 1051-1057 ◽  
Author(s):  
Matthew Ross Kunz ◽  
Joshua Ottaway ◽  
John H. Kalivas ◽  
Constantinos A. Georgiou ◽  
George A. Mousdis
2021 ◽  
Author(s):  
Hicham Zaroual ◽  
El Mestafa El Hadrami ◽  
Romdhane Karoui

This study examines the feasibility of using front face fluorescence spectroscopy (FFFS) to authenticate 41 virgin olive oil (VOO) samples collected from 5 regions in Morocco during 2 consecutive crop seasons.


Planta Medica ◽  
2008 ◽  
Vol 74 (09) ◽  
Author(s):  
M Dell'Agli ◽  
R Fagnani ◽  
G Galli ◽  
O Maschi ◽  
E de Fabiani ◽  
...  

2013 ◽  
Vol 10 (3) ◽  
pp. 231-237 ◽  
Author(s):  
Zahra Rabiei ◽  
Mohammad Bigdeli ◽  
Bahram Rasoulian
Keyword(s):  

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2298
Author(s):  
Pablo Cano Marchal ◽  
Chiara Sanmartin ◽  
Silvia Satorres Martínez ◽  
Juan Gómez Ortega ◽  
Fabio Mencarelli ◽  
...  

The organoleptic profile of a Virgin Olive Oil is a key quality parameter that is currently obtained by human sensory panels. The development of an instrumental technique capable of providing information about this profile quickly and online is of great interest. This work employed a general purpose e-nose, in lab conditions, to predict the level of fruity aroma and the presence of defects in Virgin Olive Oils. The raw data provided by the e-nose were used to extract a set of features that fed a regressor to predict the level of fruity aroma and a classifier to detect the presence of defects. The results obtained were a mean validation error of 0.5 units for the prediction of fruity aroma using lasso regression; and 88% accuracy for the defect detection using logistic regression. Finally, the identification of two out of ten specific sensors of the e-nose that can provide successful results paves the way to the design of low-cost specific electronic noses for this application.


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