Use of triacylglycerol profiles established by HPLC–UV and ELSD to predict cultivar and maturity of Tunisian olive oils

2016 ◽  
Vol 242 (10) ◽  
pp. 1607-1619 ◽  
Author(s):  
Marwa Abdallah ◽  
María Vergara-Barberán ◽  
María Jesús Lerma-García ◽  
José Manuel Herrero-Martínez ◽  
Mokhtar Zarrouk ◽  
...  
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 ◽  
2014 ◽  
Vol 80 (16) ◽  
Author(s):  
A Argyropoulou ◽  
D Benaki ◽  
M Spraul ◽  
H Schaefer ◽  
AL Skaltsounis ◽  
...  
Keyword(s):  

2014 ◽  
Vol 10 (3) ◽  
pp. 234-240 ◽  
Author(s):  
Costantina Barbarisi ◽  
Michele Stasio ◽  
Francesco Cara ◽  
Melissa Nazzaro ◽  
Francesco Siano ◽  
...  

2020 ◽  
Vol 311 ◽  
pp. 126044 ◽  
Author(s):  
Sonia Esposto ◽  
Roberto Selvaggini ◽  
Agnese Taticchi ◽  
Gianluca Veneziani ◽  
Beatrice Sordini ◽  
...  

2016 ◽  
Vol 242 (10) ◽  
pp. 1693-1708 ◽  
Author(s):  
Antonietta Baiano ◽  
Maria Assunta Previtali ◽  
Ilaria Viggiani ◽  
Gabriella Varva ◽  
Giacomo Squeo ◽  
...  

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.


Molecules ◽  
2021 ◽  
Vol 26 (8) ◽  
pp. 2233
Author(s):  
Francesca Calò ◽  
Chiara Roberta Girelli ◽  
Federica Angilè ◽  
Laura Del Coco ◽  
Lucia Mazzi ◽  
...  

Considering the growing number of extra virgin olive oil (EVOO) producers in the world, knowing the influence of olive oils with different geographical origins on the characteristics of the final blend becomes an interesting goal. The present work is focused on commercial organic EVOO blends obtained by mixing multiple oils from different geographical origins. These blends have been studied by 1H-NMR spectroscopy supported by multivariate statistical analysis. Specific characteristics of commercial organic EVOO blends originated by mixing oils from Italy, Tunisia, Portugal, Spain, and Greece were found to be associated with the increasing content of the Italian component. A linear progression of the metabolic profile defined characteristics for the analysed samples—up to a plateau level—was found in relation to the content of the main constituent of the Italian oil, the monocultivar Coratina. The Italian constituent percentage appears to be correlated with the fatty acids (oleic) and the polyphenols (tyrosol, hydroxytyrosol, and derivatives) content as major and minor components respectively. These results, which highlight important economic aspects, also show the utility of 1H-NMR associated with chemometric analysis as a powerful tool in this field. Mixing oils of different national origins, to obtain blends with specific characteristics, could be profitably controlled by this methodology.


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