An experimental investigation was performed on blend extra virgin olive oils (EVOOs) from different cultivars and EVOO from different olive monovarieties (Coratina, Leccino, Maiatica, Ogliarola) with the aim to evaluate the possibility of estimating the perceived bitterness intensity by using chemical indices, such as the total phenol content and the compounds responsible for oil bitterness measured spectrophotometrically at 225 nm (K225 value), as bitterness predictors in different EVOO. Therefore, a bitterness predictive model, based on the relationship between the perceived bitterness intensity of the selected stimuli andthe chosen chemicals parameters has been built and validated. The results indicated that the oil bitternessintensity could be satisfactorily predicted by using the K225 values of oil samples.

Extra virgin olive oil bitterness evaluation by sensory and chemical analyses

Favati, Fabio;
2013

Abstract

An experimental investigation was performed on blend extra virgin olive oils (EVOOs) from different cultivars and EVOO from different olive monovarieties (Coratina, Leccino, Maiatica, Ogliarola) with the aim to evaluate the possibility of estimating the perceived bitterness intensity by using chemical indices, such as the total phenol content and the compounds responsible for oil bitterness measured spectrophotometrically at 225 nm (K225 value), as bitterness predictors in different EVOO. Therefore, a bitterness predictive model, based on the relationship between the perceived bitterness intensity of the selected stimuli andthe chosen chemicals parameters has been built and validated. The results indicated that the oil bitternessintensity could be satisfactorily predicted by using the K225 values of oil samples.
Extra virgin olive oil; Bitterness; Predictive model; Sensory evaluation; Total phenol content
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11562/663358
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