Title of article
Extra virgin olive oil bitterness evaluation by sensory and chemical analyses
Author/Authors
Favati، نويسنده , , Fabio and Condelli، نويسنده , , Nicola and Galgano، نويسنده , , Fernanda and Caruso، نويسنده , , Marisa Carmela، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2013
Pages
6
From page
949
To page
954
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 and the chosen chemicals parameters has been built and validated. The results indicated that the oil bitterness intensity could be satisfactorily predicted by using the K225 values of oil samples.
Keywords
bitterness , Extra virgin olive oil , predictive model , sensory evaluation , Total phenol content
Journal title
Food Chemistry
Serial Year
2013
Journal title
Food Chemistry
Record number
1945814
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