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Optimisation of extra virgin olive oil quality
Author(s) -
Monteleone Erminio,
Caporale Gabriella,
Carlucci Angela,
Pagliarini Ella
Publication year - 1998
Publication title -
journal of the science of food and agriculture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 142
eISSN - 1097-0010
pISSN - 0022-5142
DOI - 10.1002/(sici)1097-0010(199805)77:1<31::aid-jsfa998>3.0.co;2-f
Subject(s) - ripening , polyphenol , factorial experiment , olive oil , extraction (chemistry) , raw material , food science , mathematics , fractional factorial design , cultivar , pulp and paper industry , chemistry , statistics , horticulture , chromatography , engineering , biology , biochemistry , organic chemistry , antioxidant
This study investigated the correlation between total polyphenol content and the stability (ie induction time by Rancimat) of oil samples according to different regions, cultivars, extraction technologies and ripening times of raw material. Results indicate a correlation of oil stability with total polyphenols, ( r =0·88), a chemical variable easy to determine. We have set up an oil quality index as a measure of desirability including legal parameters, especially the Council Olive Oil International score (COI Score), stability (phenol content) and process yield into account. The study of the effects of olive ripening and storage prior to processing and olive paste mixing times and temperatures on the quality index using an experimental factorial design (2 4 ) were investigated. The process variables selected in the experimental factorial design were studied and the main effects on desirability were identified. Based on this information, the extraction process was optimised for quality index in relation to fruit ripening and olive paste mixing time using a response contour to identify optimal experimental conditions. This innovative procedure shows that process conditions can be optimised as a function of D tot , evaluated according to scientific determinations. © 1998 SCI.