Extraction yield and
product quality of olive oil depend on various factors, particularly fruit’s
maturity and processing methods. In this present study, kneading process was optimized
by response surface methodology in terms of oil yield and quality parameters. As
a sample, olive fruits were used at two different maturity stages (purple versus
black stages). Prediction of response was proposed with a full quadratic second
order regression equation, and regression parameters were checked for each
model in order to evaluate model’s adequacy. Proposed models for yield and some
quality parameters of olive oil were good enough for a successful prediction of
experimental results. Oil yield was maximized as free acidity and peroxide
value were controlled under the specified corresponding values for “extra
virgin olive oil”. Optimal kneading conditions for oil production were at 30°C
for 45 min for purple fruits and 28°C for 55 min for black counterparts.
Subjects | Food Engineering |
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Journal Section | Research Papers |
Authors | |
Publication Date | December 24, 2017 |
Submission Date | November 18, 2016 |
Published in Issue | Year 2017 Volume: 15 Issue: 4 |
Bu eser Creative Commons Atıf-GayriTicari 4.0 (CC BY-NC 4.0) Uluslararası Lisansı ile lisanslanmıştır.
Akademik Gıda (Academic Food Journal) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).