logo
ResearchBunny Logo
A method for gaining a deeper insight into the aroma profile of olive oil

Food Science and Technology

A method for gaining a deeper insight into the aroma profile of olive oil

D. Suzuki, Y. Sato, et al.

Discover how Daisuke Suzuki, Yuko Sato, Akane Mori, and Hirotoshi Tamura are revolutionizing the extraction of aroma compounds from extra virgin olive oil using a novel combined method. Their study unveils a sophisticated approach that enhances the quality and consumer preferences for this beloved oil.

00:00
00:00
~3 min • Beginner • English
Abstract
Volatile compounds in food play a crucial role in affecting food quality and consumer preference, but the volatile compounds in olive oil are not fully understood due to the matrix effect of oil. The oiling-out assisted liquid-liquid extraction (OA-LLE), which we previously reported, is an effective method for isolating volatile compounds from edible oils with a strong matrix effect. However, when we apply OA-LLE to extra virgin olive oil (EVOO), the aromatic extracts contain non-volatile compounds such as pigments because of solvent-based extraction. Solvent-assisted flavor evaporation (SAFE) can remove such non-volatiles from extracts, but SAFE is affected by a matrix effect during distillation, resulting in a decrease in performance. By combining the advantages of OA-LLE and SAFE, we propose an effective approach, OA-LLE followed by SAFE (OA-LLE + SAFE), for extracting aroma compounds from EVOO. The "two assists" should help to better understand the native aroma profile of EVOO.
Publisher
npj Science of Food
Published On
Jul 01, 2021
Authors
Daisuke Suzuki, Yuko Sato, Akane Mori, Hirotoshi Tamura
Tags
olive oil
volatile compounds
extraction methods
aroma profile
extra virgin olive oil
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny