Pregled bibliografske jedinice broj: 686287
Optimization of ultrasound process parameters for extraction of oleuropein from olive pomace
Optimization of ultrasound process parameters for extraction of oleuropein from olive pomace // EUBIS COST Action, Food Waste Valorisation
Toulouse, Francuska, 2014. (poster, nije recenziran, neobjavljeni rad, znanstveni)
CROSBI ID: 686287 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Optimization of ultrasound process parameters for extraction of oleuropein from olive pomace
Autori
Bosiljkov, Tomislav ; Brnčić, Mladen ; Ježek, Damir ; Karlović, Sven ; Tripalo, Branko ; Dujmić, Filip
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, neobjavljeni rad, znanstveni
Skup
EUBIS COST Action, Food Waste Valorisation
Mjesto i datum
Toulouse, Francuska, 21.01.2014. - 22.01.2014
Vrsta sudjelovanja
Poster
Vrsta recenzije
Nije recenziran
Ključne riječi
ultrasound; extraction; oleuropein
Sažetak
Main research goal is extraction of bioactive compounds from waste byproducts (leafs and pomace) of olive oil production. Oleuropein and other high value bioactive compounds can be extracted from olive pomace using traditional extraction methods. This process require fairly high amount of solvent, long extraction times, high temperatures, all of which can have negative influence on quality of extract. There are also significant costs related to extraction. To considerably enhance traditional extraction process, novel methods such as high intensity ultrasonics can be used. This additional step in extraction process requires optimization of large number of process parameters such as ultrasonic power (up to 1000 W), amplitude (0-100 %), cycle (0-1), probe diameter (4 – 22 mm), process time (3 - 10 min), as well as volume and type of solvent (ethanol, distilled water). Artificial neural network is used as optimization method, as it can be easily (re)trained, validated and used for optimization of each individual process parameter. Chemical (active compounds, etc.) and physical analysis are performed on obtained extracts. Optimization using artificial neural network is performed based on maximizing of extract volume and minimizing used volume of solvent, and optimal process parameters were obtained for both types of solvent.
Izvorni jezik
Engleski
POVEZANOST RADA
Profili:
Tomislav Bosiljkov
(autor)
Sven Karlović
(autor)
Mladen Brnčić
(autor)
Filip Dujmić
(autor)
Damir Ježek
(autor)
Branko Tripalo
(autor)