Naslov
Supercritical CO2 extraction of Salvia officinalis L. leaves targeted on oxygenated monoterpenes, α-humulene, viridiflorol, and manool

Autori
Jerković, Igor ; Molnar, Maja ; Jakovljević, Martina ; Aladić, Krunoslav ; Jokić, Stela

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of abstract of 10th International Scientific and Professional Conference „With food to health“ / Šubarić, Drago ; Jašić, Midhat - Osijek, 2017, 130-130

ISBN
978-953-7005-49-8

Skup
10th International Scientific and Professional Conference „With food to health“

Mjesto i datum
Osijek, Hrvatska, 12.10.2017. - 13.10.2017

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Salvia officinalis L., supercritical CO2 extraction, GC-MS, response surface methodology

Sažetak
A comprehensive approach was applied to optimize the supercritical CO2 (SC-CO2) extraction conditions of Salvia officinalis L. (sage) leaves. Different extraction parameters (pressure 10-30 MPa, temperature 40-60 °C, and CO2 flow rate 1-3 kg/h) were investigated: The extraction yield, the extracts' chemical profile (determined by GC-MS), and the optimal extraction conditions by response surface methodology (RSM) for the targeted most abundant components. Within the range of the applied extraction parameters, the major compounds of all SC-CO2 extracts were oxygenated monoterpenes, namely, 1, 8-cineole (6.56-27.26 mg CE/g), α-/β-thujone (11.56-44.82 mg CE/g), and camphor (38.23- 104.71 mg CE/g), followed by α-humulene (39.90- 90.73 mg/g), viridiflorol (48.07-97.01 mg CE/g), and manool (113.90-335.36 mg CE/g). The pressure exhibited the most significant influence on the yield (0.242-7.361 mass %) and significantly influenced the amount of 1, 8- cineole, α-/β-thujone, and camphor (within the range 15 or 20 MPa). In contrast, the highest amount of α-humulene, viridiflorol, and manool was obtained at the lowest pressure (10 MPa). The results showed that that the second order polynomial model can be effectively used for the optimization and prediction of targeted compounds.

Izvorni jezik
Engleski

Znanstvena područja
Prehrambena tehnologija

POVEZANOST RADA