Pregled bibliografske jedinice broj: 901159
Optimization of supercritical CO2 extraction of Salvia officinalis L. leaves targeted on oxygenated monoterpenes, α- humulene, viridiflorol and manool
Optimization of supercritical CO2 extraction of Salvia officinalis L. leaves targeted on oxygenated monoterpenes, α- humulene, viridiflorol and manool // Journal of supercritical fluids, 133 (2018), 1; 253-262 doi:10.1016/j.supflu.2017.10.022 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 901159 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Optimization of supercritical CO2 extraction of Salvia officinalis L. leaves targeted on oxygenated monoterpenes, α- humulene, viridiflorol and manool
Autori
Jokić, Stela ; Molnar, Maja ; Jakovljević, Martina ; Aladić, Krunoslav ; Jerković, Igor
Izvornik
Journal of supercritical fluids (0896-8446) 133
(2018), 1;
253-262
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
salvia officinalis L. ; supercritical CO2 extraction ; GC-MS ; response surface methodology ; manool
Sažetak
Comprehensive approach was applied to optimize the SC-CO2 extraction conditions of Salvia officinalis L. (sage) leaves. Different extraction parameters (pressure, temperature, and CO2 flow rate) were investigated on: the extraction yield ; the extracts chemical profile (determined by GC-MS) ; optimal extraction conditions by response surface methodology (RSM) for targeted most abundant components (oxygenated monoterpenes, α- humulene, viridiflorol and manool). The pressure exhibited the most significant influence on the yield (0.242-7.361%) and significantly influenced the amount of 1, 8- cineole, α-/β- thujone and camphor (within the range 15 or 20 MPa). On the contrast, the highest amount of α- humulene, viridiflorol and manool was obtained at the lowest pressure (10 MPa). The results showed statistically significant (p < 0.05) values for the regression models for all responses and non- significant lack of fit (p = 0.068- 0.339), highlighting that the second order polynomial model can be effectively used for prediction of targeted compounds of sage SC-CO2 extracts.
Izvorni jezik
Engleski
Znanstvena područja
Kemija, Biotehnologija
POVEZANOST RADA
Projekti:
HRZZ-IP-2013-11-8547 - Istraživaje prirodnih spojeva i aroma: kemijsko profiliranje i otkrivanje potecijala (NaPro-Flav) (Jerković, Igor, HRZZ - 2013-11) ( CroRIS)
Ustanove:
Kemijsko-tehnološki fakultet, Split,
Hrvatski veterinarski institut, Zagreb,
Prehrambeno-tehnološki fakultet, Osijek
Profili:
Krunoslav Aladić
(autor)
Martina Jakovljević Kovač
(autor)
Stela Jokić
(autor)
Igor Jerković
(autor)
Maja Molnar
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus