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Poređenje, modelovanje veštačkom neuronskom mrežom i optimizacija genetičkim algoritmom prinosa rezinoida i kalijuma iz ivanjskog cveća (Galium mollugo L.) dobijenih konvencionalnom, refluks i ultrazvučnom vodeno-etanolnom ekstrakcijom
aHigh Chemical and Technological School for Professional Studies, Kruševac
bUniverzitet u Nišu, Medicinski fakultet, Katedra Farmacija
cPharmacy 'Sveti Nikola', Leskovac
dInstitut 'Kirilo Savić', Beograd

e-adresakatar1970@yahoo.com
Sažetak
U radu je pri kazan prinos rezinoida i kalijuma dobijenim iz nadzemnih delova belog ivanjskog cveća (Galium mollugo L.) konvencionalnom (maceracijom), refluks i ultra-zvučnom vodeno-etanolnom ekstrakcijom. Glavni cilj je bio da se definiše uticaj ekstrakcionih tehnika i koncentracije etanola na prinos rezinoida i kalijuma. Prinos rezinoida, odnosno kalijuma određen je isparavanjem rastvarača iz tečnih ekstrakata, odnosno metodom atomske apsorpcione spektrometrije. Zavisnost prinosa rezinoida i kalijuma, kao i selektivnosti kalijuma od koncentracije etanola matematički je opisano linearnim, kvadratnim polinomnim modelom. Najveća selektivnost kalijuma postiže se maceracijom i iznosi 0,077g K/g suvog ekstrakta. Veštačka neuronska mreža (VNM) je uspešno primenjena za predviđanje prinosa rezinoida i kalijuma na osnovu koncentracije etanola pri ekstrakciji rastvaračem i vremenskog trajanja za sve tri primenjene tehnike ekstrakcije. Metodom odziva površine predstavljena je zavisnost rezultata VNM od operativnih uslova. Proces ekstrakcije je optimizovan primenom genetičkog algoritma (GA) na rezultate VNM. Određeno je da optimaIna koncentracija etanola iznosi 10 g/100 g, pri kojoj se postiže maksimalni prinos rezinoida od 30.4 g/100 g i kalijuma od 1.67g/100 g ultra-zvučnom ekstrakcijom od 80 min. Relativno procentno odstupanje optimalnih prinosa od eksperimentalno dobijenih prinosa za isto vreme iznosi±9.3%,odnosno ±0.3%.
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O članku

jezik rada: engleski
vrsta rada: naučni članak
DOI: 10.2298/CICEQ120316049M
objavljen u SCIndeksu: 02.09.2013.