2015
DOI: 10.1007/s12161-015-0135-5
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Application of Response Surface Methodology for the Optimization of Ultrasound-Assisted Extraction of Pomegranate (Punica granatum L.) Seed Oil

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Cited by 24 publications
(20 citation statements)
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“…[25][26][27][28][29][30][31][32][33][34][35][36][37][38] These conventional methods are based on the use of an ethanolic KOH solution under controlled conditions of time and temperature. The KOH concentrations ranged from 0.5 to 2 mol L -1 , while the incubation times ranged from 50 min to 18 h and the temperatures ranged from room temperature to 80 °C.…”
Section: Ultrasound-assisted Saponification (Uas)mentioning
confidence: 99%
See 3 more Smart Citations
“…[25][26][27][28][29][30][31][32][33][34][35][36][37][38] These conventional methods are based on the use of an ethanolic KOH solution under controlled conditions of time and temperature. The KOH concentrations ranged from 0.5 to 2 mol L -1 , while the incubation times ranged from 50 min to 18 h and the temperatures ranged from room temperature to 80 °C.…”
Section: Ultrasound-assisted Saponification (Uas)mentioning
confidence: 99%
“…Furthermore, as stated in the literature, temperature is strongly associated with solvents properties, and an increase of temperature results in a decrease of both viscosity and surface tension, and induces an improvement in the mass transfer mechanism. 30,40 Thus, the selected conditions for the UAS were an ethanolic KOH solution concentration of 1 mol L -1 and an extraction time and temperature of 15 min and 70 °C, respectively.…”
Section: Ultrasound-assisted Saponification (Uas)mentioning
confidence: 99%
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“…Therefore, MAE has been widely applied to the extraction of various ingredients from different matrices (Liu et al 2012;Hadi et al 2015;Ramezani et al 2015). Over recent years, response surface methodology (RSM) has been extensively used to develop, improve, and optimize extractions of the chemical substances (Liu et al 2013;Habibi et al 2013;Lee et al 2014;Sarfarazi et al 2015;Barizao et al 2015). The prime advantage of RSM is the ability to use statistical modeling and analysis to simulate the extraction process, determine significant variables, and estimate optimal extraction conditions, to give the maximal yield of target responses.…”
Section: Introductionmentioning
confidence: 99%