2015
DOI: 10.1007/s12161-014-9995-3
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Extraction Optimization of Saffron Nutraceuticals Through Response Surface Methodology

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Cited by 63 publications
(27 citation statements)
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“…The interaction between these factors was studied by using surface plots produced by the selected model 31 .…”
Section: Analysis Of the Response Surfacementioning
confidence: 99%
“…The interaction between these factors was studied by using surface plots produced by the selected model 31 .…”
Section: Analysis Of the Response Surfacementioning
confidence: 99%
“…Under this situation where multiple variables influence the output, response surface methodology (RSM) is a suitable technique for optimizing the process [11]. RSM is a method for designing statistical experiments, modelling the processes, and verifying the statistical significance of independent variables and is used to obtain the optimum operating conditions of the entire process [12] Therefore, the main objective of the present work was to optimize the extraction conditions including solventsample ratio, temperature, and extraction time for maximizing polyphenol concentrate production from S. macrocarpon leaves using response surface methodology. Antioxidant properties of the polyphenol concentrates were also determined to establish potential uses as food preservatives and health-promoting agents.…”
Section: Introductionmentioning
confidence: 99%
“…Statistical analysis revealed that there was a significant difference (p < 0.05) on the mean values only in the case of picrocrocin: 1 h extraction time significantly differed (p < 0.01) from 3 and 5 h extraction time (Figure 2A 24 according to which, through a statistical approach (response surface methodology, RSM), extraction time had the strongest influence on the picrocrocin content and no significant effect on crocins, compared to the type of solvent and type of extraction. Sarfarazi et al, 25 instead, applied RSM to optimize ethanol concentration, extraction time and temperature, showing that extraction maceration time was significant on picrocrocin and crocins response only through interactive effects; however, the same authors admitted the low predictive capability of their model and that their RSM algorithm overestimated all responses.…”
Section: Extraction Timementioning
confidence: 99%