2013
DOI: 10.1002/jsfa.6224
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Optimization of subcritical fluid extraction of carotenoids and chlorophyll a from Laminaria japonica Aresch by response surface methodology

Abstract: It has been proved that subcritical R134a is a potential solvent, which can be an alternative to supercritical CO2 for extraction of natural ingredients under mild conditions.

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Cited by 62 publications
(32 citation statements)
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“…So far, the studies on chlorophyll extraction from Spirulina have focused mainly on extracting the chlorophylls through the supercritical extraction process with different combinations of various parameters such as solvent ratio, temperature, pressure, etc. There were also several reports on obtaining fair amounts of chlorophylls from plant resources by optimizing those variables [14,15]. However, most of the optimal conditions were at relatively high temperatures of 60-80 • C, which would cause a severe reduction in efficacy due to low contents of intact chlorophylls in the extracts.…”
Section: Introductionmentioning
confidence: 99%
“…So far, the studies on chlorophyll extraction from Spirulina have focused mainly on extracting the chlorophylls through the supercritical extraction process with different combinations of various parameters such as solvent ratio, temperature, pressure, etc. There were also several reports on obtaining fair amounts of chlorophylls from plant resources by optimizing those variables [14,15]. However, most of the optimal conditions were at relatively high temperatures of 60-80 • C, which would cause a severe reduction in efficacy due to low contents of intact chlorophylls in the extracts.…”
Section: Introductionmentioning
confidence: 99%
“…Supercritical CO 2 extraction has advantages such as non‐toxicity, zero residual organic solvent and more selective extraction. However, a high pressure and a long extraction time are required …”
Section: Introductionmentioning
confidence: 99%
“…Levels of the key parameters, including initial octenylsuccinate concentration, pH, adsorption time, sepiolite dosage, and interactions between variables, were analyzed and optimized by Box-Behnken RSM with four factors and three levels, including three central points. The high, middle, and low levels of each variable were coded as +1, 0, and −1, respectively [22][23][24]. Experimental design was shown in Table 1.…”
Section: Experimental Design For Response Methodologymentioning
confidence: 99%