2011
DOI: 10.1016/j.ijbiomac.2011.05.029
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The extraction process optimization and physicochemical properties of polysaccharides from the roots of Euphorbia fischeriana

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Cited by 12 publications
(9 citation statements)
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“…The variance of the quadratic regression model showed that the determination coefficient (R 2 ) was 0.9309, indicating that the calculated model was able to explain 93.09% of the result in the case of AOP yield. 25 The optimum extraction conditions of AOP were as follows: liquid-solid ratio of 15.39 : 1; extraction time of 4.28 h and extraction temperature of 59.96 C. The prediction yield of AOP was estimated to be up to 5.84%. The extraction experiment was repeated three times under the optimal extraction condition (4.3 h, 60 C, and liquid-solid ratio of 15.4 : 1) to verify the reliability of the results, and the extractive rate of AOP was 5.56% (Table 5), which was very close to the predicted value.…”
Section: Bbd and Rsm Optimizationmentioning
confidence: 99%
“…The variance of the quadratic regression model showed that the determination coefficient (R 2 ) was 0.9309, indicating that the calculated model was able to explain 93.09% of the result in the case of AOP yield. 25 The optimum extraction conditions of AOP were as follows: liquid-solid ratio of 15.39 : 1; extraction time of 4.28 h and extraction temperature of 59.96 C. The prediction yield of AOP was estimated to be up to 5.84%. The extraction experiment was repeated three times under the optimal extraction condition (4.3 h, 60 C, and liquid-solid ratio of 15.4 : 1) to verify the reliability of the results, and the extractive rate of AOP was 5.56% (Table 5), which was very close to the predicted value.…”
Section: Bbd and Rsm Optimizationmentioning
confidence: 99%
“…The most important profit of RSM is reduction in the number of experimental trials. For this methodology, there are two methods are available called Central Composite Design (CCD) and Box-Behnken Design (BBD) (Liu et al 2011;Yu and Chao 2013). In this study, two different methods of RSM were used to optimize and study the effect of independent variables such as extraction time (A), extraction temperature (B) and sonication amplitude (C) for extraction of polysaccharides.…”
Section: Response Surface Design Evaluationmentioning
confidence: 99%
“…When the ratio of water to sample was increased from 10:1 to 25:1, the extraction yield correspondingly increased from 10.1% to 15.5% and reached the maximum as a result of the increasing in the driving force of the increasing solvent molecules. [3233] The yield of PGF indicated a descending tendency subsequently. Thus, the ratio of the water to the sample (25:1) was considered to be optimal in this experiment.…”
Section: Resultsmentioning
confidence: 99%