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Optimization of ultrasound assisted extraction (UAE) of β- d -glucan polysaccharides from Ganoderma lucidum for prospective scale-up

机译:超声辅助提取灵芝中β-d-葡聚糖多糖的前景放大

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Highlights ? Water-soluble β- d -glucan polysaccharide was extracted with the aid of ultrasound. ? Single and multifactor experiments were employed to optimize the conditions of extraction by RSM. ? A quadratic polynomial model represents the relation of polysaccharides and extraction variables. ? The power intensity has significant non-linear effects that affect further scale-up. ? The optimal conditions could be better applicable after modifying the geometry of the extractor. Three levels of three ultrasonic independent variables were optimized to obtain the maximum yield of water-soluble polysaccharides (PS) extracted from Ganoderma lucidum using response surface methodology (RSM). Box–Behnken design (BBD) was employed to evaluate the effects of ultrasonic variables on the yield of PS. The parameters that were considered for the optimization are ultrasound power (500–700?W), ultrasonic irradiation time (45–65?min) and temperature (70–90?°C). The analysis of variance suggested that the response dependent variable of yield of PS could be expressed by a quadratic polynomial model. The optimal theoretical extraction conditions were found to be an ultrasonic power of 590?W, an irradiation time of 58?min and a temperature of 81?°C. Under these conditions the predicted optimal yield was 52.33?mg. Whereas by following the optimized conditions, the yield of PS by experiments was found to be 52.28?mg which is in a very good agreement with the theoretically predicted one. These outcomes indicate the adequacy of quadratic polynomial model to represent the ultrasonic extraction variables within the ranges of investigation for a volume of 0.25?L; and any prospective scale-up may require modifications in the geometry of the extracting vessel due to the non-linear effects of power ultrasound. Graphical Figure options.
机译:强调 ?借助超声提取水溶性β-d-葡聚糖多糖。 ?采用单因素和多因素实验来优化RSM提取条件。 ?二次多项式模型表示多糖与提取变量的关系。 ?功率强度具有明显的非线性影响,影响进一步放大。 ?修改提取器的几何形状后,最佳条件可能会更好地适用。使用响应表面方法(RSM)对三个级别的三个超声独立变量进行了优化,以获得从灵芝提取的水溶性多糖(PS)的最大产量。 Box–Behnken设计(BBD)用于评估超声变量对PS产量的影响。最优化考虑的参数是超声功率(500–700?W),超声辐照时间(45–65?min)和温度(70–90?C)。方差分析表明,PS产量的响应相关变量可以用二次多项式模型表示。最佳的理论提取条件是超声功率为590?W,照射时间为58?min,温度为81?C。在这些条件下,预测的最佳产量为52.33?mg。通过遵循最优化条件,通过实验发现PS的产量为52.28?mg,与理论上预测的非常吻合。这些结果表明二次多项式模型足以代表研究范围为0.25?L的超声提取变量。由于功率超声的非线性影响,任何可能的放大可能都需要修改提取容器的几何形状。图形选项。

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