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响应面法优化超临界CO_2提取无花果多糖工艺 被引量:15

Optimization of Supercritical Carbon Dioxide Extraction of the Polysaccharide from Fig Fruit (Ficus Carica L.) Using Response Surface Methodology
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摘要 以无花果为试验原料,采用响应面分析法(Response Surface Methodology,RSM)建立超临界C02提取无花果多糖(FPS)得率的二次多项数学模型,验证数学模型的有效性,并探讨萃取温度(70-90℃)、压力(30-40MPa)时间(80~100min)三因素对FiX5得率的影响。根据该模型优化工艺参数。以FPS得率为指标,试验所得超临界CO2萃取最佳工艺条件:温度78.5℃,压力33.4MPa,时间96.2min。在该条件下做3次重复试验,FPS的实际平均得率高达17.31%。与预测值17.36%无显著差异。 Response surface methodology (RSM) was employed to optimize the process parameters of supercritical carbon dioxide(SC-CO2) extraction of the fig polysaccharide(FPS). The adequacy of the model equation for predicting the optimum response values was verified effectively by the validation. Effects of temperature (70-90 ℃), pressure (30-40 MPa)and time (80-100 min) on yield of FPS were investigated. The optimum parameters within the experimental ranges were determined to be at 78.5℃, 33.4 MPa and with 96.2 min. Under these conditions, the average value of the actual yield of the FPS in three replicated experiments is 17.31%, and this value is not significantly different from the value of 17.36% predicted by the model.
出处 《中国食品学报》 EI CAS CSCD 北大核心 2013年第7期46-52,共7页 Journal of Chinese Institute Of Food Science and Technology
基金 国家十一五科技支撑计划(2006BAD30B01)
关键词 无花果 多糖 超临界CO2 响应面法 工艺条件 fig fruit polysaccharide supercritical carbon dioxide response surface methodology technological conditions
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参考文献16

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