乙醇提取生姜姜辣素的工艺优化
Optimization of the ethanol extraction process of the gingerol from ginger
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摘要: 为优化生姜姜辣素提取工艺,提高乙醇提取姜辣素的得率,本文采用Plackett-Burman(PB)和中心复合设计(Central Composite Design,CCD)法对影响姜辣素得率的4个工艺因素进行筛选和优化,确定姜辣素得率的预测模型,并进行验证。结果表明,乙醇浓度、浸提温度和料液比是影响姜辣素得率的3个关键因素,浸提时间影响不显著;经CCD法建立的姜辣素得率预测模型极显著(p<0.0001),决定系数R2为0.96,乙醇浓度和料液比存在较强的交互作用;优化后的工艺条件为:乙醇浓度72%、浸提温度54℃、料液比1∶57 g/m L,姜辣素得率的预测值为0.98%,与实测值0.94%的误差仅为4.10%,说明响应面法对乙醇提取生姜姜辣素的工艺优化是可行的。该结果可为姜辣素的后续开发利用提供一定的参考依据。Abstract: This study aimed to optimize the gingerol extraction process of ginger for improving the gingerol yield by the ethanol.Four technological factors which affected the gingerol yield were sifted and optimized by Plackett-Burman ( PB) and Central Composite Design ( CCD) . Based on those, the prediction model of gingerol yield was determined and validated. The results showed that the three key factors which influenced the yield of gingerol were the solid-liquid ratio, extraction temperature and ethanol concentration. The impregnation time had little influence on the gingerol yield. The prediction model which were established by the CCD had a highly significant correlation ( p < 0.0001) and the determination coefficient ( R2) was 0.96.There had a strong interaction between the solid-liquid ratio and ethanol concentration.The optimal technological condition was that the solid-liquid ratio, extraction temperature and ethanol concentration were 1 ∶ 57 g/m L, 54 ℃, and 72%, respectively. The prediction value of gingerol yield was 0.98%, compared with the measured value 0.94%, the deviation was only 4.10%. It indicates that optimizing the ethanol extraction technology of the gingerol by response surface analysis is reliable.This result can provide an important reference for the further exploitation of the gingerol.