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中国精品科技期刊2020
响应面分析法优化枸杞皮渣中色素的超声波辅助提取工艺[J]. 食品工业科技, 2013, (02): 299-302. DOI: 10.13386/j.issn1002-0306.2013.02.031
引用本文: 响应面分析法优化枸杞皮渣中色素的超声波辅助提取工艺[J]. 食品工业科技, 2013, (02): 299-302. DOI: 10.13386/j.issn1002-0306.2013.02.031
Optimization of ultrasonic extraction conditions of pigment from wolfberry residue by response surface methodology[J]. Science and Technology of Food Industry, 2013, (02): 299-302. DOI: 10.13386/j.issn1002-0306.2013.02.031
Citation: Optimization of ultrasonic extraction conditions of pigment from wolfberry residue by response surface methodology[J]. Science and Technology of Food Industry, 2013, (02): 299-302. DOI: 10.13386/j.issn1002-0306.2013.02.031

响应面分析法优化枸杞皮渣中色素的超声波辅助提取工艺

Optimization of ultrasonic extraction conditions of pigment from wolfberry residue by response surface methodology

  • 摘要: 以枸杞皮渣为研究对象,利用超声波提取,用色素提取率为衡量提取工艺的指标。在单因素实验的基础上,选取提取时间、提取温度、料液比(g/mL)、提取剂(乙醇)浓度为自变量,色素得率为响应值,利用Box-Behnken中心组合设计原理和响应面分析法,研究各自变量及其交互作用对得率的影响,模拟得到二次多项式回归方程的预测模型,在超声波功率为150W的条件下,确定最佳提取条件为乙醇浓度97%、提取温度67℃、料液比1∶32,提取时间37min。在此工艺条件下,色素得率为7.632%,与理论预测值7.861%相比,其相对误差约为2.91%。说明通过响应面优化后得出的方程具有一定的实践指导意义。 

     

    Abstract: Wolfberry residue as the research object , ultrasonic extraction as the method , with the pigment extraction rate as a measure indicator . Four extraction parameters including extraction time , extraction temperature , solid-liquid ratio (g/mL ) and extractant (ethanol ) concentration were optimized using central composite design and response surface methodology based on single factor investigations for achieving maximun the pigment extraction rate. The interaction of the respective variables and their influence on the extraction rate were studied by using Box-Benhnken central composite design and response surface analysis theory, the simulated quadratic polynomial regression equation of prediction model was set up. Under the condition of ultrasonic power 150W, the optimum extraction condition for extraction temperature 67℃ , solid-liquid ratio 1∶32 , ethanol concentration 97% , extraction time of 37min. Under these conditions , the average pigment extraction rate was 7.632% , compared to the theoretical value 7.861% , the relative error of 2.91% . Optimized by response regression equation derived some practical significance.

     

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