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响应面优化苹果皮渣多酚超声提取工艺研究 被引量:73

Optimization of Ultrasound-Assisted Extraction Technology of Polyphenols from Apple Pomace by Response Surface Methodology
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摘要 【目的】研究超声波辅助乙醇提取苹果皮渣多酚的最佳工艺条件。【方法】以工厂榨汁后的苹果皮渣为原料,在单因素试验的基础上,选取提取时间、超声功率、提取温度、料液比为自变量,多酚的提取率为响应值,根据响应面Box-Benhnken试验设计原理,采用四因子三水平的分析法模拟得到二次多项式回归方程的预测模型,优化苹果皮渣多酚超声提取工艺。【结果】回归模型具有高度显著性,方程对试验拟合较好,可以对苹果皮渣多酚得率进行很好的分析和预测;各因子对提取率的影响大小依次是提取温度>料液比>提取功率>提取时间;响应面分析图表明提取时间和超声功率交互作用不显著,提取温度和超声功率交互作用极显著,料液比的主效应大于温度;超声波辅助乙醇提取苹果皮渣的最佳工艺条件为超声时间10 min,提取温度65℃,超声功率503 W,料液比1﹕30。【结论】多酚的提取率达4.53 mg·g-1,与预测值4.55 mg·g-1基本一致。 [Objective] The objective of this study is to optimize ultrasound-assisted ethanol extraction of polyphenols from apple pomace. [Method] Residues from juice extraction of apple were used in this paper. On the basis of single-factor test, the response surface methodology was used to investigate the effects of processing parameters, including extraction time, temperature, ultrasound power and solvent/material ratio. The extraction rate of polyphenols was chosen as response value, mathematical model was established by implementing four factors and three levels. [Result] The model was of great difference, and the established regression equation for polyphenols yield had an excellent goodness of fit. Therefore the polyphenols from apple pomance could be analyzed and predicted by the model. Factors influencing the extraction of polyphenols from the apple pomace were in the order as follows: extraction temperature 〉 solvent/material ratio 〉 ultrasound power〉 extraction time. The response surface plots showed that the interaction between extraction time and ultrasound power was not significant, while the interaction between extraction temperature and ultrasound power was outstanding, and the main effect of solvent/material ratio was greater than the temperature. The optimum technological conditions were extraction time of 10 min, extraction temperature of 65 ℃, ultrasonic power of 503 W, solvent/material ratio of 1 : 30(g-mL-1). [Conclusion] The extraction ratio of apple polyphenols was up to 4.53 mg-gl, which is highly consistent with the predictive value of 4.55 mg-g^-1.
出处 《中国农业科学》 CAS CSCD 北大核心 2013年第21期4569-4577,共9页 Scientia Agricultura Sinica
基金 农业部公益性行业科研专项(201303076) 中国农业科学院基本科研业务费预算增量项目(2013ZL015) 国家"863"计划子课题(NC2010KA0006)
关键词 苹果皮渣 多酚 超声波 响应面 apple pomace polyphenols ultrasound assisted response surface methodology
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参考文献24

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