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Optimization of pulsed-mode ultrasound assisted extraction of bioactive compounds from pomegranate peel using response surface methodology
Journal of Food Measurement and Characterization ( IF 3.4 ) Pub Date : 2020-08-09 , DOI: 10.1007/s11694-020-00597-9
Ankit Kumar , Pavuluri Srinivasa Rao

In this study, a pulsed mode ultrasound assisted extraction was performed for the extraction of bioactive compounds from Pomegranate (Punica granatum L.) peel. Box-Behnken experimental design combined with response surface methodology, was applied for the optimization of process conditions. The independent variables investigated were ultrasound amplitude (50–80%), sonication time (5–15 min), duty cycle (0.2–0.8), and methanol concentration (30–70%) to maximize the yield of total phenolic content, flavonoid content, total condensed and hydrolysable tannin (TCT and THT respectively), and antioxidant activity (DPPH and FRAP). The experimental results were fitted to quadratic models, and statistical analysis in terms of multiple regression, and analysis of variation was carried out for each response variable. The optimum predicted values of the response variables were obtained at 70% methanol concentration, 12.8 min of sonication treatment at a duty cycle of 0.58, and 80% ultrasound amplitude. A comparative analysis at optimized condition showed better recovery of bioactive compounds in pulsed mode, compared to continuous mode of sonication. Correlation analysis of the response variables was done to find the associations among the variables. Multivariate analysis using principal component analysis, and hierarchical cluster analysis was done for better understanding of interactions among experimental treatments and responses.



中文翻译:

使用响应面法优化脉冲模式超声辅助从石榴皮中提取生物活性化合物

在这项研究中,进行了脉冲模式超声辅助提取,以从石榴(石榴)中提取生物活性化合物。。) 剥。Box-Behnken实验设计与响应面方法相结合,用于优化工艺条件。研究的独立变量是超声振幅(50–80%),超声处理时间(5–15分钟),占空比(0.2–0.8)和甲醇浓度(30–70%),以最大程度地提高总酚含量,类黄酮的产量含量,总缩合和可水解单宁(分别为TCT和THT)和抗氧化活性(DPPH和FRAP)。将实验结果拟合到二次模型,并根据多元回归进行统计分析,并对每个响应变量进行变异分析。在甲醇浓度为70%,超声处理时间为0.58的超声处理时间为12.8分钟和超声振幅为80%的情况下,获得了响应变量的最佳预测值。在优化条件下进行的比较分析显示,与连续超声处理相比,脉冲模式下生物活性化合物的回收率更高。对响应变量进行相关分析,以找到变量之间的关联。使用主成分分析和层次聚类分析进行了多变量分析,以更好地理解实验方法和响应之间的相互作用。

更新日期:2020-08-10
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