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Multivariate statistical analysis and optimization of ultrasound-assisted extraction of natural pigments from waste red beet stalks

机译:超声辅助提取甜菜秸秆中天然色素的多元统计分析与优化

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摘要

In this study, ultrasound-assisted extraction (UAE) of natural pigment extraction from waste red beet stalks were optimized under four factors (extraction temperature, ultrasonic power, extraction time and solid–liquid ratio) by using three level Box-Behnken response surface design. Extraction temperature, ultrasonic power and solid–liquid ratio were significantly influenced the extraction yield of pigments. Extraction temperature of 53 °C, ultrasonic power of 89 w, extraction time of 35 min and SL ratio of 1:19 g/ml was identified as the optimal condition. Under this condition, the actual yield of (betacyanin of 1.28 ± 0.02 and betaxanthin of 5.31 ± 0.09 mg/g) pigments was well correlated with predicted values (betacyanin was 1.29 mg/g and betaxanthin was 5.32 mg/g).
机译:在这项研究中,通过使用三级Box-Behnken响应面设计,在四个因素(提取温度,超声功率,提取时间和固液比)下,优化了从红甜菜茎中提取天然色素的超声辅助提取(UAE)。 。提取温度,超声功率和固液比显着影响颜料的提取得率。最佳提取条件为提取温度为53°C,超声功率为89w,提取时间为35min和SL比为1:19 g / ml。在这种条件下,色素的实际产量(甜菜碱为1.28±0.02和虾青素为5.31±0.09 mg / g)与预测值具有良好的相关性(甜菜碱为1.29mg / g和虾青素为5.32mg / g)。

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