Optimizing the Ultrasound-Assisted Extraction of Total Cardiac Glycosides from the Milk of Calotropis Gigantea with Response Surface Methodology

IF 0.7 4区 工程技术 Q4 ENGINEERING, CHEMICAL Theoretical Foundations of Chemical Engineering Pub Date : 2024-03-10 DOI:10.1134/S0040579523070072
Z. Y. Gao, R. Gong, F. Gao, F. Zha
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Abstract

The ultrasound-assisted extraction was carried out to separate the total cardiac glycoside from the milk of Calotropis gigantea, and the extraction factors was optimized by response surface method using the Box–Behnken design (BBD) on total cardiac glycoside extraction was determined and optimized. A quadratic polynomial parameter mathematical model was established. Under the optimized conditions of ethanol concentration = 40% (vol), liquid-material ratio = 40 : 1, ultrasound power = 420 W and ultrasonic time = 30 min, the total cardiac glycoside yield is 12.75%, which is very close to the predicted value of 12.48%. The model predicts the experimental data well and has a high determination coefficient (R2 = 0.992). The variables that have a greater influence on the extraction yield were selected as ultrasonic power, ultrasonic time, ethanol concentration and liquid-material ratio, respectively.

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用响应面方法优化超声辅助提取石菖蒲乳汁中的总心苷
摘要 采用超声波辅助萃取法从石菖蒲乳汁中分离出总强心苷,并利用响应面法确定和优化了总强心苷萃取的箱-贝肯设计(BBD)的萃取因子。建立了二次多项式参数数学模型。在乙醇浓度 = 40%(体积分数)、液料比 = 40 :1、超声功率 = 420 W、超声时间 = 30 min 的条件下,强心苷的总收率为 12.75%,与预测值 12.48% 非常接近。该模型很好地预测了实验数据,并且具有很高的确定系数(R2 = 0.992)。对提取率影响较大的变量分别为超声功率、超声时间、乙醇浓度和液料比。
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来源期刊
CiteScore
1.20
自引率
25.00%
发文量
70
审稿时长
24 months
期刊介绍: Theoretical Foundations of Chemical Engineering is a comprehensive journal covering all aspects of theoretical and applied research in chemical engineering, including transport phenomena; surface phenomena; processes of mixture separation; theory and methods of chemical reactor design; combined processes and multifunctional reactors; hydromechanic, thermal, diffusion, and chemical processes and apparatus, membrane processes and reactors; biotechnology; dispersed systems; nanotechnologies; process intensification; information modeling and analysis; energy- and resource-saving processes; environmentally clean processes and technologies.
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