Modeling and Optimization of Mitragyna speciosa Extraction using Box Behnken Design

A. M. Rusydan, E. Lukitaningsih, N. Fakhrudin
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引用次数: 0

Abstract

The extraction of kratom (M. speciosa) leaf powder was optimized with preliminary extraction to be further optimized with the Box-Behnken experimental design. The individual and interactive effects of process variables (sample-to-solvent ratio, extraction time, solvent concentration) were assessed. The preliminary extraction results showed that ultrasound-assisted extraction (UAE) and methanol were chosen for further optimization. The experimental data were analyzed by Pareto analysis of variance (ANOVA) and second-order polynomial models were developed using multiple regression analysis. The model developed showed a good fit with the experimental data with a high coefficient of correlation (R2) and predictive ability (predicted R2). An optimization study was performed and the optimal extraction conditions were sample-to-solvent ratio value 1.5:10; extraction time of 10 minutes, and methanol concentration of 100%.
基于Box Behnken设计的密天牛提取建模与优化
采用Box-Behnken实验设计对荆芥叶粉的提取工艺进行优化。评估了工艺变量(样品与溶剂比、萃取时间、溶剂浓度)的单独和交互影响。初步提取结果表明,选择超声辅助提取(UAE)和甲醇进行进一步优化。采用Pareto方差分析(ANOVA)对实验数据进行分析,采用多元回归分析建立二阶多项式模型。该模型与实验数据拟合良好,具有较高的相关系数(R2)和预测能力(预测R2)。进行优化研究,最佳提取条件为料液比1.5:10;提取时间为10分钟,甲醇浓度为100%。
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
10
审稿时长
15 weeks
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