Optimization of extraction process of total flavonoids from ophiopogonis radix by central composite design-response surface methodology
You‐Ping Liu
Abstract
You‐Ping Liu
Abstract
Objective:To optimize the extraction process of total flavonoids from ophiopogonis radix by central composite design-response surface method.Method:Ethanol concentration,solvent ratio and extraction time were independent variables.Extraction rate of total flavonoids in ophiopogonis radix was dependent variable.No-linear mathematic models were used to estimate the relationship between the independent and the dependent variables.Response surface methodology was used to optimize extraction process.Predictions were carried out by comparing the observed and predicted values.Result:Optimal conditions of extraction process were as following:refluxed one time at 80℃ with 36 ratio of 85% ethanol for 3 hours.The bias between the observed and the predicted values of extraction quantity was 3.76%.Regression coefficient of binomial fitting complex model was as high as 0.9610.Conclusion:The optimum model is simple,precise and highly predictive.
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Objective:To optimize the extraction process of total flavonoids from ophiopogonis radix by central composite design-response surface method.Method:Ethanol concentration,solvent ratio and extraction time were independent variables.Extraction rate of total flavonoids in ophiopogonis radix was dependent variable.No-linear mathematic models were used to estimate the relationship between the independent and the dependent variables.Response surface methodology was used to optimize extraction process.Predictions were carried out by comparing the observed and predicted values.Result:Optimal conditions of extraction process were as following:refluxed one time at 80℃ with 36 ratio of 85% ethanol for 3 hours.The bias between the observed and the predicted values of extraction quantity was 3.76%.Regression coefficient of binomial fitting complex model was as high as 0.9610.Conclusion:The optimum model is simple,precise and highly predictive.
Key concepts: Response surface methodology, Extraction (chemistry), Central composite design, Linear regression, Chromatography, Mathematics, Radix (gastropod), Process (computing)