Optimization of Ultrasonic-assisted Extraction of Saponins in Radix Pseudostellariae by Response Surface Methodology
Feng Wu-qu
Abstract
Feng Wu-qu
Abstract
The purpose of the research was to investigate the optimum conditions for extraction of saponins in Radix Pseudostellariae by ultrasound-assisted extraction(UAE).Response surface methodology(RSM) based on Box-Behnken design(BBD) were employed in the experiment to analyze the main extraction parameters included UAE time,UAE power and ratio of liquid to solid.The content of saponins was determined by ultraviolet spectrophotometer.The experiment shows that the optimum parameters for extraction of saponins in Rdix Pseudostellariae based on RSM were as follows:Ratio of liquid to solid was 16:1 mL/g; Supersonic power was 280 w; Extracting time was 38 min by UAE.The experimental process to extract of saponins in Radix Pseudostellariae based on UAE optimized by RSM has some advantages,such as higher efficiency,simpler extracting process,lower exhausting energy,etc.
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The purpose of the research was to investigate the optimum conditions for extraction of saponins in Radix Pseudostellariae by ultrasound-assisted extraction(UAE).Response surface methodology(RSM) based on Box-Behnken design(BBD) were employed in the experiment to analyze the main extraction parameters included UAE time,UAE power and ratio of liquid to solid.The content of saponins was determined by ultraviolet spectrophotometer.The experiment shows that the optimum parameters for extraction of saponins in Rdix Pseudostellariae based on RSM were as follows:Ratio of liquid to solid was 16:1 mL/g; Supersonic power was 280 w; Extracting time was 38 min by UAE.The experimental process to extract of saponins in Radix Pseudostellariae based on UAE optimized by RSM has some advantages,such as higher efficiency,simpler extracting process,lower exhausting energy,etc.
Key concepts: Response surface methodology, Radix (gastropod), Extraction (chemistry), Box–Behnken design, Chromatography, Process (computing), Materials science, Process engineering