Optimization of Microwave Extraction Process for Tea Polyphenol by Response Surface Methodology
Zhu Yua
Abstract
Zhu Yua
Abstract
The tea-polyphenol was extracted by microwave from tea in this study. On the basis of single factor experiment, the extraction conditions were optimized through the response surface method and a multivariete quadratic regression was modeled. The results showed that all of the conditions such as ethanol content, liquid radio were not simple linear relationship. The yield of tea-polyphenols was 16.169%, and the relative error was-0.036% under the optimum conditions such as 80 mesh for particle size, 300 W for microwave power, ethanol content 81.27%, material to liquid ratio 1∶35.47, and extracting 3 minutes under 70 ℃. The model was proved reliable in prediction.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The tea-polyphenol was extracted by microwave from tea in this study. On the basis of single factor experiment, the extraction conditions were optimized through the response surface method and a multivariete quadratic regression was modeled. The results showed that all of the conditions such as ethanol content, liquid radio were not simple linear relationship. The yield of tea-polyphenols was 16.169%, and the relative error was-0.036% under the optimum conditions such as 80 mesh for particle size, 300 W for microwave power, ethanol content 81.27%, material to liquid ratio 1∶35.47, and extracting 3 minutes under 70 ℃. The model was proved reliable in prediction.
Key concepts: Polyphenol, Response surface methodology, Extraction (chemistry), Microwave, Yield (engineering), Microwave power, Particle size, Materials science