CHAI Si-jia, QI Hai-yan, DENG Chong. Optimization of Extraction Process for Anti-diabetic Active Parts from Rosae Laevigatae Fructus by Box-Behnken Response Surface Methodology[J]. Chinese journal of experimental traditional medical formulae, 2014, 20(16): 26-29.
CHAI Si-jia, QI Hai-yan, DENG Chong. Optimization of Extraction Process for Anti-diabetic Active Parts from Rosae Laevigatae Fructus by Box-Behnken Response Surface Methodology[J]. Chinese journal of experimental traditional medical formulae, 2014, 20(16): 26-29. DOI: 10.13422/j.cnki.syfjx.2014160026.
Objective: To optimize extraction process of anti-diabetic active parts from Rosae Laevigatae Fructus. Method: With composite score of in vitro anti-α-amylase and anti-oxidation activities as dependent variable
ethanol concentration
solid-liquid ratio
extraction time and times as independent variables
test data were analyzed by Design Expert 8.05 software
then multivariate quadratic regression equation was established
Box-Behnken response surface methodology was adopted to optimize extraction process of anti-diabetic active parts from Rosae Laevigatae Fructus. Result: Optimal process parameters were as follows:extracted twice with 11 times the amount of 85% ethanol for 120 min per time;average inhibition rate of α-amylase was 95.39% with RSD of 4.59%
average clearance rate of DPPH was 91.47% with RSD of 4.12%
composite score was 0.967 2
which was fit with its predictive value of 0.977 8. Conclusion: Optimization of extraction process was scientific and conformed with clinical practical application by biological activity evaluation.