[Optimal extraction of effective constituents from Aralia elata by central composite design and response surface methodology].
OBJECTIVE
To optimize the process of extracting effective constituents from Aralia elata by response surface methodology.


METHODS
The independent variables were ethanol concentration, reflux time and solvent fold, the dependent variable was extraction rate of total saponins in Aralia elata. Linear or no-linear mathematic models were used to estimate the relationship between independent and dependent variables. Response surface methodology was used to optimize the process of extraction. The prediction was carried out through comparing the observed and predicted values.


RESULTS
Regression coefficient of binomial fitting complex model was as high as 0.9617, the optimum conditions of extraction process were 70% ethanol, 2.5 hours for reflux, 20-fold solvent and 3 times for extraction. The bias between observed and predicted values was -2.41%.


CONCLUSIONS
It shows the optimum model is highly predictive.
Lv
Shao-Wa
SW
College of Pharmacy, Heilongjiang University of Chinese Medicine, Harbin 150040, China. lswa5599@sina.com
Liu
Dong
D
Hu
Pan-Pan
PP
Ye
Xu-Yan
XY
Xiao
Hong-Bin
HB
Kuang
Hai-Xue
HX
D027983:Aralia / Q000737:chemistry*; D000431:Ethanol / Q000737:chemistry; D018515:Plant Leaves / Q000737:chemistry; D012044:Regression Analysis; D015203:Reproducibility of Results; D012503:Saponins / Q000032:analysis / Q000737:chemistry / Q000302:isolation & purification*; D012997:Solvents; D013678:Technology, Pharmaceutical / Q000379:methods*; D013696:Temperature; D013997:Time Factors
D012503:Saponins; D012997:Solvents; D000431:Ethanol