Quality evaluation of Saposhnikoviae Radix based on QAMS combined with information entropy-response surface method / 中国中药杂志

This research was used with high performance liquid chromatography(HPLC), combined with information entropy-response surface method(RSM) to investigate the ethanol concentration, extraction time, liquid-to-material ratio. Taking the content of four chromogens as evaluation indexes, the weight coefficients of each index were given, and the comprehensive score was calculated to optimize the extraction process. Then, prim-O-glucosylcimifugin was used as the reference, the relative calibration factors(RCFs) of cimifugin, 4'-O-β-D-glucosyl-5-O-methylvisamminol and sec-O-glucosylhamaudo to prim-O-glucosylcimifugin were calculated respectively. The contents of four components in Saposhnikoviae Radix were determined by both external standard method(ESM)and quantitative analysis of multi-components by single marker(QAMS) method, and the results were compared. At last, combined with principal component analysis(PCA) and orthogonal partial least squares discriminant analysis(OPLS-DA) to evaluate the quality of the Saposhnikoviae Radix in different production areas. The optimal extraction process parameter of the Saposhnikoviae Radix was as follows: liquid-to-material ratio is 60∶1(mL·g~(-1)), extraction time is 35 min, and ethanol concentration is 70%. The repeatability of the RCFs was perfect, and the results calculated by the QAMS were consistent with the results from the ESM. The stoichiometric results indicate that there are obvious differences in the distribution of Saposhnikoviae Radix in different production areas, and cimifugin and prim-O-glucosylcimifugin are the characteristic compounds that cause this difference. In this study, the optimal extraction process is stable and feasible, and the method of QAMS is accurate and reliable. From the perspective of four chromogens, there are differences in the quality of the Saposhnikoviae Radix in different production areas. Therefore, the established extraction process combined with the method of QAMS can be used to evaluate the quality of Saposhnikoviae Radix and provide a scientific basis for the quality control of Saposhnikoviae Radix.

Optimizing culture conditions for production of intra and extracellular inulinase and invertase from Aspergillus niger ATCC 20611 by response surface methodology (RSM)

Abstract The aim of this study was obtain a model that maximizes growth and production of inulinase and invertase by Aspergillus niger ATCC 20611, employing response surface methodology (RSM). The RSM with a five-variable and three-level central composite design (CCD) was employed to optimize the medium composition. Results showed that the experimental data could be appropriately fitted into a second-order polynomial model with a coefficient of determination (R2) more than 0.90 for all responses. This model adequately explained the data variation and represented the actual relationships between the parameters and responses. The pH and temperature value of the cultivation medium were the most significant variables and the effects of inoculum size and agitation speed were slightly lower. The intra-extracellular inulinase, invertase production and biomass content increased 10-32 fold in the optimized medium condition (pH 6.5, temperature 30 °C, 6% (v/v), inoculum size and 150 rpm agitation speed) by RSM compared with medium optimized through the one-factor-at-a-time method. The process development and intensification for simultaneous production of intra-extracellular inulinase (exo and endo inulinase) and invertase from A. niger could be used for industrial applications.

Optimization of Malaxation Process using Major Aroma Compounds in Virgin Olive Oil

ABSTRACT Optimization of major aroma compounds in olive oils produced from fruits at three maturity stages wasstudied. A central composite design was used for the optimization of malaxation conditions of temperature and times, each at five levels with 13 runs including five central points. The responses of interest were trans-2-hexenal and hexanal, which were investigated and their contents were optimized. A full quadratic second order regression model including the linear, quadratic, and two factor interaction effects was proposed to explain the variation in the contents of target compounds depending on the malaxation conditions. Adequacies of models were evaluated by checking regression coefficients for each model. Models were found to work with high success for trans-2-hexenal prediction for oils from fruits at both purple and black stages, whereas the model for hexanalwas only in black stage oil. Their regression coefficients were higher than 0.86. Influences of time and temperature for the malaxation process were found to be significant for the transition of major aroma compounds from the fruit matrix to olive oil. The optimum conditions of temperature and time pairs to maximize trans-2-hexenal and hexanal was found to be 23°C/31 minutes for black olive and to maximize only trans-2-hexenal was also 29°C/41 minutes for purple olive.

Technology optimization for extracting total favonoids from Gynostemma pentaphyllum by cellulase / 中草药

Objective: To optimize the extracting process of total flavonoids from Gynostemma pentaphyllum. Methods: The total flavonoids were extracted with ethanol 95% after the cellulose treatment to G. pentaphyllum, and the effects of enzyme dosage, enzymatic treatment temperature, enzymatic treatment time, and pH value on the total flavonoids yield was studied with response surface method. Results: The optimal enzymatic extracting process of total flavonoids was as follows: enzyme dosage 120 U/mL, enzymatic temperature 49 °C, enzymatic time 150 min, and pH value 3.9, and the total flavonoids yield reached 0.357%. Conclusion: Cellulase is suitable for the total flavonoid extraction from G. pentaphyllum.

Optimized preparation of Silymarin Dropping Pill by a central composite design-response surface method / 中草药

Objective Using solid dispersion technique to prepare Silymarin Dropping Pill to accelerate dissolution and to improve bioavailability. A central composite design-response surface method was employed to select the optimum formulations. Methods Independent variables were Poloxamer 188 content and silymarin content, while dependent variables were disintegrating time and percent of silymarin dissoluted at a definite time. Linear, two and three order quadratic models were used to estimate the relationship between independent and dependent variables. Response surfaces were delineated according to best-fit mathematic models and optimum formulations were selected there from. Prediction was carried out through comparing the observed and predicted values. Results Three order quadratic equation was the best-fitted mathematic models to describe the relationship between dependent and independent variables, with a regression coefficient of 0.998. Bias between observed and predicted values of disintegrating time and dissolution percentage of optimum formulation dropping pill were negligible, indicating the high predictability of the fit models. Percent dissolution of Silymarin Dropping Pill at 60 min was 19 times as that of conventional tablets. Conclusion Dissolution speed of silymarin can be effectively improved through incorporating into dropping pills. It shows that the optimum mathematic model is highly predictive. The central composite design-response surface method can be fairly used in formulation screening.