Response Surface Methodology to Optimize the Preparation of Chitosan/Alginate Nanoparticles Containing Curcumin Diethyl Disuccinate

2015 ◽  
Vol 1119 ◽  
pp. 398-402
Author(s):  
Settapon Bhunchu ◽  
Pornchai Rojsitthisak ◽  
Pranee Rojsitthisak
Keyword(s):  
Colon Cancer ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Phosphate Buffer ◽  
Tween 80 ◽  
Mass Ratio ◽  
Effective Technique ◽  
Improved Stability

Curcumin diethyl disuccinate (CDD) is a succinate prodrug of curcumin that hasbetter anti-colon cancer and antinociceptive activities than curcumin and improved stability in phosphate buffer at pH 7.4. However, formulation of CDD for pharmaceutical use is limited. Therefore, this study focused on preparation of chitosan/alginate nanoparticles containing CDD and optimization of the formulation using response surface methodology. Chitosan/alginate nanoparticles were prepared by o/w emulsification and ionotropic gelification. The optimized formulation of nanoparticles containing CDD had achitosan/alginate mass ratio of 0.05:1, a CDD concentration of 3 mg/ml, and a Tween 80®content of 4.05% (w/v). Response surface methodology was found to bean effective technique for optimization of the preparation of chitosan/alginatenanoparticles using a limited number of experiments.

Preparation and Optimization of Capsaicin-Loaded Chitosan Nanoparticles as Delivery Systems Using Box-Behnken Design

2020 ◽  
Vol 998 ◽  
pp. 277-282
Author(s):  
Narissara Kulpreechanan ◽  
Feuangthit N. Sorasitthiyanukarn
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Functional Foods ◽  
Water Solubility ◽  
Chitosan Nanoparticles ◽  
Tween 80 ◽  
Limiting Factors ◽  
Design And Optimization ◽  
Chili Peppers

Capsaicin (CAP) is a pungent alkaloid of chili peppers that is obtained from chili peppers that has a variety of pharmacological activities and can be used in various areas, such as functional foods, nutritional supplements and medical nutrition. Capsaicin has important anticancer, antioxidant and anti-inflammatory properties that allow to be applied as treatment for several diseases. However, its lack of water solubility, as well as its poor oral bioavailability in biological systems, show limiting factors for its successful application. Recently, the formulation of capsaicin for food and pharmaceutical use is limited. Therefore, the present study emphasized on preparation of capsaicin-loaded chitosan nanoparticles (CAP-CSNPs) and design and optimization of the formulation using Box-Behnken experimental design (BBD) and response surface methodology (RSM). The capsaicin-loaded chitosan nanoparticles were prepared by o/w emulsification and ionotropic gelification. The optimized formulation of capsaicin-loaded chitosan nanoparticles had a chitosan concentration of 0.11 (%w/v), a Tween 80® concentration of 1.55 (%w/v) and a CAP concentration of 1 mg/mL and that it should be stored at 4°C. Box-Behnken experimental design and response surface methodology was found to be a powerful technique for design and optimization of the preparation of capsaicin-loaded chitosan nanoparticles using limited number of experimental runs. Our study demonstrated that capsaicin-loaded chitosan nanoparticles can be potentially utilized as dietary supplements, nutraceuticals and functional foods.

scholarly journals Process Optimization of Microwave Assisted Simultaneous Distillation and Extraction from Siam cardamom using Response Surface Methodology

Processes ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 449
Author(s):  
Panawan Suttiarporn ◽  
Nalin Wongkattiya ◽  
Kittisak Buaban ◽  
Pisit Poolprasert ◽  
Keerati Tanruean
Keyword(s):  
Response Surface Methodology ◽  
Essential Oil ◽  
Response Surface ◽  
Leaf Sheath ◽  
Scanning Electron Micrographs ◽  
Effective Technique ◽  
Box Behnken Design ◽  
Quadratic Equations ◽  
Gram Positive Bacteria ◽  
Microwave Assisted

The main goal of the research was to optimize microwave-assisted simultaneous distillation and extraction (MA-SDE) using response surface methodology (RSM), based on Box–Behnken design (BBD). A process was designed to extract the essential oil from the leaf sheath of Siam cardamom. The experimental data were fitted to quadratic equations, and the experiment conditions for optimal extraction of 1,8-cineole were extraction time 87.68 min, material-to-water ratio 1:13.18 g/mL and microwave power 217.77 W. Under such conditions, the content of 1,8-cineole was 157.23 ± 4.23 µg/g, which matched with the predicted value. GC–MS results indicated the presence of predominant oxygenated monoterpenes including 1,8-cineole (20.63%), iso-carveol (14.30%), cis-p-mentha-1(7),8-dien-2-ol (12.27%) and trans-p-2,8-menthadien-1-ol (9.66%), and oxygenated contents were slightly higher in the MA-SDE and extraction compared to usual SDE. In addition, the essential oil extracted by MA-SDE exhibited strong antibacterial effects against the tested Gram-positive bacteria. Scanning electron micrographs provided more evidence of destruction of the leaf sheath treated by MA-SDE. Conclusively, microwave-assisted simultaneous distillation and solvent extraction appear to be an effective technique for the separation of essential oils enriched 1,8-cineole from Siam cardamom leaf sheath in a shorter time.

Optimization of Medium Components for β-Glucosidase Production from Aspergillus Niger by Response Surface Methodology

2013 ◽  
Vol 419 ◽  
pp. 328-333 ◽  
Author(s):  
Chao Zhang ◽  
Rui Huang ◽  
Hui Tian ◽  
Ru Ming Zhao ◽  
Fa Shun Yu ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Yeast Extract ◽  
Influence Factors ◽  
Mutual Effect ◽  
Tween 80 ◽  
Fermentation Medium ◽  
Medium Composition ◽  
Malt Extract ◽  
Medium Components

β-Glucosidase is the key enzyme for the utilization of lignocellulose.But the commercial β-glucosidase can’t be produced. This paper focuses on the study of the β-glucosidase fermentation process.The fermentation medium components for β-glucosidase production from Aspergil lusniger was optimized by response surface methodology (RSM). Firstly, the three of the most important influence factors yeast extract, MnSO4•H2O and MgSO4•7H2O was obtained from Plackett-Burman design screening. Then the path of steepest ascent experiment was adopted to approach the optimal region of the medium composition. Lastly, the optimal concentration and mutual effect of three factors were predicted by RSM. The results showed that the best medium composition was Malt extract 18g/L, Yeast extract 3.22g/L, KH2PO4 3g/L, MnSO4•H2O 0.58mM, Tween-80 0.5mL/L and MgSO4•7H2O 0.23g/L. Under these fermentation conditions, the activity of β-glucosidase was up to 7.33IU/mL with increasing 23.2% than before.

scholarly journals Optimization Study of Biomass Hydrogenation to Ethylene Glycol Using Response Surface Methodology

Processes ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 588
Author(s):  
Poh Gaik Law ◽  
Noor Haida Sebran ◽  
Ashraf Zin Zawawi ◽  
Azlan Shah Hussain
Keyword(s):  
Response Surface Methodology ◽  
Ethylene Glycol ◽  
Response Surface ◽  
Process Parameters ◽  
Quadratic Function ◽  
Quadratic Model ◽  
Coefficient Of Determination ◽  
Mass Ratio ◽  
Empty Fruit Bunches ◽  
Binary Catalyst

Statistical-based study using response surface methodology (RSM) was conducted to study the effects of process parameters towards biomass hydrogenation. Using Malaysian oil palm empty fruit bunches (EFB) fibres as feedstock, the central composite design (CCD) technique was employed and 18 runs were generated by CCD when four parameters (mass ratio of binary catalyst, hydrogen pressure, temperature and mass ratio of catalyst to feedstock) were varied with two center points to determine the effects of process parameters and eventually to get optimum ethylene glycol (EG) yield. RSM with quadratic function was generated for biomass hydrogenation, indicating all factors except temperature, were important in determining EG yield. Analysis of variance (ANOVA) showed a high coefficient of determination (R2) value of >0.98, ensuring a satisfactory prediction of the quadratic model with experimental data. The quadratic model suggested the optimum EG yield should be >25 wt.% and the EG yield results were successfully reproduced in the laboratory.

scholarly journals Insights from a Box–Behnken Optimization Study of Microemulsions with Salicylic Acid for Acne Therapy

Pharmaceutics ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 174
Author(s):  
Maria-Cristina Anicescu ◽  
Cristina-Elena Dinu-Pîrvu ◽  
Marina-Theodora Talianu ◽  
Mihaela Violeta Ghica ◽  
Valentina Anuța ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Salicylic Acid ◽  
Hyaluronic Acid ◽  
Response Surface ◽  
Droplet Size ◽  
Tween 80 ◽  
High Viscosity ◽  
Fractional Factorial ◽  
Work Of Adhesion ◽  
The Impact

The present study brings to attention a method to develop salicylic acid-based oil in water (O/W) microemulsions using a tensioactive system based on Tween 80, lecithin, and propylene glycol (PG), enriched with a vegetable oat oil phase and hyaluronic acid. The systems were physically characterized and the Quality by design approach was applied to optimize the attributes of microemulsions using Box–Behnken modeling, combined with response surface methodology. For this purpose, a 33 fractional factorial design was selected. The effect of independent variables namely X1: Tween 80/PG (%), X2: Lecithin (%), X3: Oil phase (%) was analyzed considering their impact upon the internal structure and evaluated parameters chosen as dependent factors: viscosity, mean droplet size, and work of adhesion. A high viscosity, a low droplet size, an adequate wettability—with a reduced mechanical work—and clarity were considered as desirable for the optimal systems. It was found that the optimal microemulsion which complied with the established conditions was based on: Tween 80/PG 40%, lecithin 0.3%, oat oil 2%, salicylic acid 0.5%, hyaluronic acid 1%, and water 56.2%. The response surface methodology was considered an appropriate tool to explain the impact of formulation factors on the physical properties of microemulsions, offering a complex pattern in the assessment of stability and quality attributes for the optimized formulation.

scholarly journals OPTIMIZATION OF LUTEOLIN-LOADED TRANSFERSOME USING RESPONSE SURFACE METHODOLOGY

2017 ◽  
Vol 9 ◽  
pp. 107
Author(s):  
Damai Ria Setyawati ◽  
Silvia Surini ◽  
Etik Mardliyati
Keyword(s):  
Particle Size ◽  
Response Surface Methodology ◽  
Zeta Potential ◽  
Response Surface ◽  
Total Lipid ◽  
Entrapment Efficiency ◽  
Tween 80 ◽  
Spherical Particles ◽  
Lipid Mixture ◽  
Independent Variables

Objective: This research was carried out to optimize luteolin-loaded transfersome formula with independent variables such as lipid–surfactant (totallipid) concentration and luteolin concentration.Methods: Luteolin-loaded transfersome was optimized by response surface methodology based on four parameters, namely, particle size (Z-average),polydispersity index, zeta potential, and entrapment efficiency. The transfersome formula was prepared using central composite design, and theselected independent variables were the total lipid (mixture of phospholipid and Tween 80) and luteolin concentrations. 14 formulas of luteolinloadedtransfersome were prepared by thin film hydration, followed by the sonication method.Results: The total lipid and luteolin concentration significantly affected the entrapment efficiency only. The other parameters were not affected by achange in these variables. The optimum formula of 4.88% total lipid and 0.5% luteolin with desirability value of 0.609 conformed with the predictionparameters. Vesicle imaging using transmission electron microscopy revealed spherical particles and the occurrence of particle aggregation. Theoptimum formula of luteolin-loaded transfersome possessed the following characteristics: Particle size of 286.03±8.46 nm, polydispersity indexof 0.480±0.013, zeta potential of -18.67±0.379 mV, and entrapment efficiency of 94.97±0.28 %. However, these values did not correspond to thepredicted values and were confirmed by the low adjusted and predicted R-squared values.Conclusion: This method can be applied to optimize the entrapment efficiency, and in the future, it can be used for further optimizing formula oftransfersome by including more variables.

scholarly journals Chemometric Access for RP-HPLC Simultaneous Estimation of Tadalafil and Dapoxetine Applying Response Surface Methodology

2021 ◽  
pp. 278-288
Author(s):  
S. Jayaseelan ◽  
N. Kannappan ◽  
V. Ganesan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Flow Rate ◽  
Phosphate Buffer ◽  
Desirability Function ◽  
Hplc Method ◽  
Simultaneous Estimation ◽  
Statistical Experimental Design ◽  
Good Resolution ◽  
Rp Hplc

Aims: A RP-HPLC method was developed and validated for simultaneous estimation of Tadalafil and Dapoxetine applying statistical experimental design. Methodology: Multivariate optimization of the experimental conditions of RP-HPLC method was using Design of experiments. Independent three factors like phosphate buffer pH, mobile phase composition and flow rate were applied to design mathematical models. To study the response surface methodology by using Central composite design (CCD). In depth the effects of these independent factors was studied using CCD. Simultaneously optimize the retention time and resolution of the analytes was applying Desirability function. Results: The predicted and optimized data from contour picture containing phosphate buffer (pH 3.4) and acetonitrile in the ratio of 40:60%v/v respectively. Flow rate was found to be 0.8 ml/min. Baseline separation of both analytes with run time of less than 10.0 min and good resolution were achieved using these optimum conditions. Conclusion: Method was validated according to ICH guidelines by using optimized assay conditions. Therefore, the reports distinctly indicated that Quality by design access could be satisfactorily used to optimize RP-HPLC method for simultaneous estimation of Tadalafil and Dapoxetine.

scholarly journals Optimization of Silicon Leaching for White Carbon Black Preparation from Vanadium-Extraction Residue Using Response Surface Methodology

2020 ◽  
Vol 71 (8) ◽  
pp. 206-219
Author(s):  
Shun Wang ◽  
Shenxu Bao ◽  
Yimin Zhang ◽  
Yizhong Yuan
Keyword(s):  
High Pressure ◽  
Response Surface Methodology ◽  
Carbon Black ◽  
Response Surface ◽  
Regression Equation ◽  
Mass Ratio ◽  
Solid Ratio ◽  
Vanadium Extraction ◽  
Alkali Leaching ◽  
Leaching Parameters

Vanadium-extraction residue (VER) is rich in silicon and the high temperature and high pressure alkali leaching can be used to prepare white carbon black (WCB). The effects of the mass ratio of alkali to slag, liquid-solid ratio, reaction temperature and reaction time on the silica leaching ratio were investigated. Response surface methodology was used to analyze the interaction of these main leaching parameters and the final regression equation can be obtained. By using the regression equation, the leaching schemes can be designed as the maximum leaching ratio of silica was set, thereby the optimal leaching parameters also can be obtained to reduce the leaching cost. Repeated experiments showed that the optimized leaching ratio can reach 95.26% which was just lower the predicted value by 2.17%, indicating that the regression equation was reliable to be used to optimize the leaching process. The WCB product with specific surface area of 105.1 m2/g was verified by XRD and FTIR.

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