Optimization of soya lecithin and Tween 80 based novel vitamin D nanoemulsions prepared by ultrasonication using response surface methodology

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.

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

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.419.328 ◽

2013 ◽

Vol 419 ◽

pp. 328-333 ◽

Cited By ~ 1

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.

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Applying Factorial Design and Response Surface Methodology to Enhance Microbial Denitrogenation by Tween 80 and Yeast Extract

Petroleum Science and Technology ◽

10.1080/10916466.2015.1021013 ◽

2015 ◽

Vol 33 (8) ◽

pp. 880-892 ◽

Cited By ~ 5

Author(s):

B. S. Zakaria ◽

H. N. Nassar ◽

S. S. Abu Amr ◽

N. Sh. El-Gendy

Keyword(s):

Response Surface Methodology ◽

Factorial Design ◽

Response Surface ◽

Yeast Extract ◽

Tween 80

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1119.398 ◽

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.

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

Pharmaceutics ◽

10.3390/pharmaceutics14010174 ◽

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.

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OPTIMIZATION OF LUTEOLIN-LOADED TRANSFERSOME USING RESPONSE SURFACE METHODOLOGY

International Journal of Applied Pharmaceutics ◽

10.22159/ijap.2017.v9s1.64_71 ◽

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.

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