Response Surface Optimization of Catechin Liposomes Preparation Using the Rapid Expansion of Supercritical Solution Process

2020 ◽  
Vol 20 (12) ◽  
pp. 7583-7592
Author(s):  
Zhen Jiao ◽  
Sai Han ◽  
Weifang Wang ◽  
Jiangrui Cheng ◽  
Junying Song

Phospholipid liposomes are a promising drug delivery system. Catechin, a hydrophilic drug, was used to prepare catechin liposomes through a modified rapid expansion of supercritical solution (RESS) process in this study. The influences of operation parameters (i.e., temperature, pressure, and mass ratio of liposomal materials to catechin) on the properties of the prepared liposomes were determined using the single-factor analysis. The process was further optimized by response surface methodology (RSM) based on the Box-Behnken design (BBD). The encapsulation efficiency (EE) values can be adequately predicted using the obtained equation. The maximum EE value can reach 61.36±0.68% under the optimal parameters (i.e., the expansion temperature, pressure, and p/c mass ratio were 56.34 °C, 19.99 MPa, and 5.99, respectively). The prepared liposomes can effectively protect and stabilize the loaded catechin effectively. In addition, the in vitro release study showed the slow and sustained release behavior of the catechin liposomes.

2018 ◽  
Vol 77 (9) ◽  
pp. 2204-2212 ◽  
Author(s):  
Inderpreet Kaur ◽  
Sonal Gaba ◽  
Sukhraj Kaur ◽  
Rajeev Kumar ◽  
Jyoti Chawla

Abstract A spectrophotometric method based on diazotization of aniline with triclosan has been developed for the determination of triclosan in water samples. The diazotization process involves two steps: (1) reaction of aniline with sodium nitrite in an acidic medium to form diazonium ion and (2) reaction of diazonium ion with triclosan to form a yellowish-orange azo compound in an alkaline medium. The resulting yellowish-orange product has a maximum absorption at 352 nm which allows the determination of triclosan in aqueous solution in the linear concentration range of 0.1–3.0 μM with R2 = 0.998. The concentration of hydrochloric acid, sodium nitrite, and aniline was optimized for diazotization reaction to achieve good spectrophotometric determination of triclosan. The optimization of experimental conditions for spectrophotometric determination of triclosan in terms of concentration of sodium nitrite, hydrogen chloride and aniline was also carried out by using Box–Behnken design of response surface methodology and results obtained were in agreement with the experimentally optimized values. The proposed method was then successfully applied for analyses of triclosan content in water samples.


2018 ◽  
Vol 133 ◽  
pp. 486-493 ◽  
Author(s):  
Biao-Qi Chen ◽  
Ranjith Kumar Kankala ◽  
Shi-Bin Wang ◽  
Ai-Zheng Chen

2012 ◽  
Vol 455-456 ◽  
pp. 834-839 ◽  
Author(s):  
Wei Qiang Tang ◽  
Shi Tao Nie ◽  
Yang Xiao Lv ◽  
Kai Feng Liang

The Response Surface Analysis using the BBD (Box-Behnken Design) design (Design Expert, Cabit Information Technology Co., Ltd) was applied in identifying the optimal process parameters for the separation and purification of fennel oil using molecular distillation technology. The experiments were carried out based on single factor analysis (feeding rate, evaporation temperature and film wiping speed). The dependent variable second-order regression equation was obtained. The optimal conditions were identified as: feeding rate = 2 drops/second, evaporation temperature = 50°C and film wiping speed = 215 rpm. The concentration of anisole in the extraction under the optimized condition reached 86.69%.


Author(s):  
GANESH N. SHARMA ◽  
C. H. PRAVEEN KUMAR ◽  
BIRENDRA SHRIVASTAVA ◽  
B. KUMAR

Objective: The present research was designed to produce methylprednisolone containing chitosan-based nanoparticles using Box-Behnken Design (BBD) and Response Surface Methodology (RSM) for optimization. Methods: Nanostructures were prepared using the ionic gelation method with screened process parameters. According to the design, methylprednisolone chitosan-based nanoparticles (MCSNPs) were optimized using factors like methylprednisolone concentration, stirring speed and temperature whereas particle size, zeta potential and % encapsulation efficiency as responses. From the observed values of responses with confirmation location and desirability, the predicted values were very close to the observed values. Results: Observed values for the optimized formulation have a particle size of 243±2.33 nm with an encapsulation efficiency of 79.3±7.2%. Morphology of the particles using scanning electron microscopy reveals nearly spherical shaped particles. Methylprednisolone was released in vitro in a sustained manner for about 24 h in simulated colonic fluid pH 7, pH 7.8 (Fasted state) and phosphate buffer pH 7.4, when compared to simulated colonic fluid at pH 6 (Fed state). Optimized MCSNPs followed Korsmeyer peppas kinetics with drug release mechanism as anomalous transport. Conclusion: Application of Box-Behnken design and Response Surface Methodology using Design Expert software was successfully used in the optimization of methylprednisolone loaded chitosan-based nanoparticles with high encapsulation efficiency.


2020 ◽  
Vol 11 (3) ◽  
pp. 10027-10039

The current study focusses on the optimization of Copper oxide nanoparticles (CuO NPs) biosynthesis with Alternanthera sessilis (L.) extract using response surface methodology (RSM). The effect of time, pH, and extract to metal concentration ratio on the yield of synthesized nanoparticles (NPs) were estimated using Box–Behnken design. The influence of each of the parameters, as mentioned earlier, was determined by synthesizing nanoparticles under different conditions. A total of 29 experimental runs were carried out to estimate the crucial parameters. Extract to the metal ratio was found to be the vital parameter for yield optimization based on the p-values (p-value < 0.05). The physicochemical property of NPs, like size, was estimated to be in the range of 10-20 nm. In zebrafish, 48 hpf and 72 hpf were measured at 90 µM to reduce dysfunction and mortality during organ development. These results can have a valuable impact on eco-toxicological effects.


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