A STATISTICAL APPROACH TO DEVELOPMENT OF TASTE MASKED EFFERVESCENT TABLETS OF SILDENAFIL CITRATE CONTAINING KYRON T134

Objective: The aim of present work was to mask the bitter taste of sildenafil citrate by preparing drug resin complex (DRC) and develop sildenafil citrate 100 mg effervescent tablets. Methods: Sildenafil citrate and kyron T134 complexes were prepared at different conditions and evaluated for taste and drug loading. Optimized DRC was use to formulate the dispersible tablet by direct compression technique. A 32 full factorial design was use to study the effect of effervescent agent (X1) and croscarmellose sodium (X2) on dispersion time (Y1) and wetting time (Y2). Factorial batches were also evaluated for thickness, hardness, content uniformity, friability, in vitro drug release and stability studies. Multiple linear regression analysis, ANOVA and graphical representation of the influence factor by 3D plots were performing by using sigma plot 11.0. A Check point batch was design according to the results of desirability value and evaluated for all the parameter Results: FT-IR study confirm that sildenafil citrate and kyron T134 were compatible with each other. Among the various DRC batch B29 was found with less bitter and give a more drug loading. Checkpoint batch showed no significance difference between predicted value and actual value for dispersion time and wetting time and it was found stable during stability study. Conclusion: Sildenafil citrate bitter tast was masked by kyron T134 and full factorial design result was indicate that independent variables have significant effect on dependent variables

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Development and Validation of Stability Indicating Method for Simultaneous Estimation of Esomeprazole and Levosulpiride by HPTLC using Experimental Design

Asian Journal of Organic & Medicinal Chemistry ◽

10.14233/ajomc.2020.ajomc-p273 ◽

2020 ◽

Vol 5 (3) ◽

pp. 213-220

Author(s):

M.M. Pandey ◽

K.B. Prajapati ◽

A.J. Vyas ◽

A.M. Patel ◽

N.K. Patel ◽

...

Keyword(s):

Factorial Design ◽

Desirability Function ◽

Linear Regression Analysis ◽

Full Factorial Design ◽

Simultaneous Estimation ◽

Forced Degradation ◽

Pharmaceutical Dosage Form ◽

Stability Indicating Method ◽

Esomeprazole Magnesium ◽

Full Factorial

The present study examines simultaneous multiple response optimization using desirability function for the development of an HPTLC method to detect esomeprazole magnesium trihydrate and levosulpiride in pharmaceutical dosage form. HPTLC separation was performed on aluminium plates pre-coated with silica gel 60 F254 as the stationary phase using ethyl acetate:methanol:toluene:ammonia (7:1.5:1.5:0.1% v/v/v) as the mobile phase. Full factorial design applied for the optimization of degradation condition. Esomeprazole magnesium trihydrate and levosulpiride were subjected to acid, alkali hydrolysis, oxidation and photodegradation. Experimental full factorial design has been used during forced degradation to determine significant factors responsible for degradation and to optimize degradation conditions reaching maximum degradation. 32 and 23 full factorial design has been used for optimization of chromatographic condition in acid and base degradation study, respectively. Quantification was achieved based on a densitometric analysis of esomeprazole magnesium trihydrate and levosulpiride over the concentration range of 800-4000 ng/band and 1500-7500 ng/band, respectively at 254 nm. The method yielded compact and well-resolved bands at Rf of 0.70 ± 0.02 and 0.32 ± 0.02 for esomeprazole magnesium trihydrate and levosulpiride, respectively. The linear regression analysis for the calibration plots produced r2 = 0.9967 and r2 = 0.9981 for esomeprazole magnesium trihydrate and levosulpiride, respectively. Method is validated as per ICH (Q2)R1 guideline.

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A Statistical Study on the Development of Metronidazole-Chitosan-Alginate Nanocomposite Formulation Using the Full Factorial Design

Polymers ◽

10.3390/polym12040772 ◽

2020 ◽

Vol 12 (4) ◽

pp. 772 ◽

Cited By ~ 2

Author(s):

Hazem Abdul Kader Sabbagh ◽

Samer Hasan Hussein-Al-Ali ◽

Mohd Zobir Hussein ◽

Zead Abudayeh ◽

Rami Ayoub ◽

...

Keyword(s):

Particle Size ◽

Zeta Potential ◽

Factorial Design ◽

Drug Loading ◽

Spherical Shape ◽

Full Factorial Design ◽

Gravimetric Analysis ◽

Loading Efficiency ◽

Full Factorial

The goal of this study was to develop and statistically optimize the metronidazole (MET), chitosan (CS) and alginate (Alg) nanoparticles (NP) nanocomposites (MET-CS-AlgNPs) using a (21 × 31 × 21) × 3 = 36 full factorial design (FFD) to investigate the effect of chitosan and alginate polymer concentrations and calcium chloride (CaCl2) concentration ondrug loading efficiency(LE), particle size and zeta potential. The concentration of CS, Alg and CaCl2 were taken as independent variables, while drug loading, particle size and zeta potential were taken as dependent variables. The study showed that the loading efficiency and particle size depend on the CS, Alg and CaCl2 concentrations, whereas zeta potential depends only on the Alg and CaCl2 concentrations. The MET-CS-AlgNPs nanocomposites were characterized by X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), thermal gravimetric analysis (TGA), scanning electron microscopy (SEM) and in vitro drug release studies. XRD datashowed that the crystalline properties of MET changed to an amorphous-like pattern when the nanocomposites were formed.The XRD pattern of MET-CS-AlgNPs showed reflections at 2θ = 14.2° and 22.1°, indicating that the formation of the nanocompositesprepared at the optimum conditions havea mean diameter of (165±20) nm, with a MET loading of (46.0 ± 2.1)% and a zeta potential of (−9.2 ± 0.5) mV.The FTIR data of MET-CS-AlgNPs showed some bands of MET, such as 3283, 1585 and 1413 cm−1, confirming the presence of the drug in the MET-CS-AlgNPs nanocomposites. The TGA for the optimized sample of MET-CS-AlgNPs showed a 70.2% weight loss compared to 55.3% for CS-AlgNPs, and the difference is due to the incorporation of MET in the CS-AlgNPs for the formation of MET-CS-AlgNPs nanocomposites. The release of MET from the nanocomposite showed sustained-release properties, indicating the presence of an interaction between MET and the polymer. The nanocomposite shows a smooth surface and spherical shape. The release profile of MET from its MET-CS-AlgNPs nanocomposites was found to be governed by the second kinetic model (R2 between 0.956–0.990) with more than 90% release during the first 50 h, which suggests that the release of the MET drug can be extended or prolonged via the nanocomposite formulation.

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Application of 32 Full Factorial Design and Desirability Function for Optimizing The Manufacturing Process for Directly Compressible Multi-Functional Co-Processed Excipient

Current Drug Delivery ◽

10.2174/1567201817666200508094743 ◽

2020 ◽

Vol 17 (6) ◽

pp. 523-539

Author(s):

Jalpa Patel ◽

Dhaval Mori

Keyword(s):

Factorial Design ◽

Spray Drying ◽

Desirability Function ◽

Full Factorial Design ◽

Angle Of Repose ◽

P Value ◽

Independent Variables ◽

Full Factorial ◽

32 Full Factorial Design ◽

Response Variables

Background: Developing a new excipient and obtaining its market approval is an expensive, time-consuming and complex process. Compared to that, the co-processing of already approved excipients has emerged as a more attractive option for bringing better characteristic excipients to the market. The application of the Design of Experiments (DoE) approach for developing co-processed excipient can make the entire process cost-effective and rapid. Objective: The aim of the present investigation was to demonstrate the applicability of the DoE approach, especially 32 full factorial design, to develop a multi-functional co-processed excipient for the direct compression of model drug - cefixime trihydrate using spray drying technique. Methods: The preliminary studies proved the significant effect of atomization pressure (X1) and polymer ratio (microcrystalline cellulose: mannitol - X2) on critical product characteristics, so they were selected as independent variables. The angle of repose, Carr’s index, Hausner’s ratio, tensile strength and Kuno’s constant were selected as response variables. Result: The statistical analysis proved a significant effect of both independent variables on all response variables with a significant p-value < 0.05. The desirability function available in Design Expert 11® software was used to prepare and select the optimized batch. The prepared co-processed excipient had better compressibility than individual excipients and their physical mixture and was able to accommodate more than 40 percent drug without compromising the flow property and compressibility. Conclusion: The present investigation successfully proved the applicability of 32 full factorial design as an effective tool for optimizing the spray drying process to prepare a multi-functional co-processed excipient.

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Formulation of Extended-Release Beads of Lamotrigine Based on Alginate and Cassia fistula Seed Gum by QbD Approach

Current Drug Delivery ◽

10.2174/1567201817666200317124022 ◽

2020 ◽

Vol 17 (5) ◽

pp. 422-437

Author(s):

Dixita Jain ◽

Akshay Sodani ◽

Swapnanil Ray ◽

Pranab Ghosh ◽

Gouranga Nandi

Keyword(s):

Drug Release ◽

Factorial Design ◽

Extended Release ◽

Polymer Concentration ◽

Green Manufacturing ◽

Full Factorial Design ◽

Cassia Fistula ◽

Negative Environmental Impact ◽

Seed Gum ◽

Full Factorial

Aim: This study was focused on the formulation of the multi-unit extended-release peroral delivery device of lamotrigine for better management of epilepsy. Background: The single-unit extended-release peroral preparations often suffer from all-or-none effect. A significant number of multi-unit delivery systems have been reported as a solution to this problem. But most of them are found to be composed of synthetic, semi-synthetic or their combination having physiological toxicity as well as negative environmental impact. Therefore, fabrication and formulation of multi-unit extended-release peroral preparations with natural, non-toxic, biodegradable polymers employing green manufacturing processes are being appreciated worldwide. Objective: Lamotrigine-loaded extended-release multi-unit beads have been fabricated with the incorporation of a natural polysaccharide Cassia fistula seed gum in calcium-cross-linked alginate matrix employing a simple green process and 23 full factorial design. Methods: The total polymer concentration, polymer ratio and [CaCl2] were considered as independent formulation variables with two different levels of each for the experiment-design. The extended-release beads were then prepared by the ionotropic gelation method using calcium chloride as the crosslinkerions provider. The beads were then evaluated for drug encapsulation efficiency and drug release. ANOVA of all the dependent variables such as DEE, cumulative % drug release at 2h, 5h, 12h, rate constant and dissolution similarity factor (f2) was done by 23 full factorial design using Design-Expert software along with numerical optimization of the independent variables in order to meet USP-reference release profile. Results: The optimized batch showed excellent outcomes with DEE of 84.7 ± 2.7 (%), CPR2h of 8.41± 2.96 (%), CPR5h of 36.8± 4.7 (%), CPR12h of 87.3 ± 3.64 (%) and f2 of 65.9. Conclusion: This approach of the development of multi-unit oral devices utilizing natural polysaccharides might be inspiring towards the world-wide effort for green manufacturing of sustained-release drug products by the QbD route.

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