scholarly journals Datura stramonium Leaves Mucilage Aided Buccoadhesive Films of Aceclofenac using 32 Factorial Design with Design-Expert Software

2021 ◽  
Vol 55 (2s) ◽  
pp. s396-s404
Author(s):  
Hindustan Abdul Ahad ◽  
Haranath Chinthaginjala ◽  
Manchikanti Sai Priyanka ◽  
Dasari Rahul Raghav ◽  
Madana Gowthami ◽  
...  
Keyword(s):  
Factorial Design ◽  
Datura Stramonium ◽  
Design Expert ◽  
32 Factorial Design

scholarly journals Formulation Development and Evaluation of Mouth Dissolving Tablet of Aspirin by Using QbD Approach

2021 ◽  
Vol 20 (1) ◽  
pp. 19-29
Author(s):  
Nilima A Thombre ◽  
Pradeep S Ahire ◽  
Sanjay J Kshirsagar
Keyword(s):  
Drug Release ◽  
Quality By Design ◽  
Formulation Development ◽  
Compression Method ◽  
Disintegration Time ◽  
In Vitro Drug Release ◽  
Design Expert ◽  
32 Factorial Design ◽  
Mouth Dissolving Tablet

In the current investigations, mouth dissolving tablets (MDT) were developed by applying quality by design (QbD) approach. Direct compression method was applied for the preparation of MDT containing aspirin using 32 factorial design with quantity of drug, microcrystalline cellulose (MCC) and crosscarmellose sodium (CCS) as dependant variables. MCC and CCS were used as superdisintegrants. Sodium stearyl fumarate was used as lubricant. Developed MDT were evaluated for characteristics like hardness, friability, disintegration time (DT) and in vitro drug release . Design Expert 11.0 described adequately impact of selected variables (MCC and CCS) at various levels for response under study (DT and friability). The optimized batch showed disintegration time of 15-28 secs, friability within 1% and in vitro drug release of 75-98% after 30 mins, respectively. The present study of experimental design revealed that MCC and CCS are fruitful at low concentration to develop the optimized formulation. As per the results obtained from the experiments, it can be concluded that QbD is an effective and efficient approach for the development of quality into MDT with the application of QTPP, risk assessment and critical quality attributes (CQA). Dhaka Univ. J. Pharm. Sci. 20(1): 19-29, 2021 (June)

scholarly journals Formulation and Development of Stable Metaxalone Nanosuspension Using 32 Factorial Design

2016 ◽  
Vol 8 (04) ◽  
Author(s):  
Paras R. Vasanani ◽  
L. Patel ◽  
Chetan Detroja
Keyword(s):  
Particle Size ◽  
Factorial Design ◽  
Surfactant Concentration ◽  
Class Ii ◽  
Poloxamer 407 ◽  
Saturation Solubility ◽  
Poor Solubility ◽  
Bcs Class Ii ◽  
Stirring Time ◽  
32 Factorial Design

Nanosuspensions are the dispersions of nanosized particles in a suitable vehicle prepared using surfactants or solubilizers to aid in nanosize distribution. Nanosuspension is best suited for dosage form development of poorly soluble drugs. According to the biopharmaceutical classification system, drugs with poor solubility fall either in BCS class II or BCS class IV. BCS class II drugs show poor solubility and good permeability; hence their bioavailability problems can be overcome by improving their solubility. Metaxalone is one such BCS class II drug from an oxazolidin-2-one class of centrally acting muscle relaxant drugs, indicated for relief of discomforts associated with acute, painful musculoskeletal conditions. Therefore, in present investigation, nanosuspension of Metaxalone has been formulated as an attempt to improve solubility and hence the overall bioavailability of Metaxalone. Media milling technique has been employed for nanosuspension preparation. Surfactant concentration (Poloxamer 407) and stirring time has been optimized using 32 factorial design to achieve desired particle size and saturation solubility responses as dependent variables. The particle size (PS) of 215.3 nm and maximum saturation solubility (SS) of 2805μg/ml was obtained as suggested solutions from factorial design which was further confirmed using check point analysis. Interaction of surfactant concentration and stirring time and their effect on particle size and saturation solubility was predicted using the contour plots and response surface plots. The optimized formulation showed around 99% metaxalone in vitro dissolution in comparison to around 46% dissolution from SKELAXIN® tablet at 30 minutes. These methodologies could therefore be employed successfully to improve solubility of any BCS class II drug and to predict effects and interactions of many experimental variables at the same time.

USE OF FACTORIAL DESIGN IN OPTIMIZATION OF MICROWAVE ASSISTED ORGANIC SYNTHESIS OF SOME AZOLES

INDIAN DRUGS ◽  
2018 ◽  
Vol 55 (10) ◽  
pp. 24-33
Author(s):  
R. R Somani ◽  
◽  
G. J. Sanap ◽  
P. K Chaskar
Keyword(s):  
Factorial Design ◽  
Organic Synthesis ◽  
Maximum Yield ◽  
Minimum Time ◽  
Organic Reactions ◽  
Design Approach ◽  
Environment Friendly ◽  
Microwave Assisted ◽  
Synthetic Reactions ◽  
32 Factorial Design

In the era of environment friendly chemistry, Microwave Assisted Organic Synthesis (MAOS) has proved to be an effective tool to achieve maximum yield in minimum time without compromising on quality. The present work focuses on synthesis of some bioactive heterocyclic azoles using MAOS. However, the synthetic reactions are optimized using a known technique of factorial designing. Here, 32 factorial design approach is used to achieve the set targets of yields and purity. The outcome has been very promising and opens up new avenues for organic chemists who face challenges in optimizing organic reactions.

3 FACTORIAL DESIGN FOR OPTIMISATION OF COLORIMETRIC METHOD FOR QUANTIFICATION OF CAPTOPRIL

INDIAN DRUGS ◽  
2016 ◽  
Vol 53 (09) ◽  
pp. 47-52
Author(s):  
S. S Desai ◽  
◽  
K. A Dave ◽  
J. D. Naik ◽  
A. B. Yadav
Keyword(s):  
Factorial Design ◽  
Ferric Chloride ◽  
Regression Coefficient ◽  
Colorimetric Method ◽  
Chloride Concentration ◽  
Potassium Ferricyanide ◽  
Optimum Concentration ◽  
Design Expert ◽  
Method Effect ◽  
Ich Guidelines

Captopril was quantitatively determined by colorimetry using ferric chloride and potassium ferricyanide. 33 factorial design with help of design expert software (version 9.0.4) was used for optimisation of method. Effect of method variables such as concentration of ferric chloride, concentration of potassium ferricyanide and volume of both reagents was evaluated on method response absorbance. Optimum concentration of ferric chloride and potassium ferricyanide was found to be 0.3% and 0.2%, respectively and optimum volume of both reagents was found to be 1.5 mL. The developed method was validated as per ICH guidelines. The linearity of the proposed method was found in the concentration range of 1.0 – 6.0 μg/mL with regression coefficient (R2) of 0.9913. The % recovery was found between 98.23- 104.25 %. The method was found to be precise as the values of % RSD obtained were found to be

Evaluation and Formulation of Biodegradable Levodopa Microspheres Using 32 Factorial Design

1998 ◽  
pp. 41-49
Author(s):  
Betül Arıca ◽  
H. Süheyla Kaş ◽  
A. Atilla Hıncal
Keyword(s):  
Factorial Design ◽  
32 Factorial Design

scholarly journals ENHANCEMENT OF AQUEOUS SOLUBILITY OF EZOGABINE: PREPARATION AND CHARACTERIZATION OF EZOGABINE NANOSUSPENSION ANTICIPATED FOR NOSE TO BRAIN TARGETING BY 32 FACTORIAL DESIGN

2016 ◽  
Vol 8 ◽  
pp. 60
Author(s):  
Pawar Anil R. ◽  
Keyword(s):  
Factorial Design ◽  
Aqueous Solubility ◽  
Brain Targeting ◽  
32 Factorial Design

ENHANCEMENT OF AQUEOUS SOLUBILITY OF EZOGABINE: PREPARATION AND CHARACTERIZATION OF EZOGABINE NANOSUSPENSION ANTICIPATED FOR NOSE TO BRAIN TARGETING BY 32 FACTORIAL DESIGN

Formulation Development of Aceclofenac Loaded Nanosupension by Three Square (32) Factorial Design

2012 ◽  
Vol 4 (4) ◽  
pp. 1575-1583
Author(s):  
Atul A Patak ◽  
Jorwekar, P ◽  
P D Chaudhari
Keyword(s):  
Particle Size ◽  
Drug Release ◽  
Factorial Design ◽  
In Vivo Studies ◽  
Differential Scanning Calorimetric ◽  
Formulation Development ◽  
Drug Release Profile ◽  
Calorimetric Analysis ◽  
32 Factorial Design

In the present study, aceclofenac loaded polymeric nanosuspension were formulated and evaluated.  Aceclofenac is a potent analgesic under BCS Class II. Due to the need for its frequent dosing, aceclofenac is an ideal candidate for sustained or controlled drug delivery. For optimization of prepared formulation, the three square (32) factorial design was used.  Tween 80 (X1) and combination of Eudragit RL 100 and RS 100 (X2) were used as independent variables and particle size (Y1), entrapment efficiency (Y2), and Percent drug release (Y3) were taken as dependent variables. The formulations were evaluated for particle size, zeta potential and drug entrapment. The in vitro drug release profile supports nanosuspension form to be used as a sustained release vehicle for aceclofenac. The formulation was characterized by differential scanning calorimetric analysis, in vivo studies and stability testing.

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