Development and optimization of novel controlled-release pioglitazone provesicular powders using 32 factorial design

2015 ◽  
Vol 5 (1) ◽  
pp. 51-62 ◽  
Author(s):  
Marwa H. Shukr ◽  
Nadia A. Eltablawy
Keyword(s):  
Controlled Release ◽  
Factorial Design ◽  
32 Factorial Design

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.

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 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 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

Factorial design for preparing chitosan nanoparticles and its use for loading and controlled release of indole-3-acetic acid with effect on hydroponic lettuce crops

2020 ◽  
Vol 26 ◽  
pp. 101640
Author(s):  
Ana Valderrama N ◽  
Christian Jacinto H ◽  
Jorge Lay ◽  
Yoselyn Flores E ◽  
Daniel Zavaleta C ◽  
...  
Keyword(s):  
Acetic Acid ◽  
Controlled Release ◽  
Factorial Design ◽  
Chitosan Nanoparticles ◽  
Indole 3 Acetic Acid

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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