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Optimization of Metronidazole Emulgel.

Rao M, Sukre G, Aghav S, Kumar M - J Pharm (Cairo) (2013)

Bottom Line: The statistical validity of the polynomials was established, and optimized formulation factors were selected.Validation of the optimization study with 3 confirmatory runs indicated a high degree of prognostic ability of response surface methodology.Emulgel system of MTZ was developed and optimized using 2(3) factorial design and could provide an effective treatment against topical infections.

View Article: PubMed Central - PubMed

Affiliation: Department of Pharmaceutics, AISSMS College of Pharmacy, Kennedy Road, Maharashtra, Pune 411 001, India.

ABSTRACT
The purpose of the present study was to develop and optimize the emulgel system for MTZ (Metronidazole), a poorly water soluble drug. The pseudoternary phase diagrams were developed for various microemulsion formulations composed of Capmul 908 P, Acconon MC8-2, and propylene glycol. The emulgel was optimized using a three-factor, two-level factorial design, the independent variables selected were Capmul 908 P, and surfactant mixture (Acconon MC8-2 and gelling agent), and the dependent variables (responses) were a cumulative amount of drug permeated across the dialysis membrane in 24 h (Y 1) and spreadability (Y 2). Mathematical equations and response surface plots were used to relate the dependent and independent variables. The regression equations were generated for responses Y 1 and Y 2. The statistical validity of the polynomials was established, and optimized formulation factors were selected. Validation of the optimization study with 3 confirmatory runs indicated a high degree of prognostic ability of response surface methodology. Emulgel system of MTZ was developed and optimized using 2(3) factorial design and could provide an effective treatment against topical infections.

No MeSH data available.


Related in: MedlinePlus

Linear correlation plots ((a) and (b)) between actual and predicted values.
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fig5: Linear correlation plots ((a) and (b)) between actual and predicted values.

Mentions: Three checkpoint formulations were obtained from the RSM, the composition, and predicted responses which are listed in Table 6. To confirm the validity of the calculated optimal parameters and predicted responses, the optimum formulations were prepared according to the above values of the factors and subjected to ex vivo permeation studies. From the results presented in Table 5, the predicted error was below 5%, indicating that the observed responses were very close to the predicted values. Percentage prediction error is helpful in establishing the validity of generated equations and to describe the domain of applicability of RSM model. Linear correlation plots between the actual and the predicted response variables were shown in Figure 5. The linear correlation plots drawn between the predicted and experimental values demonstrated high values of R2 (percent drug diffusion, 0.9919; spreadability, 0.9231) indicating goodness of fit.


Optimization of Metronidazole Emulgel.

Rao M, Sukre G, Aghav S, Kumar M - J Pharm (Cairo) (2013)

Linear correlation plots ((a) and (b)) between actual and predicted values.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4590800&req=5

fig5: Linear correlation plots ((a) and (b)) between actual and predicted values.
Mentions: Three checkpoint formulations were obtained from the RSM, the composition, and predicted responses which are listed in Table 6. To confirm the validity of the calculated optimal parameters and predicted responses, the optimum formulations were prepared according to the above values of the factors and subjected to ex vivo permeation studies. From the results presented in Table 5, the predicted error was below 5%, indicating that the observed responses were very close to the predicted values. Percentage prediction error is helpful in establishing the validity of generated equations and to describe the domain of applicability of RSM model. Linear correlation plots between the actual and the predicted response variables were shown in Figure 5. The linear correlation plots drawn between the predicted and experimental values demonstrated high values of R2 (percent drug diffusion, 0.9919; spreadability, 0.9231) indicating goodness of fit.

Bottom Line: The statistical validity of the polynomials was established, and optimized formulation factors were selected.Validation of the optimization study with 3 confirmatory runs indicated a high degree of prognostic ability of response surface methodology.Emulgel system of MTZ was developed and optimized using 2(3) factorial design and could provide an effective treatment against topical infections.

View Article: PubMed Central - PubMed

Affiliation: Department of Pharmaceutics, AISSMS College of Pharmacy, Kennedy Road, Maharashtra, Pune 411 001, India.

ABSTRACT
The purpose of the present study was to develop and optimize the emulgel system for MTZ (Metronidazole), a poorly water soluble drug. The pseudoternary phase diagrams were developed for various microemulsion formulations composed of Capmul 908 P, Acconon MC8-2, and propylene glycol. The emulgel was optimized using a three-factor, two-level factorial design, the independent variables selected were Capmul 908 P, and surfactant mixture (Acconon MC8-2 and gelling agent), and the dependent variables (responses) were a cumulative amount of drug permeated across the dialysis membrane in 24 h (Y 1) and spreadability (Y 2). Mathematical equations and response surface plots were used to relate the dependent and independent variables. The regression equations were generated for responses Y 1 and Y 2. The statistical validity of the polynomials was established, and optimized formulation factors were selected. Validation of the optimization study with 3 confirmatory runs indicated a high degree of prognostic ability of response surface methodology. Emulgel system of MTZ was developed and optimized using 2(3) factorial design and could provide an effective treatment against topical infections.

No MeSH data available.


Related in: MedlinePlus