31.10.2012 Views

Chitosan Loaded Mucoadhesive Microspheres of Gliclazide - Journal

Chitosan Loaded Mucoadhesive Microspheres of Gliclazide - Journal

Chitosan Loaded Mucoadhesive Microspheres of Gliclazide - Journal

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Prakash Rao B et al Formulation and Evaluation <strong>of</strong> <strong>Mucoadhesive</strong> Buccal Drug Delivery System <strong>of</strong> Metoprolol Tartrate by Using Central Composite Design<br />

<strong>of</strong> optimized formula found to be 0.673 which indicates the<br />

mechanism <strong>of</strong> release is non Fickian. The factor A with<br />

higher concentration shows the higher effect on value <strong>of</strong> the<br />

release exponent(n) than the factor B. At high level <strong>of</strong> factor A<br />

gave high value <strong>of</strong> n at all level <strong>of</strong> factor B which indicates that<br />

factor A has significant effect.<br />

Kinetics <strong>of</strong> Drug Release<br />

The drug release data was fitted into the different model like<br />

Korsmeyer Peppas , first order, zero order and Higuchi<br />

2<br />

eqation and shown very close and above 0.9 r values (Table 5).<br />

It suggests that the release <strong>of</strong> drug from the formulations may<br />

2<br />

follow any one <strong>of</strong> these models.The r values <strong>of</strong> first order <strong>of</strong><br />

all the formulations shows higher which indicate the drug<br />

release is directly proportional to the amount <strong>of</strong> drug<br />

remaining. But n values range from 0.484 to 0.673 which<br />

indicate non-Fickian diffusion mechanism. According to<br />

Higuchi model, the drug release from matrix is directly<br />

proportional to square root <strong>of</strong> time and explains the Fickian<br />

diffusion. It may be coincident. However, n values <strong>of</strong><br />

Korsmeyer-Peppas strongly indicates that diffusion<br />

mechanism is non-Fickian.<br />

ANOVA, Pure Error, Lack <strong>of</strong> Fit<br />

The result <strong>of</strong> ANOVA demonstrate that the model was<br />

singnificant for all dependent variables (Table 6). Regression<br />

analysis was carried out to determine the regression<br />

coefficients. All the independent variables ( Factors) were<br />

found to be significant for all R1, R2, R3 and R4 response<br />

variables. The quadratic model was found to be significant for<br />

R1. The linear model was found to be significant for R3 and<br />

R4. The 2FI model was found to be significant for R2. So,<br />

above result indicate that both the factors play an important<br />

role in the formulation <strong>of</strong> buccal tablet containing metoprolol<br />

tartrate. The data <strong>of</strong> pure error and lack <strong>of</strong> fit are<br />

demonstrated in (Table 6), which can provide a mean<br />

response and an estimate <strong>of</strong> pure experimental uncertainty.<br />

The residuals are the difference between observed and<br />

predicted value.<br />

Fig 11. DTA thermograms <strong>of</strong> (A) Metoprolol tartrate<br />

(B) HPC (C) Carbopol (D) Drug + HPC (E) Drug + Carbopol.<br />

2<br />

Table 5.Correlation coefficient (R ) <strong>of</strong> different models, drug release exponents(n), zero order release rate<br />

constants(K 0 ), First order release rate constant(K), Korsmeyer Peppas release constant(K KP)<br />

Kinetic pr<strong>of</strong>ile <strong>of</strong> Korsmeyer Peppas Zero order First order Higuchi<br />

formulation n K KP<br />

2<br />

R K 0<br />

2<br />

R K<br />

2<br />

R<br />

2<br />

R<br />

F-1 0.554 2.0792 0.969 0.123 0.989 -0.0021 0.989 0.980<br />

F-2 0.563 1.963 0.985 0.119 0.985 -0.00207 0.998 0.989<br />

F-3 0.488 3.186 0.995 0.112 0.979 -0.00204 0.997 0.996<br />

F-4 0.580 1.760 0.993 0.117 0.981 -0.00201 0.999 0.992<br />

F-5 0.543 2.630 0.964 0.158 0.995 -0.00386 0.923 0.953<br />

F-6 0.485 3.144 0.992 0.110 0.987 -0.00199 0.990 0.990<br />

F-7 0.559 2.0393 0.995 0.118 0.987 -0.00209 0.994 0.991<br />

F-8 0.673 0.888 0.994 0.112 0.996 -0.00176 0.991 0.980<br />

F-9 0.556 1.879 0.9973 0.118 0.984 -0.00203 0.996 0.984<br />

F-10 0.661 1.083 0.998 0.122 0.987 -0.00206 0.996 0.992<br />

F-11 0.506 3.123 0.960 0.150 0.997 -0.00354 0.942 0.959<br />

F-12 0.664 1.038 0.981 0.129 0.994 -0.00221 0.984 0.972<br />

F-13 0.576 1.763 0.973 0.119 0.984 -0.00203 0.996 0.984<br />

153<br />

RJPS, Jul - Sep, 2011/ Vol 1/ Issue 2

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!