Calibration Test Lab Report

RESULTS & DISCUSSIONS
PREFORMULATION:
S.NO API CHARACTERISATION RESULTS
1 Physical Appearance Mycophenolate mofetil white to off-white crystalline powder
2 Melting point 93-94ºC
3 solubility Freely soluble in acetone, soluble in methanol, and sparingly soluble in ethanol.

Table 3: Characterization of API
Calibration Curve of Mycophenolate mofetil:
Calibration Curve of Mycophenolate mofetil in pH 7.4 PBS
Solvent pH 7.4 phosphate buffer Saline (PBS)
Wave length 253 nm
Unit for concentration mcg/mL
Table 4: parameters for Calibration curve

Table 5: Calibration data of Mycophenolate mofetil in pH 7.4 PBS
S.NO Concentration (mcg/mL) Absorbance
1 0 0
2 2 0.185
3 4 0.345
4 6 0.526
5 8 0.722
6 10 0.907
Calibration Curve of Mycophenolate mofetil:

The Mycophenolate mofetil containing nanoparticle was constantly agitated during the dissolution test, collisions among MNP could first disintegrate the structure of the polymer layer. The subsequent fluidic shear devastated the particulate surfaces and caused the release of a drug. As indicated in (Table 7) the cumulative percentage of Mycophenolate mofetil released in the initial 2-4 hr was minor. This suggested that the current formulation could prevent the drugs from the initial burst release. As revealed in (figure 13), the rate of a drug released from MNP was pretty smooth. This suggested that the spatial distribution of the drugs confined could be quite

The regression coefficient value of zero order kinetic plot was found to be 0.974 and the slope was found to be 3.862 (figure 14). Figure 14: Zero order plot for Optimized formula
First order kinetics plot: Here the graph is plotted between log cumulative percent drug remaining Vs time. Regression coefficient is calculated and interpreted. The regression coefficient value of this plot was found to be 0.955 and the slope was found to be 0.046 (figure15). Figure 15: First order plot for Optimized formula
Higuchi model: In this model, graph is plotted between cumulative percent drug released Vs square root of time. Regression coefficient and slope values are calculated and interpreted. The regression coefficient value of this plot was found to be 0.972 and the slope was found to be 20.39 (figure 16). Figure 16: Higuchi plot for Optimized formula
Koresmeyer peppas model: In this model, graph is plotted between log cumulative percent drug released Vs log time. Regression coefficient and slope values are calculated and interpreted. The regression coefficient value of this plot was found to be 0.984 and the slope was found to be 0.699 (figure