Results of the multivariate analysis indicated that CP and PVP concentrations generally had significant effects on the mechanical and rheological characteristics as well as the drug release (T50%) of the PEG gels. A statistical interaction was observed between CP and PVP concentrations with respect to gel hardness, compressibility, and adhesiveness (P<0.05). Regression polynomials for the individual dependent variables (compressibility, hardness, adhesiveness, cohesiveness, drug release T50%, or zero-rate viscosity) were calculated and applied to approximate the response surfaces and contour plots. The general model as shown below was generated to fit the various data: y =a0+α1x1+α2x2+α3x1x2+α4x22+α5x1x22+α6x13x22+α7x13x2+α8x1x23+α9x14+α10x24 (1) where y = dependent variable (compressibility, hardness, adhesiveness, cohesiveness, drug release T50% or zero-rate viscosity) a o...α10 = regression coefficients of the independent variable (x1, x2) x1 = concentration of CP x2 = concentration of PVP Mechanical Properties Texture profile analysis (TPA) has been used to characterize the mechanical properties of
pharmaceutical gels and semisolid systems.6,18,19 This simple and rapid technique could provide information related to the gel mechanical
parameters, such as hardness, adhesiveness, compressibility, and cohesiveness. Ideally,
formulations designed for buccal drug delivery should have low hardness and compressibility,
yet high adhesiveness and cohesiveness. Low gel hardness and compressibility will ensure that
minimum work is required for gel removal from the container and administration onto the oral
mucosal epithelium, while high gel adhesiveness and cohesiveness will ensure prolonged adhesion
of the gel onto the oral mucosa and a complete structural recovery of the gel following
application. The mechanical properties of the PEG gels are shown in Table 1.
* Each formulation contained 6 parts PEG 400 & 2 parts of PEG 4000 ** Parts of CP added to the PEG 400 & PEG 4000 gel *** Parts of PVP added to the PEG 400 & PEG 4000 gel The final models for gel compressibility and hardness are as follows: Compressibility = 4.103+60.546x1-16.56x2-279.992x1x2+29.3x22 +151.075x1x22 -39333.333x13x22+25106.667x13x2+226.083x1x23-5412.865x14-14.529x24 (2) (r2 = 0.941) Hardness= 1.727+24.639x1-6.333x2-124.979x1x2+11.738x22 +82.423x1x22 -14388.148x13x22+9179.852x13x2+74.306x1x23-215.205x14-5.938x24 (3) (r2 = 0.977) The corresponding response surfaces and contour plots (Figures 2 and 3) show that at PVP concentrations below 0.6 parts, an increase in CP concentration increased
gel compressibility and hardness. At PVP concentrations above 0.6 parts, an increase in CP
concentration decreased gel compressibility and hardness.
Pearson correlation coefficients indicated that CP concentration was positively correlated
with compressibility and hardness (P<0.01) (Table 2), while PVP concentration was negatively correlated with gel compressibility and hardness
(P<0.01). Additionally, compressibility and hardness were positively correlated with
adhesiveness (P<0.01) but inversely correlated with cohesivenss (P<0.01).
* Correlation is significant at the 0.05 levels ** Correlation is significant at the 0.01 levels Other correlations are not significant Jones et al.6 reported the effect of polymer concentration on product compression characteristics. They
found that the product compressibility and hardness were dependent on the concentrations of
hydroxyethylcellulose, polyvinylpyrrolidone, and polycarbophil in the hydrogel formulations.
In this study, it was apparent that both the concentration and type of polymer affected product
hardness and compressibility. A combination of CP and PVP in an appropriate ratio produced PEG
gel preparations with suitable compressibility and hardness. Adhesive characteristic is an important parameter in the design of an oral gel, since a
desirable gel contact and retention at the mucosal surface will ensure better clinical efficacy.
The final model for gel adhesiveness follows: Adhesiveness= 3.78+55.904x1-14.598x2-139.252x1x2+28.234x22 -185.744x1x22 -20174.815x13x22+19150.519x13x2+301.972x1x23-12336.842x14-14.446x24 (4)(r2 = 0.867) The corresponding response surface and contour plots are shown in Figure 4.
In general, an increase in CP concentration increased the gel's adhesiveness, while the
concentration of PVP did not significantly affect adhesiveness. Pearson correlation coefficients
indicated that CP concentration was positively correlated with adhesiveness (P<0.01),
but the correlation with PVP concentration was insignificant (P>0.05) (Table 2). Adhesiveness in gel texture analysis is the measurement of work needed to overcome the attractive forces between the gel and the analytical probe. The increase in gel adhesiveness caused by an increase in CP (but not PVP) concentration might be attributed to the greater ability of CP to chemically interact with the probe. Cohesiveness is a parameter related to the structural reformation following successive shearing stress during application. The final model for gel cohesiveness was as follows: Cohesiveness= 0.673+0.255x1+0.214x2-10.654x1x2+1.223x22 +8.261x1x22 -391.111x13x22+371.556x13x2+1.722x1x23-191.813x14-1.114x24 (5) (r2 = 0.675) The response surface and contour plot in Figure 5 indicates that an increase in CP concentration caused a reduction in cohesiveness.
This was due to the increase in dispersed solids in the gel, which caused the gel to become
less coherent. In contrast, gel cohesiveness was augmented with an increase in PVP. Pearson
correlation coefficients also indicated that CP concentration was inversely correlated with
cohesiveness (P<0.05) but was positively correlated with PVP concentration
(P<0.01) (Table 2). In this study, cohesiveness was a measure of the ratio of work required during the second
compression cycle to that of the first compression cycle. At a constant CP concentration and an
increase in PVP concentration, more work was needed to compress the gel during the second
compression cycle than the first cycle, indicating that the gel structure became more coherent. Rheological Properties All the gel formulations demonstrated pseudoplastic flow with thixotropy. A typical example
of the flow curve of the gel formulations is shown in 6.
Shear thinning phenomenon, an advantageous property for buccal gel, was observed for all
the gels tested. An increase in shear stress reduced the consistency of the gels. The presence
of the hysteresis loop indicated that a breakdown in structure occurred, and the area within the
loop might be used as an index of the degree of breakdown of the gel. The result of zero-rate
viscosity of the gel is shown in Table 1. The final model for gel zero-rate viscosity follows: Zero-rate viscosity= 3.585+3.326x1+11.585x2+439.486x1x2-20.203x22 -894.111x1x22 -13103.556x13x22+21951.111x13x2+393x1x23+3873.684x14+11.973x24 (6) (r2 = 0.814) The corresponding response surface and contour plot are shown in Figure 7.
An increase in CP concentration increased zero-rate viscosity, whereas an increase in PVP
concentration had inconsistent effects on zero-rate viscosity. Pearson
correlation coefficients indicated that CP concentration was positively correlated with zero-rate
viscosity (P<0.01), but the correlation with PVP concentration was insignificant
(P>0.05) (Table 2). Zero-rate viscosity was also positively correlated with gel adhesiveness (P<0.05)
and T50% (P<0.01) (Table 2), but it was not correlated with other mechanical properties (P>0.05) (gel hardness,
compressibility, and cohesiveness), or PVP concentration (P>0.05). Although previous
research noted the importance of viscosity on compression characteristics of aqueous mucoadhesive
gels,6 this study found no indications that an increase in the viscosity of PEG gels was correlated
with the hardness and compressibility of the product. Drug-Release Study The drug-release cell used in this study was designed to simulate the buccal condition as
closely as possible. The glass slide was designed so that it could be assembled centrally in the
curved wall of the semicylindrical outer cell, below the inlet tube and above the outlet tube,
without dislodging. Since the membrane could be applied evenly and folded over the edges of the
glass slide, fastening of the membrane to the glass slide was unnecessary. Animal mucosa of rat, chicken, hamster, rabbit, dog, monkey, and pig have been used in
other buccal drug absorption or permeation studies.20-24 Freshly slaughtered and conditioned chicken pouch membrane was used in this study because
of its availability and the consistency of the tissue. The T50% values presented in Table 1 were obtained at a flow rate of 4 mL/min. At this flow rate, T50% values ranged
from 2.7 to 8.1 minutes. However, the effects of CP and PVP concentrations on T50% values were statistically significant (P<0.01). The final model for gel
T50% follows: Drug release T50%=2.7-0.17x1+0.56x2+67.7x1x2+1.555x22 +1.433x1x22 +3066.667x13x22 -1480x13x2-83x1x23+1936.842x14+1.511x24 (7) (r2 = 0.890) The response surface and contour plot in Figure 8 show that an increase in both CP and PVP concentrations increased the T50% values.
Pearson correlation coefficients further supported this finding. T50% was positively
correlated with CP concentration (P<0.05) and PVP concentration (P<0.01) and also
with cohesiveness (P<0.05) and zero-rate viscosity (P<0.01) (Table 2). During the drug-release study, gel samples were exposed to a constant flow of simulated saliva solution (4 mL/min). In the presence of an aqueous medium, PEG gel base dissolved gradually, while CP and PVP swelled and formed a viscous barrier to drug release. With time, the polymeric barrier was eroded away and complete drug release was achieved. For all the gel formulations studied, more than 95% of drug was released within 30 minutes. Humans produce about 1 liter of saliva per day. The resting flow of saliva is 0.5 mL/min,
while under maximal stimulation of the parasympathetic system it can increase to more than
7 mL/min.25 To study the effect of saliva flow rate on drug release, the test was repeated with 3
different flow rates (1, 2, and 4 mL/min) of simulated saliva solution using formulation K as
shown in Table 1. The results showed that an increase in flow rate caused a decrease in T50% values, indicating a faster drug release. At flow rates of 1, 2, and 4 mL/min, T50% values were 15.3, 13.5, and 8.1 minutes respectively (P<0.01). 
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