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Research Article

Novel surface modified solid lipid nanoparticles as intranasal carriers for ropinirole hydrochloride: application of factorial design approach

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Pages 47-56 | Received 15 Sep 2012, Accepted 20 Nov 2012, Published online: 13 Jan 2013

Figures & data

Table 1. 32-Factorial design parameters, formulation composition and characterization of SLNs.

Table 2.  Summary of results of regression analysis for measured responses.

Table 3. Summary of results of ANOVA for measured responses.

Figure 1.  Response surface plots showing influence of Pluronic F-68 concentration (X1) and stearylamine concentration (X2) on particle size (Y1), zeta potential (Y2) and entrapment efficiency (Y3).

Figure 1.  Response surface plots showing influence of Pluronic F-68 concentration (X1) and stearylamine concentration (X2) on particle size (Y1), zeta potential (Y2) and entrapment efficiency (Y3).

Figure 2.  SEM photomicrograph of drug-loaded SLN formulation.

Figure 2.  SEM photomicrograph of drug-loaded SLN formulation.

Figure 3.  Light photomicrograph of sheep nasal mucosa, untreated control mucosa (a) and drug-loaded SLN formulation treated mucosa (b).

Figure 3.  Light photomicrograph of sheep nasal mucosa, untreated control mucosa (a) and drug-loaded SLN formulation treated mucosa (b).

Figure 4.  DSC thermogram of pure drug (a), lipid–drug physical mixture (b) and lyophilized sample of SLN formulation (c).

Figure 4.  DSC thermogram of pure drug (a), lipid–drug physical mixture (b) and lyophilized sample of SLN formulation (c).

Figure 5.  In vitro (a) and ex vivo (b) drug release profiles of drug-loaded SLN formulation.

Figure 5.  In vitro (a) and ex vivo (b) drug release profiles of drug-loaded SLN formulation.

Table 4. Stability characteristics of lyophilized SLN sample (L5).

Table 5. Evaluation of anti-tremor activity in mice.

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