# Factorial Design Studies and Biopharmaceutical Evaluation of Simvastatin Loaded Solid Lipid Nanoparticles for Improving the Oral Bioavailability

Authors: Kovoru Krishnam Raju; Beeravelli Sudhakar; Kolapalli Venkata Ramana Murthy
Journal: ISRN Nanotechnology
 (2014)

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## Abstract

Statins are HMG-CoA reductase inhibitors, which lower the cholesterol level through reversible and competitive inhibition; they are involved in the biosynthesis of cholesterol and other sterols. Simvastatin exhibits poor oral bioavailability (<5%) and undergoes extensive microsomal metabolism by CYP enzymes. CYP3A4 is the major metabolizing enzyme that metabolizes lactone form of simvastatin and significantly lowers intestinal uptake. The hydrophobic properties of simvastatin prevent complete dissolution of the drug in the intestinal fluid which also contributes to its lower bioavailability. SLNs are alternative carrier system to polymeric nanoparticles. SLNs are in submicron size range (1–1000 nm). To overcome the hepatic first pass metabolism and to enhance the bioavailability, intestinal lymphatic transport of drugs can be exploited. In the present study, attempt has been made to prepare solid lipid nanoparticles of simvastatin to improve the bioavailability. SLNs of simvastatin were prepared with Trimyristin by hot homogenization followed by ultrasonication method. The SLNs were characterized for various physicochemical properties and analytical techniques like PXRD, DSC to study thermal nature and morphology of formulation and excipients. Promising results of the study indicated the applicability of simvastatin solid lipid nanoparticles as potential tools for improvement of bioavailability of poorly soluble drugs.


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## Body

## 1. Introduction

Simvastatin is an antihyperlipidemic drug with plasma half-life of 3 hrs and poor oral bioavailability (<5%) due to the extensive first pass metabolism. Possible methods to avoid first pass metabolism include transdermal, buccal, rectal, and parenteral routes of administration. Oral route is the most commonly used and preferred route for the delivery of drugs, although several factors like pH of GIT, residence time, and solubility can affect drug absorption or availability by this route. Lymphatic delivery is an alternative choice to avoid first pass metabolism in oral drug delivery. Enhanced lymphatic transport of drugs avoids the hepatic first pass metabolism and improves bioavailability, because intestinal lymph vessels drain directly into thoracic duct and further into the venous blood, thus bypassing the portal circulation. The main function of the lymphatic system is to facilitate absorption of long chain fatty acids via chylomicron formation. Two different lipid-based approaches are known to enhance the lymphatic transport, which includes construction of a highly lipophilic prodrug and incorporation of drug in a lipid carrier. Lipid-based drug delivery systems have been reported to enhance the bioavailability of lipophilic drugs such as halofantrine and ontazolast by lymphatic transport of biosynthesized chylomicrons associated with the drugs [1, 2].Solid lipid nanoparticles are alternative carrier system to polymeric nanoparticles. Solid lipid nanoparticles are in submicron size range (1–1000 nm). Solid lipid nanoparticles are physiologically acceptable, that is, method of SLN preparation avoids the usage of toxicologically less acceptable excipients. SLN can be administered through oral, parenteral, topical, and pulmonary routes. An additional advantage of SLN is lack of coalescences which increases physical stability. To overcome the hepatic first pass metabolism and to enhance the bioavailability, intestinal lymphatic transport of drugs can be exploited. Highly lipophilic compounds such as long chain triglycerides reach systemic circulation via the lymphatics. Majority of fatty acids with carbon chain length of 14 and above were found to be recovered in thoracic lymph. Size is one of the most important determinants of lymphatic uptake. Optimum size for lymphatic uptake is between 10 and 100 nm Swartz 2001 [3]. However, uptake is more selective and slower as particle size increases. Polymeric nano and microparticles uptake by lymphatic system through M cell of Peyer’s patches of intestine was evidenced [4]. Nanoparticles coated with hydrophobic polymers tend to be easily captured by lymphatic cells in the body [5]. Lymphatic transport and bioavailability of halofantrine and ontazolast were enhanced after coadministration with lipidic vehicles [1, 2]. Recently Cavalli et al., 2000, reported that intraduodenally administered tobramycin loaded SLN showed sustained release and lymphatic targeting [6]. SLNs were found to improve the bioavailability of drug, for example, cyclosporin A and piribedil, Olbrich et al., 2002, and Demirel et al., 2001 [7, 8]. Zhang et al. 2010, reported that the oral bioavailability of SV after its incorporation into the lipid nanoparticles was improved by 3.37-fold for SLNs I and 2.55-fold for SLNs II compared with that from free SV in rats, and that of the SVA was significantly enhanced as well [9]. Comparative study of simvastatin loaded NLC verses SLN reported that NLC shows values 2.29 folds increased bioavailability compared to SLN [10].


## 2. Materials and Methods

Simvastatin was purchased from Dr. Reddy’s Laboratories Limited, Hyderabad. Trimyristin (Dyanosan114) was obtained from Sasol, Germany. Soya lecithin was purchased from Sigma Aldrich, India. Poloxamer was purchased from Hi-Media, India. Acetonitrile and methanol were purchased from Rankem, India. Chloroform was purchased from Merck India.


## 3. Solid Lipid Nanoparticles Prepared by Homogenization and Followed by Ultrasonication

### 3.1. Method

Simvastatin loaded SLNs were prepared with triglyceride such as Trimyristin by hot homogenization followed by ultrasonication method. Simvastatin, triglyceride, and soya lecithin were heated above melting temperature of lipid and mixed rapidly with glass rod in hot melted condition. Poloxamer 188 dissolved in water and heated to equal temperature was added to the melted lipid phase and homogenization was carried out. Homogenization was carried out for three minutes in order to get coarse emulsion. Finally, the obtained preemulsion was subjected to ultrasonication for 20 minutes at temperature above the melting point of the lipid. During formulation development process, the sonication time was studied at various time intervals like 5, 10, 15, 20, and 25 minutes, which was then finally optimized [11, 12].


### 3.2. Optimization of Formulation Variables (Surfactant and Coemulsifier)

To study the effect of variables on characterization performance of SLNs, different batches were prepared using 32 factorial designs. Amount of soya lecithin (X
1) and Poloxamer 188 (X
2) were selected as two independent variables which were varied at three levels, low level (−1), medium level (0), and high level (+1). Amounts of drug simvastatin (40 mg) and triglyceride (400 mg) concentrations were kept constant. Particle size (Y
1) and zeta potential (Y
2) were selected as dependent variables (Figures 1 and 2). Values of variables and batch codes are shown in Table 2. Design-Expert DX 8 software was used for the generation and evaluation of statistical experimental design [12].Figure 1
Zeta potential and particle size distribution of optimized SLN.Figure 2
Surface response graphs and counter plots for particle size and zeta potential.


### 3.3. Saturation Solubility

Excess quantity of simvastatin was added to various buffers, namely, pH 1.2 (acid), pH 4.5 (acetate), and phosphate buffers pH 6.8 and pH 8 and continuously shaken for 24 hours with the help of mechanical stirrer. One mL of sample was taken from each buffer and centrifuged for 15 min at 15,000 rpm. 20μL of the supernatant was injected to HPLC to determine the saturation solubility. Results are shown in Table 1.Table 1
Saturation solubility.
pH
mg/mL
1.2
0.00212
±
0.27
4.5
0.000115 ± 0.22
6.8
0.005932
±
0.6
8
0.000732
±
0.31Table 2
Characterization of solid lipid nanoparticles.
Batch code
Poloxamer (mg)
Soya lecithin (mg)
Drug content %
Size distribution (nm)
Zeta potential (mV)
Polydispersibility
F1
100
200
99.12
±
0.12
125.6
±
1.25
-
45
±
4.14
0.227
±
0.60
F2
100
150
96.02
±
0.11
110.8
±
1.83
-
22
±
0.65
0.175
±
0.22
F3
100
100
101.7
±
0.2
157.8
±
0.07
-
25.1
±
1.2
0.254
±
0.13
F4
150
200
99.2
±
0.13
102.7
±
1.75
-
35.3
±
0.6
0.287
±
0.24
F5
150
150
100
±
0.22
101.7
±
1.30
-
31.3
±
0.8
0.201
±
0.14
F6
150
100
98.22
±
0.05
358.2
±
2.05
-
38
±
1.0
0.445
±
0.52
F7
200
200
100.2
±
0.11
99.7
±
0.9
-
31.6
±
1.2
0.242
±
0.02
F8
200
150
99.13
±
0.02
108.8
±
0.20
-
36.7
±
0.8
0.21
±
0.22
F9
200
100
101.02
±
0.08
104
±
0.08
-
37.7
±
1.8
0.212
±
0.16
Note. *Results are expressed as mean ± standard deviation (n
=
3).


### 3.4. Drug Content

Simvastatin SLN formulation was diluted 10 times with chloroform: methanol (1 : 1). Final dilution was made with acetonitrile and simvastatin content was determined by HPLC [9].


## 3.1. Method

Simvastatin loaded SLNs were prepared with triglyceride such as Trimyristin by hot homogenization followed by ultrasonication method. Simvastatin, triglyceride, and soya lecithin were heated above melting temperature of lipid and mixed rapidly with glass rod in hot melted condition. Poloxamer 188 dissolved in water and heated to equal temperature was added to the melted lipid phase and homogenization was carried out. Homogenization was carried out for three minutes in order to get coarse emulsion. Finally, the obtained preemulsion was subjected to ultrasonication for 20 minutes at temperature above the melting point of the lipid. During formulation development process, the sonication time was studied at various time intervals like 5, 10, 15, 20, and 25 minutes, which was then finally optimized [11, 12].


## 3.2. Optimization of Formulation Variables (Surfactant and Coemulsifier)

To study the effect of variables on characterization performance of SLNs, different batches were prepared using 32 factorial designs. Amount of soya lecithin (X
1) and Poloxamer 188 (X
2) were selected as two independent variables which were varied at three levels, low level (−1), medium level (0), and high level (+1). Amounts of drug simvastatin (40 mg) and triglyceride (400 mg) concentrations were kept constant. Particle size (Y
1) and zeta potential (Y
2) were selected as dependent variables (Figures 1 and 2). Values of variables and batch codes are shown in Table 2. Design-Expert DX 8 software was used for the generation and evaluation of statistical experimental design [12].Figure 1
Zeta potential and particle size distribution of optimized SLN.Figure 2
Surface response graphs and counter plots for particle size and zeta potential.


## 3.3. Saturation Solubility

Excess quantity of simvastatin was added to various buffers, namely, pH 1.2 (acid), pH 4.5 (acetate), and phosphate buffers pH 6.8 and pH 8 and continuously shaken for 24 hours with the help of mechanical stirrer. One mL of sample was taken from each buffer and centrifuged for 15 min at 15,000 rpm. 20μL of the supernatant was injected to HPLC to determine the saturation solubility. Results are shown in Table 1.Table 1
Saturation solubility.
pH
mg/mL
1.2
0.00212
±
0.27
4.5
0.000115 ± 0.22
6.8
0.005932
±
0.6
8
0.000732
±
0.31Table 2
Characterization of solid lipid nanoparticles.
Batch code
Poloxamer (mg)
Soya lecithin (mg)
Drug content %
Size distribution (nm)
Zeta potential (mV)
Polydispersibility
F1
100
200
99.12
±
0.12
125.6
±
1.25
-
45
±
4.14
0.227
±
0.60
F2
100
150
96.02
±
0.11
110.8
±
1.83
-
22
±
0.65
0.175
±
0.22
F3
100
100
101.7
±
0.2
157.8
±
0.07
-
25.1
±
1.2
0.254
±
0.13
F4
150
200
99.2
±
0.13
102.7
±
1.75
-
35.3
±
0.6
0.287
±
0.24
F5
150
150
100
±
0.22
101.7
±
1.30
-
31.3
±
0.8
0.201
±
0.14
F6
150
100
98.22
±
0.05
358.2
±
2.05
-
38
±
1.0
0.445
±
0.52
F7
200
200
100.2
±
0.11
99.7
±
0.9
-
31.6
±
1.2
0.242
±
0.02
F8
200
150
99.13
±
0.02
108.8
±
0.20
-
36.7
±
0.8
0.21
±
0.22
F9
200
100
101.02
±
0.08
104
±
0.08
-
37.7
±
1.8
0.212
±
0.16
Note. *Results are expressed as mean ± standard deviation (n
=
3).


## 3.4. Drug Content

Simvastatin SLN formulation was diluted 10 times with chloroform: methanol (1 : 1). Final dilution was made with acetonitrile and simvastatin content was determined by HPLC [9].


## 4. Measurement of Particle Size, Polydispersity Index (PDI), and Zeta Potential (ZP) of SLN

The particle size distribution, PDI, and ZP of simvastatin loaded SLNs were measured using a Malvern Zetasizer (Nano ZS90, UK). About 100μL of the prepared SLN dispersion was diluted to 5 mL with double distilled water and analyzed with Zetasizer [13].


### 4.1. Entrapment Efficiency

The percentage of drug entrapped in the lipid is determined by measuring the concentration of the drug in the aqueous phase by ultrafiltration method. The Centrisart devices are used in ultrafiltration method. Centrisant consist of filter membrane (Molecular wt cut-off 20,000 daltons) at the base of sample recovery chamber. About 1 mL of undiluted sample is placed in the outer chamber on the top of the sample holder. The unit is centrifuged at 3,500 rpm for 15–20 min. The solid lipid nanoparticles along with the encapsulated drug remain in the outer chamber and the aqueous phase is moved into the sample recovery chamber through membrane. The amount of drug in the aqueous phase is estimated by HPLC [13, 14].


## 4.1. Entrapment Efficiency

The percentage of drug entrapped in the lipid is determined by measuring the concentration of the drug in the aqueous phase by ultrafiltration method. The Centrisart devices are used in ultrafiltration method. Centrisant consist of filter membrane (Molecular wt cut-off 20,000 daltons) at the base of sample recovery chamber. About 1 mL of undiluted sample is placed in the outer chamber on the top of the sample holder. The unit is centrifuged at 3,500 rpm for 15–20 min. The solid lipid nanoparticles along with the encapsulated drug remain in the outer chamber and the aqueous phase is moved into the sample recovery chamber through membrane. The amount of drug in the aqueous phase is estimated by HPLC [13, 14].


## 5. Visualization by Transmission Electron Microscopy

A drop of vesicle dispersion was applied on a carbon film-covered copper grid. Excess dispersion was blotted from the grid with filter paper to form a thin-film specimen. The sample was then stained with 2% uranyl acetate, air-dried, and examined under transmission electron microscope (Hitachi, H-7500) at a magnification of 50KX [13].


### 5.1. Lyophilization of the Optimized Formulation

Aqueous dispersion of SLN may not be stable physically for longer period of time, that is, drug release properties may be altered. To enable use of such formulation, it is necessary to convert such system into dry product by lyophilization. To prevent the particle aggregation, cryoprotectants were added before lyophilization. 5 mL of SLN formulation was taken along with 30% of trehalose solution (5 mL) in round bottom flask and carried out the freeze dried at −45°C. with the help of lyophilizer (Virtis Inc., New York) [14].


### 5.2. Differential Scanning Calorimeter

DSC analysis was carried out on Pyrus DSC Perklin Elmer. Heating rate of 10°C/min was employed in the range of 20–240°C. Analysis was performed under a nitrogen purge (mL/min). Standard aluminium crucibles (40μL) were used. About 10 mg sample was taken for analysis and an empty pan is used as reference [14].Preparation of mixtures of SLN component for DSC analysis:(1)
simvastatin,
(2)
physical mixtures (PM) of simvastatin and triglyceride (Trimyristin),
(3)
the physical mixture (1 : 10) of simvastatin and triglyceride was prepared. Physical mixture, tyophilized SLN, simvastatin and triglyceride was subjected the same thermal cycle as mentioned above.


### 5.3. Powder X-Ray Diffractometry (PXRD)

Powder X-ray diffractometer (Siemens) was used for diffraction studies. PXRD studies were performed on the sample by exposing them to CuKα radiation (50 kv, 34 mA) and scanned from 3 to 45°, 2θ at a scan step of 0.020 and step time of 30/min. Samples were used for PXRD analysis were the same as those of DSC analysis [15].


### 5.4. HPLC Specification

The chromatographic system consisted of Waters 2496 LC 10 AT solvent delivery pump equipped with a 20μL loop and Rheodyne sample injector and SPD 10 AVP Dual wavelength UV-visible detector. The column used for analysis was a C-18 Symmetry (
25
cm
×
4
.
6
mm
ID
). The mobile phase consisted of an aqueous buffer and an organic modifier (Buffer: Acetonitrile, 40 : 60). The aqueous buffer was sodium dihydrogen phosphate (0.005 mM) and the phosphoric acid (0.01 M) and the organic modifier was acetonitrile. The column temperature was maintained at 30°C and a flow rate of 1 mL/min was used. Analysis was carried out using ultraviolet detector at wavelength of 238 nm. Sensitivity selected was 0.001 a.u.f.s. The data was recorded and calculated using Winchrom software [16].


### 5.5.In VitroDrug Release Studies by Franz Diffusion Cell

Thein vitro drug release of simvastatin through dialysis membrane from SIMVA-SLN dispersion and dispersion of pure simvastatin was evaluated using modified Franz diffusion cell (Figure 6). Dialysis membrane having pore size 2.4 nm molecular weight cut-off 10,000 was used. Membrane was soaked in double distilled water for 12 hours before mounting in Franz diffusion cell. For comparative release studies simvastatin loaded SLN and pure simvastatin dispersion equivalent to 4 mg was applied to the donor compartment. And the receptor compartment was filled with the dialysis media (12 mL) 6.8 pH phosphate buffer. At fixed time intervals of 0.5, 1, 2, 4, 6, 8, 12, and 36 hrs, samples (100 μL) were withdrawn from receiver compartment through side tube and replaced with suitable equivalent medium to maintain constant diffusion volume. Samples were analyzed by HPLC method to determine the simvastatin content [17].


## 5.1. Lyophilization of the Optimized Formulation

Aqueous dispersion of SLN may not be stable physically for longer period of time, that is, drug release properties may be altered. To enable use of such formulation, it is necessary to convert such system into dry product by lyophilization. To prevent the particle aggregation, cryoprotectants were added before lyophilization. 5 mL of SLN formulation was taken along with 30% of trehalose solution (5 mL) in round bottom flask and carried out the freeze dried at −45°C. with the help of lyophilizer (Virtis Inc., New York) [14].


## 5.2. Differential Scanning Calorimeter

DSC analysis was carried out on Pyrus DSC Perklin Elmer. Heating rate of 10°C/min was employed in the range of 20–240°C. Analysis was performed under a nitrogen purge (mL/min). Standard aluminium crucibles (40μL) were used. About 10 mg sample was taken for analysis and an empty pan is used as reference [14].Preparation of mixtures of SLN component for DSC analysis:(1)
simvastatin,
(2)
physical mixtures (PM) of simvastatin and triglyceride (Trimyristin),
(3)
the physical mixture (1 : 10) of simvastatin and triglyceride was prepared. Physical mixture, tyophilized SLN, simvastatin and triglyceride was subjected the same thermal cycle as mentioned above.


## 5.3. Powder X-Ray Diffractometry (PXRD)

Powder X-ray diffractometer (Siemens) was used for diffraction studies. PXRD studies were performed on the sample by exposing them to CuKα radiation (50 kv, 34 mA) and scanned from 3 to 45°, 2θ at a scan step of 0.020 and step time of 30/min. Samples were used for PXRD analysis were the same as those of DSC analysis [15].


## 5.4. HPLC Specification

The chromatographic system consisted of Waters 2496 LC 10 AT solvent delivery pump equipped with a 20μL loop and Rheodyne sample injector and SPD 10 AVP Dual wavelength UV-visible detector. The column used for analysis was a C-18 Symmetry (
25
cm
×
4
.
6
mm
ID
). The mobile phase consisted of an aqueous buffer and an organic modifier (Buffer: Acetonitrile, 40 : 60). The aqueous buffer was sodium dihydrogen phosphate (0.005 mM) and the phosphoric acid (0.01 M) and the organic modifier was acetonitrile. The column temperature was maintained at 30°C and a flow rate of 1 mL/min was used. Analysis was carried out using ultraviolet detector at wavelength of 238 nm. Sensitivity selected was 0.001 a.u.f.s. The data was recorded and calculated using Winchrom software [16].


## 5.5.In VitroDrug Release Studies by Franz Diffusion Cell

Thein vitro drug release of simvastatin through dialysis membrane from SIMVA-SLN dispersion and dispersion of pure simvastatin was evaluated using modified Franz diffusion cell (Figure 6). Dialysis membrane having pore size 2.4 nm molecular weight cut-off 10,000 was used. Membrane was soaked in double distilled water for 12 hours before mounting in Franz diffusion cell. For comparative release studies simvastatin loaded SLN and pure simvastatin dispersion equivalent to 4 mg was applied to the donor compartment. And the receptor compartment was filled with the dialysis media (12 mL) 6.8 pH phosphate buffer. At fixed time intervals of 0.5, 1, 2, 4, 6, 8, 12, and 36 hrs, samples (100 μL) were withdrawn from receiver compartment through side tube and replaced with suitable equivalent medium to maintain constant diffusion volume. Samples were analyzed by HPLC method to determine the simvastatin content [17].


## 6. Results

The saturation solubility studies indicated that pH 6.8 phosphate buffer shows maximum solubility comparatively to other media. Average saturation solubility of simvastatin was found to be 0.005932 mg/mL. Hence, pH 6.8 phosphate buffer was selected as vehicle to make SLN dispersions. Results are shown in Table1.The percentage drug content of the SLN formulations varied between96.02
±
0.11% and 101.7
±
0.2%. Hence, all the formulations were within the standard limits. This indicates uniform distribution of drug in each SLN formulation. The mean particle size was in the range of 99.7
±
0.9 nm to 358.2
±
2.05 nm, and it was strongly affected by the selected variables. The polydispersity index (PDI) was in the range of 0.175
±
0.22 to 0.445
±
0.52 which indicated a narrow particle size distribution. Zeta potential values of prepared SLNs ranged from -
22.9
±
0.6 to -
45.1
±
4.14 mV. For any liquid dosage form, surface charge is essential for its stability. SLNs were reported to have greater stability when compared to other colloidal dosage forms. Zeta potential value >±30 mV is essential for effective stability and to inhibit aggregation. As the Poloxamer 188 concentration increased particle size was decreased and zeta potential of SLN decreased with increased concentration of Poloxamer 188 [18]. These results are shown in Table 2.


### 6.1. Effect of Sonication Time

Average particle size of SLN dispersions after 5, 10, 15, 20, and 25 minutes was shown in Table3. As the sonication time increased, average particle size was decreased up to 20 minutes and reduction of particle size was not observed after 20 minutes.Table 3
Effect of sonication time.
Sonication time
Particle size (nm)
Polydispersity index
5 min
178.4
±
0.65
0.381
±
0.02
10 min
133
±
1.6
0.316
±
0.09
15 min
102
±
1.3
0.296
±
0.03
20 min
99.7
±
0.9
0.242
±
0.02
25 min
98
±
1.0
0.222
±
0.31
Note. *Results are expressed as mean ± standard deviation (n
=
3).Depending on size, F7 batch was found to have optimum particle size distribution. Swartz, 2001 [3], reported that optimum particle size of SLN for lymph targeting was 10–100 nm. Hence, the F7 batch was optimized for further studies like entrapment efficiency and release studies. Entrapment efficiency of SLNs was determined after separating entrapped and unentrapped drug by ultrafiltration. The F7 batch was found to have 95.20
±
1.02% entrapment efficiency, due to its carbon long chain and phase transition temperature.Table4 suggests the suitable model for further analysis. As per the P values of particle size, linear model is best fit for the given data because it has the P value less than interactive and quadratic models. Further, the R-square value of this linear equation is 0.2764 which indicates that 27.64% of variation is obtained for the dependent variable due to the independent variable. For the zeta potential, the interactive procedure is best suited when compared with linear and quadratic models since the P value of the interactive model is smaller than the remaining two models. The R
2 value of 0.5811 explains that the variation obtained due to this independent variable is 58.115%.Table 4
Summary of model statistics for dependent variables.
Model
Sum of squares
Degrees of freedom
Mean square
R
2
AdjustedR
2
PredictedR
2
PRESS
s.d.
F value
P value Prob > F
Remarks
Response 1 (particle size (nm))
Linear
15423.02
2
7711.51
0.2764
0.0352
−0.5608
87088.22
82.03
1.15
0.3789
Suggested
Interactive
183.60
1
183.60
0.2797
−0.1525
−1.6074
145485.1
89.66
0.02
0.8858
Quadratic
14921.87
2
7460.93
0.5471
−0.2076
−4.0030
279153.1
91.78
0.89
0.4985
Response 2 (zeta potential (mV))
Linear
48.6416667
2
24.32083333
0.1291044
—
−1.39076
900.7465
7.39505
0.44473
0.6605
Suggested
Interactive
170.3025
1
170.3025
0.5811203
0.329792
−0.68016
633.0196
5.61815
5.395533
0.0678
Quadratic
59.0561111
2
29.52805556
0.7378666
0.300978
−2.19533
1203.879
5.737652
0.896946
0.4951Regression equations:(1)
Particle
Size
=
+
140.94
-
13.75
*
A
-
48.80
*
B
Zeta
Potential
=
-
33.74
-
2.15
*
A
-
1.87
*
B
+
6.53
*
A
*
B
.


## 6.1. Effect of Sonication Time

Average particle size of SLN dispersions after 5, 10, 15, 20, and 25 minutes was shown in Table3. As the sonication time increased, average particle size was decreased up to 20 minutes and reduction of particle size was not observed after 20 minutes.Table 3
Effect of sonication time.
Sonication time
Particle size (nm)
Polydispersity index
5 min
178.4
±
0.65
0.381
±
0.02
10 min
133
±
1.6
0.316
±
0.09
15 min
102
±
1.3
0.296
±
0.03
20 min
99.7
±
0.9
0.242
±
0.02
25 min
98
±
1.0
0.222
±
0.31
Note. *Results are expressed as mean ± standard deviation (n
=
3).Depending on size, F7 batch was found to have optimum particle size distribution. Swartz, 2001 [3], reported that optimum particle size of SLN for lymph targeting was 10–100 nm. Hence, the F7 batch was optimized for further studies like entrapment efficiency and release studies. Entrapment efficiency of SLNs was determined after separating entrapped and unentrapped drug by ultrafiltration. The F7 batch was found to have 95.20
±
1.02% entrapment efficiency, due to its carbon long chain and phase transition temperature.Table4 suggests the suitable model for further analysis. As per the P values of particle size, linear model is best fit for the given data because it has the P value less than interactive and quadratic models. Further, the R-square value of this linear equation is 0.2764 which indicates that 27.64% of variation is obtained for the dependent variable due to the independent variable. For the zeta potential, the interactive procedure is best suited when compared with linear and quadratic models since the P value of the interactive model is smaller than the remaining two models. The R
2 value of 0.5811 explains that the variation obtained due to this independent variable is 58.115%.Table 4
Summary of model statistics for dependent variables.
Model
Sum of squares
Degrees of freedom
Mean square
R
2
AdjustedR
2
PredictedR
2
PRESS
s.d.
F value
P value Prob > F
Remarks
Response 1 (particle size (nm))
Linear
15423.02
2
7711.51
0.2764
0.0352
−0.5608
87088.22
82.03
1.15
0.3789
Suggested
Interactive
183.60
1
183.60
0.2797
−0.1525
−1.6074
145485.1
89.66
0.02
0.8858
Quadratic
14921.87
2
7460.93
0.5471
−0.2076
−4.0030
279153.1
91.78
0.89
0.4985
Response 2 (zeta potential (mV))
Linear
48.6416667
2
24.32083333
0.1291044
—
−1.39076
900.7465
7.39505
0.44473
0.6605
Suggested
Interactive
170.3025
1
170.3025
0.5811203
0.329792
−0.68016
633.0196
5.61815
5.395533
0.0678
Quadratic
59.0561111
2
29.52805556
0.7378666
0.300978
−2.19533
1203.879
5.737652
0.896946
0.4951Regression equations:(1)
Particle
Size
=
+
140.94
-
13.75
*
A
-
48.80
*
B
Zeta
Potential
=
-
33.74
-
2.15
*
A
-
1.87
*
B
+
6.53
*
A
*
B
.


## 7. DSC Studies

The thermograms of lyophilized simvastatin SLN of Trimyristin did not show the sharp melting peak for the simvastatin around 240°C (Figure3). This shows that simvastatin was not in crystalline state. However, this was confirmed by absence of melting peak of simvastatin in the physical mixture (1 : 10). This suggests that simvastatin was not in crystalline state but it was in amorphous state. Similar results were reported by [19] stating that rapid quenching of the microemulsion does not allow the drug to crystallize. [20], put forward the DSC analysis of the Camptothecin SLN preparation prepared by high pressure homogenization, which showed that Camptothecin was in amorphous state. In our method, lipids and simvastatin were melted and mixed thoroughly above the melting temperature of lipid and subsequent addition of hot surfactant phase allows homogenous dispersion of drug in lipid. Furthermore, method of preparation (homogenization followed by sonication) and presence of surfactant could not allow the drug to crystallize. Degree of crystallinity of lyophilized SLN was calculated by comparing the enthalpy of SLN with enthalpy of bulk lipid according to [21] (Table 5). Enthalpy of bulk lipid is being taken as 100%. Enthalpy of SLN was calculated on the basis of total weight taken. Melting points of Trimyristin in SLN form were depressed when compared to melting points of corresponding bulk triglyceride. These suggest that triglyceride in SLNs might be in β1 form [18, 22]. Freitas and Müller, 1998, reported that Compritol in SLN was β1 or β1 form. This melting point depression might be due to small particle size (nanometer range), their high specific surface area, and the presence of surfactant. This was confirmed by physical mixture where such type of depression was not found. This melting point effect can be attributed to the Kelvin effect.Table 5
Melting peaks, enthalpies, and crystallinity of bulk lipid and lyophilized SLN.
Parameter
Bulk
PM
Lyophilized SLN
Melting peak (°C)
60.36
59.45
55
Enthalpy (j/g)
128.3
81.45
50.7
Crystallinity (%)
100Figure 3
Overlaid thermograms of simvastatin loaded SLN.


### 7.1. Powder X-Ray Diffractometry (PXRD)

PXRD patterns of simvastatin exhibit sharp peaks at 2θ scattered angles indicating crystalline nature of simvastatin. Results were shown in Figure 4. Reduced intensity was observed for the characteristic peaks in the simvastatin lyophilized SLN of Trimyristin, when compared with pure simvastatin and physical mixture. The reduced intensity suggests greater decrease in crystallinity of simvastatin in the prepared lyophilized SLN.Figure 4
Overlaid PXRD graph of simvastatin SLN.


## 7.1. Powder X-Ray Diffractometry (PXRD)

PXRD patterns of simvastatin exhibit sharp peaks at 2θ scattered angles indicating crystalline nature of simvastatin. Results were shown in Figure 4. Reduced intensity was observed for the characteristic peaks in the simvastatin lyophilized SLN of Trimyristin, when compared with pure simvastatin and physical mixture. The reduced intensity suggests greater decrease in crystallinity of simvastatin in the prepared lyophilized SLN.Figure 4
Overlaid PXRD graph of simvastatin SLN.


## 8.In VitroDrug Release Studies

Depending on particle size distribution, zeta potential, and entrapment efficiency SLN-7 batch formulation was optimized for drug release studies and compared with pure simvastatin dispersion. The cumulative % release of simvastatin in 36 hrs from SIMVA-SLN dispersion was significantly retarded (37.08
±
0.22%) compared to that from dispersion of pure drug (98.08
±
1.2%). Thus, very slow release was observed. These suggest that simvastatin was homogenously dispersed in the lipid matrix. The drug release kinetics indicate that drug release followed zero order and non-Fickian diffusion manner and absence of any burst release, indicates complete entrapment of drug in the lipid matrix without any adsorption of simvastatin on the surface of SLNs (Figure 5).Figure 5
Surface morphology of SLN by TEM studies.Figure 6
ComparativeIn-vitro drug release studies.


## 9.  Conclusion

Simvastatin loaded solid lipid nanoparticles were papered by using 32 factorial design to yield an optimized formulation (F7) having lowest particle size and higher entrapment efficiency that controlled drug release for 36 hrs. Promising results of the study indicated the applicability of simvastatin solid lipid nanoparticles as potential tools to improve the bioavailability of poorly soluble drugs.



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*Source: 951016-2014-02-13.xml*