Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Suez Canal University, Ismailia 41522, Egypt.
Email: shaded_abdelrahman@pharm.suez.edu.eg
Received: 13 Dec 2014 Revised and Accepted: 06 Jan 2015
ABSTRACT
Objective: The aim of the current work was to look into the feasibility of planning of solid lipid nanoparticles of Glyceryl mono stearate containing Dibenzoyl peroxide, Erythromycin base, and Triamcinolone acetonide as model drugs.
Methods: Solid lipid nanoparticles loaded with three model lipophilic drugs were developed by high shear hot homogenization method. The model drugs used are Dibenzoyl peroxide, Erythromycin base, and Triamcinolone acetonide. Glyceryl monostearate was used as the lipid core; Tween 20 and Tween 80 were employed as surfactants and lecithin asco-surfactant. Many formulation parameters were manipulated to receive high quality nanoparticles. The prepared solid lipid nanoparticles were evaluated by different standardphysical and imaging methods. The efficiency of drug release form prepared formulaewas studied using In vitro technique to utilize of dialysis bag technique. The stability of prepared formulae was studied by thermal procedures and infrared spectrum analysis.
The physicochemical properties of the prepared formulae like particle size, drug entrapment efficiency, drug loading capacity, yield content and In vitro drug release behavior were too assessed.
Results: The average particle diameter measured by a laser diffraction technique was (194.6±5.03 to 406.6±15.2 NM) for Dibenzoyl peroxide loaded solid lipid nanoparticles, (220±6.2 to 328.34±2.5) NM for Erythromycin loaded solid lipid nanoparticles and (227.3±2.5 to 480.6±24) NM for Triamcinolone acetonide loaded solid lipid nanoparticles. The entrapment efficiency and drug loading capacity, determined with ultravioletspectroscopy, were 80.5±9.45% and 0.805±0.093%, for Dibenzoyl peroxide, 96±11.5 and0.96±0.012 for Triamcinolone acetonide and 94.6±14.9 and 0.946±0.012 for Erythromycinbase respectively. It was found that model drugs showed significant faster release patterns when compared with commercially available formulations and pure drugs(p˂0. 05). Thermal analysis of prepared solid lipid nanoparticles gave indication ofsolubilization of drugs within a lipid matrix. Fourier Transform Infrared Spectroscopy
(FTIR) showed the absence of new bands for loaded solid lipid nanoparticles indicating nointeraction between drugs and lipid matrix and being only dissolved in it. Electronmicroscope of scanning and transmission techniques indicated sphere form of preparedsolid lipid nanoparticles with smooth surface with size below 100 nm.
Conclusion: In conclusion, it may be concluded that solid lipid nanoparticles with small particle size have high encapsulation efficiency, and relatively high loading capacity for Dibenzoyl peroxide, Erythromycin base, and Triamcinolone acetonide as model drugs can be obtained by this method.
Keyword: Solid lipid nanoparticles, High shear homogenization, Tween 20, Tween 80, Glyceryl monostearate, Dibenzoyl peroxide, Erythromycin base, Triamcinoloneacetonide.
INTRODUCTION
Solid lipid nanoparticles (SLN) offer an attractive means of drug delivery, particularly for poorly water-soluble drugs. They blend the advantages of polymeric nanoparticles [1] fat emulsions and Liposomes [2, 3]. SLN consists of drug trapped in biocompatible lipid core and surfactant in the outer shell, offering a good alternative to polymeric systems [4] in terms of lower toxicity [5]. Moreover, the production process can be modulated for desired drug release, protection of drug degradation and avoidance of organic solvents. The previous advantages make SLN a promising carrier system for optimal drug delivery. Dibenzoyl peroxide is a safe and effective agent for treating acne. Dibenzoyl peroxide has no direct effect on inflammation and acts through its bactericidal actions [6]. Furthermore, Dibenzoyl peroxide’s lipophilic nature enhances transport through sebaceous glands, with maximum penetration through acne follicles. Dibenzoyl peroxide can be bonded to the solid lipid nanoparticles surface and facilitate drug targeting to skin strata and increase efficiency of acne remedy [7].
Topical erythromycin treatment was used for inflammatory acne vulgaris due to activity against Propionibacterium acnes [8]. It is slightly soluble in water, freely soluble in alcohol, soluble in methanol.
Triamcinolone acetonide is a topical lipophilic corticosteroid used to treat dermatitis [9]. Dibenzoyl peroxide, erythromycin base and triamcinolone acetonide are examples of topical drugs with poor dermal localization due to lipophilicity. Solid lipid nanoparticles could be a carrier for these drugs with potential impact on the dissolution of these drugs.
The purpose of this work was to explore the practicability of preparation of solid lipid nanoparticles containing Dibenzoyl peroxide (DP), Erythromycin base (ER), and Triamcinolone acetonide (TA). High shear hot homogenization technique was employed to prepare the solid lipid nanoparticles; the physicochemical properties of the SLNs like particle size, drug entrapment efficiency (EE), drug loading capacity (LC), yield content and in-vitro drug release behavior was studied.
MATERIALS AND METHODS
Materials
Glyceryl monostearate-technical self-emulsifying (BDH Chemicals Ltd Poole-England), Tween 80 (polysorbate 80), Tween 20 (polysorbate 20), ICI America (Wilmington, DE, USA), Lecithin (Spectrum Chemicals & Laboratory Products, New Brunswick, NJ), Dibenzoyl peroxide, triamcinolone acetonide, erythromycin base (MUP pharmaceutical company, Abusultan, Egypt), Aknemycin® cream, Akenroxide® gel (MUP pharmaceutical company, Abusultan, Egypt), Kenalog® cream (Bristol–Myers squib), Dialysis tubing cellulose membrane (molecular weight cut-off 12, 000 g/mole) sigma-Aldrich Chemical Company, St. Louis, USA, and all other chemicals were of reagent grade and used as delivered.
Methods
Preparation of solid lipid nanoparticles loaded with model drugs
Solid lipid nanoparticles of the smallest size during preliminary study were loaded with DP, ER and TA as model topical drugs. Briefly, the drugs were dispersed in melted lipid (60- 700), then the mixture was dispersed in a hot aqueous solution with surfactant concentration of 5 % w/w and 1 % w/w lecithin as co-surfactant at the same temperature, by high –speed stirring, using an Ultra-Turrax homogenizer (Ultra- Turrax T – 25, IKA, Germany) at 12, 000 rpm for 10 minutes, with 30 seconds intervals every two minutes. The resulting dispersion was then cooled and each sample was diluted with water before measurement and particle size was measured using dynamic laser light scattering apparatus at 25 °C. (Mastersizer 2000 vers. 5.54, hydro 2000 S, Malvern instruments Ltd., Malvern, Worcs, UK). Each measurement was performed in triplicate and the particle average diameter and polydispersity index (PI) was determined [10]. SLNs were prepared by the same technique using 50 % w/w glycerol as the viscosity enhancer.
Loading capacity
The loading capacity (L. C) refers to the percentage amount of drug entrapped in solid lipid nanoparticles according to the following equation:
Encapsulation efficiency
Drug entrapment efficiency was determined by ultracentrifugation. The drug entrapmentefficiency was calculated from the ratio of the drug amount incorporated into SLNs to the total added drug amount. Ultracentrifugation was carried out using ultracentrifuge (Eppendorf centrifuge 5417 C, Netheler- Hinz- Gmbh), About 1 gm of SLNs dispersioncontaining the drug was placed in the centrifuge tube, and samples were centrifuged at 14, 000 rpm for 15 min. The amount of the drug in the supernatant was estimatedspectrophotmetrically at 235 nm for DP according to B. P 2009[11], 250 nm for TA according to B. P 2009 [11] and 633 nm against a blank after ion pair with crystal violet for ER [12].
Determination of yield of solid lipid nanoparticles
This was calculated by weighing centrifuged samples of isolated solid lipid nanoparticles andreferring them to the initial amount of solid lipid nanoparticles components according to the following equation
Table 1: composition of selected formulas used for loading of model drugs
Formula code | GMS %w/w |
Surfactant % w/w |
Co-surfactant % w/w (lecithin) |
Glycerol % w/w |
Model drug % w/w |
F1 | 10.0 | 5.0 (Tween 80) | 1.0 | ---------- | 1.0 |
F2 | 10.0 | 5.0 (Tween 80) | 1.0 | 50.0 | 1.0 |
F3 | 10.0 | 5.0 (Tween 20) | 1.0 | ---------- | 1.0 |
F4 | 10.0 | 5.0 (Tween 20) | 1.0 | 50.0 | 1.0 |
Scanning electron microscopy (SEM)
For scanning electron microscopy (SEM), dried solid lipid nanoparticles loaded with model drugs were fixed on a brass stub using double-sided adhesive tape and then made electrically conductive by coating with a thin layer of gold for 30 seconds using JEOL fine coat (JFC-1100F ion sputtering device) and scanned using JEOL (JSM-S. M 5300) using software (ORION 6.60.4).
Transmission electron microscopy (TEM)
Solid lipid nanoparticles loaded with model drugs were stained with phosphotungstic acid 2% w/v and placed on copper grids with Formvar films for viewing by a transmission electronmicroscope operated at 120 kV (JEOL-JEM-100CX EM) and operated using computer program named (AMT Image Capture Engine V601)
Differential scanning calorimetry (DSC)
Accurately weighed samples (1-8) mg samples were crimped in closed 40-μl aluminium pans. Samples were run at a heating rate of 10 °C /min under constant purging of nitrogen at30 ml/min and heated from 25 °C to 300 °C (except for samples of GMS, it was heated toonly 80 °C and samples of DP to only 200 °C) using Shimadzu DSC-60, Kyoto, Japan andShimadzu DSC-60 data analysis. The references used for comparison were the same but empty aluminium pans
Fourier transformation infrared spectroscopy (FTIR)
The pure drug, plain dried solid lipid nanoparticles, physical mixture and model drug loadeddried solid lipid nanoparticles were mixed for each with KBr (IR grade) in the ratio of 100: 1 and then scanned over a wave number range 4000- 500 cm-1. Measurements were carried out using Shimadzu 435 U-O4 IR spectrometer, (Japan) at the Micro-Analytical Centre ofFaculty of Science, Cairo University, Egypt).
In vitro drug release studies
These studies were completed using horizontal water bath shaker (Clifton water bath, USA)that maintained at 60 cycles per minute and the dialysis bag that could retain SLNs and allow the diffusion of free drug into dissolution media. The bags were soaked in distilled water for 12 h before use. The release medium was 10 ml phosphate buffer (pH 5.5). The temperature was set at 32 ± 0.5 °C. A 1 gm sample of the drug loaded SLNs was instilled in adialysis bag held with two clamps at each end. At known time intervals (0.5, 1, 2, 4, 8, 12, 24, 36, and 48 h) the complete media were withdrawn and replaced by equal volumes offresh buffer to maintain sink condition. The samples filtered and assayed for each model drug spectrophotometrically (Dibenzoyl peroxide at 235 nm, erythromycin base at 633 nm according to Amin and Issa [12]while triamcinolone acetonide at 250 nm with Shimadzudouble beam UV- visible spectrophotometer model UV- 1601PC connected to a promaxcomputer fitted with UPVC personal spectroscopy software version 3.7 (ShimadzuCorporation, Kyoto, Japan). The experiments were carried out as triplicate for each releasestudy and the mean values were calculated [13].
Statistical analysis
Data were analysed by using the program SPSS 16.0 (SPSS Inc., Chicago, IL, USA) with help of one-way analysis of variance (ANOVA) test followed by post hocmultiple comparisons and(LSD) least significant difference formulae be significantat P<0.05.
RESULTS AND DISCUSSION
Particle size of prepared solid lipid nanoparticles
Solid lipid nanoparticles of selected formulations listed in table (1) were loaded with modeldrugs were prepared using high shear hot homogenization with 12, 000 rpm ashomogenization speed.
Table (2) showed that the mean particle size measured by laser diffraction technique was194.6±5.03 to 406.6±15.2 nm for Dibenzoyl peroxide loaded solid lipid nanoparticles, 220±6.2 to 328.34±2.5 for Erythromycin loaded solid lipid nanoparticles and 227.3±2.5 to480.6±24 for Triamcinolone acetonide loaded solid lipid nanoparticles; while for empty solidlipid nanoparticles, particle size was from 172±3 nm to 231±11 nm. It was found that loadingdid not affect size of solid lipid nanoparticles. This result was in agreement with vivek et al[14] who found that lipid hydrophilicity, self-emulsifying properties of the lipid affected theshape of the lipid crystals (and hence the surface area) that had an indirect effecton the final sizeof the SLN dispersions. These results agreed with Le Verger et al [15] who compared emptynanoparticles with that loaded with isradipine and found no significant difference betweenempty and loaded nanoparticles; solubility or dispersion of model drugs into nanoparticlesbeside high concentration of surfactant and co-surfactant may be a good reason for that. These results agreed with that of Almeida et al. [16] who stated that solid lipid nanoparticlesare appropriate to incorporate lipophilic drugs that are dissolved in melted lipid.
Table 2: Particle size and polydispersity index of empty SLNs and loaded SLNs.
Formula code |
Empty SLNs |
DP-SLNs |
ER-SLNs |
TA-SLNs |
||||
Particle size ±S. D |
P. I |
Particle size ±S. D |
P. I |
Particle size ±S. D |
P. I |
Particle size ±S. D |
P. I |
|
F1 |
187±0.57 |
0.003 |
286±15.7 |
0.054 |
234±9.6 |
0.041 |
429±18 |
0.0419 |
F2 |
172±3 |
0.0104 |
194.6±5.03 |
0.0371 |
220±6.2 |
0.028 |
227.3±2.5 |
0.0109 |
F3 |
231±11 |
0.026 |
406.6±15.2 |
0.0376 |
273±10.5 |
0.008 |
480.6±24 |
0.0499 |
F4 |
180±1 |
0.007 |
356±13.5 |
0.0378 |
328.34±2.5 |
0.0109 |
352.67±7.6 |
0.030 |
Table 3: Yield percentage (Y. P), Encapsulation efficiency (E. E) and Loading capacity (L. C) of Loaded SLNs
Formula code |
DP -SLNs |
ER-SLNs |
TA-SLNs |
||||||
Y. P % |
E. E % |
L. C (ratio) |
Y. P % |
E. E % |
L. C (ratio) |
Y. P % |
E. E % |
L. C (ratio) |
|
F1 |
69.72±1.69 |
77.26±4.06 |
0.7726±0.031 |
79.68±22.9 |
94.6±14.9 |
0.946±0.012 |
49.8±5.09 |
96±11.5 |
0.96±0.012 |
F2 |
49.8±5.36 |
51.23±6.85 |
0.5123±0.061 |
39.8±13.8 |
83.06±7.95 |
0.8306±0.09 |
19.9±6.12 |
89.3±12.9 |
0.893±0.058 |
F3 |
49.8±8.92 |
80.5±9.45 |
0.805±0.093 |
59.7±6.12 |
85.04±5.24 |
0.8504±0.054 |
39.8±7.49 |
85.34±7.44 |
0.8534±0.025 |
F4 |
39.8±2.91 |
51.23±8.61 |
0.5123±0.0211 |
29.88±5.14 |
74.9±6.92 |
0.749±0.091 |
10.9±3.94 |
75.3±6.08 |
0.753±0.031 |
Encapsulation efficiency, loading capacity and yield content
Table (3) showed high relative encapsulation efficiency and drug loading. This may be dueto high lipid concentration that enhances solubility of drugs and so loading of them intoSLNs. These results agreed with that of Bhalekar et al [17]. The encapsulation efficiency inmost formulations > 75% which may be due to higher ratio of lipid to drug (5:1), theseresults agreed with Kim et al [18] who found that loading of verapamil drug was > 75 % forall formulations having high lipid to verapamil ratio (5:1 and 10:1). The results showed highencapsulation efficiency and drug loading for formulations F1and F3 relative to F2 and F4;that may be attributed to the high viscosity of formulations F2 and F4. The presence of 50 %glycerol in previous formulae may hinder the loading of drugs into SLNs due to retardation ofmovement of particles. The encapsulation efficiency and drug loading of formulae F1 and F2higher than F3 and F4, respectively due to use of Tween 80 with higher HLB than Tween 20used for other formulae. Higher HLB values may enhance loading and encapsulationefficiency depending on reduction of interfacial tension and enhancement of solubilization ofmodel drugs. These results were not in agreement with that of El-laithy et al [19] whoprepared vinpocetine niosomes and found that the resulted product showed highencapsulation efficiency regardless of HLB of nonionic surfactants.
Fig. 1: In-vitro release of DP from SLNs
In-vitro release study
Membrane diffusion techniques are widely used for the study of drug In vitro releaseincorporated in colloidal systems. In these cases, drug release follows more than onemechanism. In case of release from the surface of SLNs, adsorbed drug quickly dissolvedwhen it comes in contact with the release medium. Drug release by diffusion involves threesteps. Briefly, water penetrates into system and causes swelling of matrix followed by theconversion of solid lipid into rubbery matrix, and then the diffusion of drug from the swollenrubbery matrix takes place. Hence, the release is slow initially and later, it becomes fast [20].
According to Le Verger et al. [15] the release rate of the drug and its appearance in the dissolution medium is controlled by partitioning the drug between the lipid phase and the aqueous environment in the dialysis bag then by diffusion of the drug across the membrane. The mode of preparation (cold or hot homogenization) influences the drug release profile.
It was noted by Schafer –Korting et al [8] that surfactant and higher temperature enhancedprednisolone solubility in the aqueous phase and supported the enrichment of the steroid in the superficial layers during cooling of the preparation and crystallization of the lipid.
Superficially entrapped prednisolone is available for the initial burst release
Fig. (1-3) showed that the release of drugs from formulae was enhanced significantly atlevel of P˂0.05 when compared with drugs only, drugs mixed Tween 80 and drugs mixedwith Tween 20 with the same proportions as in the formulae and also commercially availableformulations. Upon comparing the release of model drugs from prepared formulae, it was found thatformula F1better release efficiency than F3. Tween 80 used for the preparation of F1 gavesmaller size than that of Tween 20 used for the preparation of formula F3 with larger micellesize, but with lower solubilizing capacity of lipophilic drugs, and hence the lower dissolution ratethat result in lower release efficiency [21].
The effect of viscosity (50 % Glycerol) on the release of model drugs from prepared formulaewere studied as seen in fig. (1-3). Glycerol was used as a viscosity enhancer during earlier optimization of conditions for SLNs preparation, and resulted in smaller size for the formulaeF2 and F4.
During release studies, release efficiency of drugs from formulae F1 and F3 werebetter than that of F2 and F4 that contain 50 % glycerol. Formulae F2 and F4 had aconsistency of semisolid form while F1 and F3 still in liquid form which had a good relation toeffect of viscosity on release of drugs. According to Bisrat et al [22] who found that the viscosityof glycerol affected the rate of dissolution and diffusion of griseofulvin that compatible with current results.
Fig. 2: In-vitro release of ER from SLNs
Fig. 3: In-vitro release of TA from SLNs
Scanning electron microscopy (SEM)
After loading of different formulations with model drugs, In vitro release studies revealed thatformulation F1 showed significant enhancement of release for all model drugs. Theformulation showed the best In vitro release discussed earlier were scanned using scanningelectronmicroscope to evaluate surface of formulated solid lipid nanoparticles. Figs. (4-6) show illustrated scans of formulated SLNs loaded with models drugs. From these scans, allSLNs are spherical in shape with smooth surfaces.
Fig. 4: SE micrograph for DP-SLNs formula F1
Fig. 5: SE micrograph for ER-SLNs formula F1
Fig. 6: SE micrograph for TA-SLNs formula F1
Transmission electron microscope (TEM)
Fig. (7-9) show the shape of the nanoparticles entrapping DP, ER and TA. The particles tested demonstrated round and homogeneous shape; the fig. also made us sure that the prepared SLNs size was less than 100 nm which agreed with results of Han et al [23] who prepared nanostructured lipid carriers and studied TEM and found that the particles investigated were round with homogeneous shading and particle size ranging from 50 to 100 nm.
The fig. illustrated the presence of a layer enclosing the nanoparticles, whicharecharacterizedin the case of loaded SLNs. These results in full agreement with Sznitowska et al[24] as they studied the TEM of diazepam loaded SLNs and found a layer around loaded SLNs that was not apparent in unloaded ones. This is also in agreement with other results of [5, 25, 26].
It can be fulfilled that the values of SLNs diameters by TEM were clearly smaller than those measured by the particle size analyser. This may be ascribed to dehydration of nanoparticles during sample preparation for TEM. Also, the particle size analyser measures the apparent size (hydrodynamic radius) of particles, including hydrodynamic layers that form around these nanoparticles leading to overestimation of the nanoparticles size [27, 28].
Fig. 7: TE micrograph for DP-SLNs formula F1
Fig. 8: TE micrograph for ER-SLNs formula F1
Fourier transform infrared spectroscopy
Fig. 10 showed the FTIR spectrum of GMS (lipid core and main component of SLNs). The characteristic bands of it showed C-H stretching and C-H bending at 1200-1000 cm-1 and 850- 700 cm-1[29].
Fig. 9: TE micrograph for TA-SLNs Formula F1
Fig. 10: FTIR spectrum of GMS (main component of SLNs)
Fig. (11) showed the FT-IR of DP, physical mixture and DP-SLNs. The characteristic bands of DP include medium weak doublet band of O-O at 1017-880 cm-1, strong band of C-O-O at 1200-1000 cm-1, characteristic aromatic C-H at 3400-3000 cm-1and characteristic peak of benzoyl groups at 1727 cm-1. The absence of new bands of DP-SLNs indicated no interaction between drug and lipid matrix, and drug being only dissolved in matrix [30].
A |
|
B |
|
C |
Fig. 11: FTIR spectra of (a) DP, (b) physical mixture and (c) DP- SLNs (formula F1), displaced forbetter visualization
Fig. (12) showed the FT-IR of ER and ER-SLNs which reveal differences in three regions(3300–3700, 2900– 3000, and 1600–1800 cm-1). The small shoulder in the region of 2900–3000 cm-1 may be due to the effect of water presented in the molecules on alkane stretching. The difference in intensities of two peaks in the region between 1600 and 1800 cm-1 suggests the difference in orientation of carbonyl groups. The absence of new bands ofER-SLNs indicated that there was no chemical reaction between the drug and lipid matrix, being only dissolved in lipid matrix of GMS. These results were in full agreement with thatobtained from Sarisuta et al, [31] who studied the FT-IR of ER loaded on differentformulations.
A | |
B | |
c |
Fig. 12: FTIR spectra of (a) ER, (b) Physical mixture and (c) ER- SLNs (formula F1), displacedfor better visualization
In FT-IR spectrum (fig. 13), the characteristic bands observed from the data of TA included the OH group in the range 3650–3200 cm−1, C–H stretching in the range of 3000 cm−1 and2900 cm−1, C=O in 1775–1650 cm−1, C=C in 1690–1635 cm−1, and C–O–C in 1310–1000 cm−1[29]. The absence of new bands for TA-SLNs gave indication that there was no chemical interaction between the drug and the lipid, being drug only dissolved in the lipid matrix. Similar results were documented by Da Silva-Junior et al [32] for triamcinoloneloaded formulations.
A | |
B | |
c |
Fig. 13: FTIR spectra of TA, Physical mixture and TA- SLNs (formula F1), displaced for better visualization
Thermal behaviour of SLN
The formula F1 used for loading model drugs due to best release of model drugs wasthermally scanned using differential scanning calirometry (DSC). Fig. (14) showed DSCthermogram of GMS (main constituent of solid lipid nanoparticles) with sharp endothermicpeak around 60 °C, indicative of melting. These results agreed with that of Freitas et al [33]who studied the DSC analysis of GMS and found that melting endotherm of it was at 60.39°C. Fig. (15) showed DSC thermograms of plain SLNs (Formula F1) with a characteristic peak of GMS reduced to be at 50 °C approximately. The shift of melting point of GMS maybe due to small size (nanometer range) of SLNs compared with lipids in bulk, the dispersedcondition of the lipid, and use of surfactants. These results augmented by other literatures[25, 26, 34, 35].
Fig. (16) showed DSC thermograms of DP, a physical mixture of drug and GMS and DPSLNs. The thermogram of DP showed very short endothermic peak at 104 °C followed bysharp exothermic peak around 117 °C which indicated that the drug was melted followed bydegradation. Physical mixture formed of model drug and GMS only. The DSC thermogram of physical mixture showed the characteristic peaks of both GMS at 56 °C with melting anddegradation peaks of DP.
DSC thermogram of DP-SLNs was characterized by initial endothermic peak at 50 °Capproximately which is characteristic for GMS with absence of characteristic exothermicpeak of DP which may be indicative of absence drug in crystalline form and solubilisation ofdrug within lipid matrix with enhanced stability.
Fig. (17) showed DSC thermograms of ER, physical mixture and ER-SLNs (formula F1). TheDSC thermogram of ER showed characteristic endothothermic peaks at 188 °C, 257 °C and 294°C indicating degradation of drug. DSC thermogram of physical mixture containing ERshowed a characteristic peak of GMS at 57 °C with that of ER endothermic peak at 188 °C, 257 °C and 294 °C. DSC thermogram of ER-SLNs showed the characteristic peak of GMS that shifted to about50 °C with absence of endothermic peak of ER indicating solubilisation of drug in the lipidmatrix of formulated solid lipid nanoparticles.
Fig. (18) showed DSC thermograms of TA, physical mixture and TA- SLNs (formula F1). The DSC thermogram of TA showed a characteristic sharp endothermic peak at 288 °Capproximately indicating melting of drug. The DSC analysis of the physical mixture (preparedin the same manner of previous drugs) showed both characteristic peaks of GMS at 60 °Cand of that of TA at 288 °C. DSC endotherm of TA-SLNs revealed only the characteristic peak ofGMS with the absence of that of TA indicating solubilisation within lipid matrix. These resultswere fit with that results obtained from Araujo et al. [36].
Fig. 14: DSC thermogram of GMS displaced for better visualization
Fig. 15: DSC thermogram of plain SLN (formula F1), displaced for better visualization
a | b |
c |
Fig. 16: DSC thermograms of (a) DP, (b) Physical mixture of DP - GMS (c) DP SLNs (formula F1)
a | b |
c |
Fig. 17: DSC thermograms of (a) ER, (b) Physical mixture of ER-GMS (c) ER SLN (formula F1)
a | b |
c |
Fig. 18: DSC thermograms of (a) TA, (b) physical mixture of TA - GMS and (c) TA- SLNs (formula F1)
CONCLUSION
In this study, lipophilic model drugs (Dibenzoyl peroxide, Erythromycin base and Triamcinolone acetonide) were used to study the feasibility of preparation of solid lipid nanoparticles. The drugs were successfully incorporated into SLNs by high-shear hot homogenization technique. The effects of different formulation parameters like viscosity and surfactant type and concentration on encapsulation efficiency, particle size and physicochemical properties of producing SLNs were investigated. Drug release from prepared SLNs formulae was enhanced compared to commercially available formulae as obtained through In vitro release tests. The type of surfactant and also concentration beside glycerol as a viscosity enhancer used had a great power of the physicochemical description of SLNs and the In vitro drug release. Formulation F1 containing Tween 80 as a surfactant and the lipid matrix (10% glyceryl monostearate and 5% Tween 80 with 1 % lecithin as co-surfactant) showed the best results according to the entrapment efficiency and In vitro drug release.
CONFLICT OF INTERESTS
Declared None
REFERENCES