Research Article - (2015) Volume 6, Issue 1

Utilization of Crosslinked Starch Nanoparticles as a Carrier for Indomethacin and Acyclovir Drugs

Gina S El-Feky2, El-Rafie MH1, MA El-Sheikh1, Mehrez E El-Naggar1* and Hebeish A1
1Textile Research Division, National Research Centre, Cairo, Egypt
2Department of Pharmaceutical Technology, National Research Centre, Cairo, Egypt
*Corresponding Author: Mehrez E El-Naggar, Textile Research Division, National Research Centre, Cairo, Egypt, Tel: 33345732 Email:

Abstract

An eco-friendly nanoprecipitation technique was put forward to synthesize native starch nanoparticles loaded with insoluble drugs such as indomethacin (IND) and Acyclovir (ACV). Factors studied to find out the optimum conditions for preparation of different formulations of crosslinked starch nanoparticles (TPP-StNPs) loaded with insoluble drugs. The factors are 20 mg, 50 mg of drug concentration and 0.5, 1 g of sodium tripolyphosphate (STPP) while the concentration of starch and surfactant were kept constant. World-class facilities as particle size analyzer, poly dispersity index (PDI), zeta potential, TEM, XRD, FT-IR, UV-vis spectroscopy and DSc were used for evaluation of the resultant crosslinked starch nanoparticles loaded with drug. The sustained release of drugs were evaluated using entrapment efficiency and in vitro release. The data obtained confirmed that there is no chemical interaction between drug (IND, ACV) and crosslinked starch nanoparticles. The results indicate that the best formula for IND loaded starch nanoparticles was 0.5 g STPP and 20 mg IND while the best formula for ACV nanoparticles was at 0.5 g STPP and 50 mg ACV drug.

Keywords: Nanoprecipitation technique; Crosslinked starch nanoparticles; Factorial design; Indomethacin; Acyclovir; Entrapment efficiency; In vitro release

Introduction

The field of pharmaceutical science has been developing steadily over the years. Pharmaceutical nanoparticles are submicron-sized, colloidal vehicles that carry drugs to the target or release drugs in a controlled way in the body. Controlled drug delivery offers advantages like reduced dosing frequency, better therapeutic control, reduced side effects, and, consequently, better patient compliance. After preparation, nanoparticles are usually dispersed in liquid [1-5].

Such a system can be administered to humans for example by injection, by the oral route, or used in ointments and ocular products. Alternatively, nanoparticles can be dried to a powder, which allows pulmonary delivery or further processing to tablets or capsules. In drug delivery, nanoparticles should readily be biocompatible (not harmful for humans) and biodegradable (deteriorate and expulse in the body conditions). These properties, as well as targeting and controlled release, can be affected by nanoparticle material selection and by surface modification. Materials such as synthetic polymers, proteins or other natural macromolecules are used in the preparation of nanoparticles. To process these materials into nanoparticles, a variety of preparation techniques exist ranging from polymerization of monomers to different polymer deposition methods.

Biodegradable nanoparticles for pharmaceutical use are prepared from a variety of synthetic and natural polymers. Synthetic polymers such as polyacrylates, polycaprolactones, polylactides and its copolymers with polyglycolides. Natural polymers include e.g. albumin, alginate, gelatin, and probably the most studied natural polymer for pharmaceutical nanoparticle applications: chitosan. The polymers used in the current investigation is native starch have been proposed as a carrier for a number of drugs. Properties such as biodegradability, non-toxicity, good biocompatibility, simple production combined with low cost and ready availability makes them suitable for use in biomedical and pharmaceutical formulations.

Topical delivery of drugs to the skin, one of the most readily accessible organs of the body, has been studied for a long time to understand the pathophysiology of skin diseases or for their effective treatment. Skin separates the vital organs from the outside environment and serves as a protective barrier against physical, chemical and microbial attacks. Although topical application of drug offers many advantages, including avoidance of first-pass metabolism, lower fluctuations in plasma drug levels, targeting of the active ingredient for a local effect and good patient compliance, but the barrier nature of skin makes it difficult for most drugs to penetrate into and permeate through it. There has been wide interest in exploring new techniques to enhance drug absorption through the skin during the past decades [6-10].

Presently, transdermal drug delivery is one of the most promising routes of drug administration. Indomethacin (IND) and Acyclovir (ACV) were selected as model drugs. Poorly soluble drugs are a challenging problem in transdermal formulation; generally, transdermal efficacy is closely related to transdermal drug bioavailability [11].

Acyclovir is an antiviral drug. It slows the growth and spread of the herpes virus in the body. It will not cure herpes, but it can lessen the symptoms of the infection. Acyclovir is converted by viral thymidine kinase to Acyclovir monophosphate, which is then converted by host cell kinases to Acyclovir triphosphate (ACV-TP). ACV-TP, in turn, competitively inhibits and inactivates HSV-specified DNA polymerases preventing further viral DNA synthesis without affecting the normal cellular processes.

Indomethacin (IND), {2-{1-[(4-chlorophenyl) carbonyl]-5- methoxy-2-methyl-1H-INDl-3-yl} acetic acid}, has been used as a non-steroidal anti-inflammatory drug (NSAIDs) for topical pharmaceutical preparations. On the other hand, Acyclovir (ACV), {9-[(2-hydroxyethoxy)methyl] guanine}, is a synthetic purine nucleoside analogue derived from guanine considered the safest and most efficacious drug able to act against herpes simplex viruses (HSV- 1 and HSV- 2) [12-18].

The aim of the present study is to prepare a formulation of drug loaded TPP-StNPs using nanoprecipitation technique and to study the effect of two important parameters on the prepared nanoparticles using factorial design. The two parameters include; the concentration of the crosslinking agent (sodium tripolyphosphate; STPP) and the drug concentration (IND and ACV concentration). Other parameters such as starch as polymer and Tween®80 as surfactant were kept constant. Thorough evaluation of the obtained TPP-StNPs loaded with drug using different technique such as particle size analyzer, polydispersity index (PDI), zeta potential, Transmission electron microscopy (TEM), entrapment efficiency, in vitro release studies, Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD) and Differential Scanning Calorimetry (DSC) were performed [19-23].

Materials and Methods

Materials

Starch was kindly supplied by Starch and Glucose Company, Egypt. Indomethacin (IND) was obtained as a gift from Misr Co. for Medical Products, Egypt. Acyclovir (ACV) was a kind gift from Memphis Pharmaceutical Co., Egypt. Tween® 80>99.9% was obtained from Sigma- Aldrich Chemie GmbH (Germany). Sodium tripolyphosphate (STPP) was purchased from Sigma-Aldrich Chemical Co. Ltd. Phosphate buffer saline (PBS) was prepared using disodium hydrogen orthophosphate. All other chemicals and reagents used were of pharmaceutical grade.

Methods

Preparation of Indomethacin (IND) and Acyclovir (ACV) loaded TPP-StNPs: IND and ACV nanoparticles were prepared by nanoprecipitation method as follow: 5 g of native starch was dissolved in 70 ml distilled water containing 1.5 g NaOH. This solution was kept under high mechanical stirring for 30 min at 25°C. 0.4 g Tween®80 dissolved in 20 ml distilled water containing different amounts of drug, IND or ACV (20 mg and 50 mg) was slowly added, followed by the addition of 10 ml H2O containing different amounts of STPP (0.5 g and 1 g) under continuous highly mechanical stirring, keeping in mind that the total volume of the reaction mixture is 100 ml. The reaction mixture was left to stand at room temperature for 2 h to effect crosslinking with constant agitation rate at 25°C. The resulting drug encapsulated cross-linked starch nanoparticles were subsequently precipitated by 100 ml of absolute ethanol. The resultant powder were purified by means of centrifugation and washing rinsed twice with 80/20 absolute ethanol/water to remove unreacted compounds and finally with absolute ethanol. The resultant nanoparticles were then isolated by means of centrifugation for 1 h at 4500 rpm. At the end, the supernatant was taken for further analysis to determine the loss in the amount of drug and the supernatant was freeze-dried for 12 h and kept in closed containers for further analysis. The as described freezedried drug loaded cross-linked starch nanoparticles in the solid state can be easily re-dispersed in distilled water by hand agitation before use [24-28].

Experimental design: The formulations were fabricated according to 22 full factorial design allowing the simultaneous evaluation of two formulation variables and their interaction. In the factorial design, two factors were evaluated each at two levels of each variable and experiment were performed at all four possible batches; the crosslinking agent concentration (X1) and that of the drug concentration (X2) in the formulations. JMP® (version 7, SAS, USA) was used.

Characterization of drug loaded TPP-StNPs: The mean particle size, size distribution of nanoparticles and zeta potential were determined by dynamic light scattering (DLS) using a Malvern Zetasizer Nano- ZS-ZEN 1600 (Malvern Instruments Co., UK). Particle size distribution of the nanoparticles is monitored using a polydispersity index (PDI). The morphology of drug loaded TPPStNPs was observed by transmission electron microscopy on a JEOL (JEM-1230) Japan with an acceleration voltage of 120 kV.

The chemical interactions between TPP-StNPs and IND or ACV drugs were established through FTIR spectrometry. (Maryland, USA). Differential Scanning Calorimetry (DSC) analysis was carried out in order to identify possible interactions between the components [29].

For assessment of calibration curves for IND and ACV, a specific concentration of each of IND and ACV separately in phosphate buffer saline (PBS) at pH 5.5 mixed with ethanol was scanned spectrophotometrically to determine the wave length of maximum absorbance. Calibration curves were assessed from the absorbance values at λmax of a series of IND and ACV solutions containing different concentrations of each of both drugs.

To determine the entrapment efficiency (E.E.%) of IND or ACV into crosslinked nanoparticles, the amount of free IND and ACV in supernatant were calculated by measuring the absorbance using UV-Vis spectrophotometer at 251 nm and 264 nm, respectively. The entrapment efficiency was then calculated from the difference between the total free (IND and ACV) and the initial amount of the drugs.

To determine the in vitro release of IND and ACV drugs from the prepared nanoparticles, the drug loaded TPP-StNPs were placed in PBS (pH 5.5) at room temperature and samples were taken in particular time intervals and the released amounts were determined using UV–Vis spectrophotometer.

Results and Discussion

Nanotechnology appears as a very good alternative system to deliver and to protect drugs. The efficacy of many drugs is often limited by their potential to reach the site of therapeutic action. In most cases (conventional dosage forms), only a small amount of administered dose reaches the target site, while the majority of the drug distributes throughout the rest of the body in accordance with its physicochemical and biochemical properties. Therefore, developing a drug delivery system that optimizes the pharmaceutical action of a drug while reducing its toxic side effects in vivo is a challenging task. One approach is the use of colloidal drug carriers that can provide site or targeted drug delivery combined with optimal drug release profiles. The submicron drug delivery system for drug targeting was developed. Polymeric nanoparticles, which possess a better reproducibility and stability profiles than other carrier like microparticles have been proposed as alternative drug carriers that overcome many of these problems. Here, starch was used as a carrier due to its wide pharmaceutical application. The ability of the prepared nanoparticles to control the release of two poorly soluble model drugs; IND and ACV was assessed.

Particle size analyzer and PDI of IND and ACV loaded nanoparticles

Particle size analysis often used for characterization of formulated nanoparticles, because it facilitates the understanding of the dispersion and aggregation. It has a direct relevance to the stability of the formulation. Larger particles tend to aggregate to a greater extent compared to smaller particles, thereby resulting in sedimentation. PDI is a measure of homogeneity in dispersed systems and ranges from 0 to 1. Homogeneous dispersion has PDI value close to zero while PDI values greater than 0.5 suggest high heterogeneity [30].

It is seen from Table 1 that the particle size of the IND loaded crosslinked starch is in the range from 24 to 141 nm. The PDI values for all batches are in the range of 0.35 to 0.5. An increase in the particle size of IND loaded TPP-StNPs with a decrease in PDI was observed with increasing the concentration of STPP. This could be interpreted in terms of increasing the concentration of STPP which provides resistance for mass transfer and in turn diffusion of crosslinked starch-solvent phase into the external phase thereby leading to particle enlargement. The PDI of the prepared formulations reveals that there is a general trend towards uniform particle size distribution. The results also imply outlined that the concentration of IND drug does not influence the particle size distribution of the obtained IND loaded TPP-StNPs.

Variables Code Levels
1 2
Cross Linking agent X1 0.5 gm 1gm
Drug X2 20 mg 50 mg
Formula code X1 X2 Responses
Particle diameter PDI Zeta Potential Entrapment efficiency (%)a
F1 0.5 20 32.67 0.519 -29.1 63.72
F2 0.5 50 24.36 0.537 -19.5 78.98
F3 1 20 68.06 0.385 -7 54.05
F4 1 50 141.8 0.365 -5.15 43.36

aAverage of three experiments

Table 1: Experimental condition, design and responses of 22 factorial design preparation of IND nanoparticles.

The average particle size and Polydispersity Index (PDI) of TPPStNPs loaded with ACV drug determined by dynamic light scattering are shown in Table 2.

Variables Code Levels
1 2
Cross Linker X1 0.5 gm 1gm
Drug X2 20 mg 50 mg
Formula code X1 X2 Responses
Particle diameter PDI Zeta Potential Entrapment efficiency (%)a
F1 0.5 20 28.21 0.269 -12.2 66.07
F2 0.5 50 15.69 0.423 -35.9 74.24
F3 1 20 24.36 0.608 -10.6 80.48
F4 1 50 15.69 0.318 -7.67 91.31

aAverage of three experiments

Table 2: Experimental condition, design and responses of 22 factorial design preparation of ACV nanoparticles.

Table 2 discloses that the particle size for all batches of ACV loaded TPP-StNPs ranged between 15 and 28 nm. The polydispersity index (PDI) for all ACV loaded formulations as shown in Table 3 ranges from the range of 0.269 to 0.423 indicating a narrow and homogenous size distribution of the obtained nanoparticles, except for the ACV nanoparticle formulation (F3) prepared using 1 g STPP and 20 mg ACV drug where its PDI slightly exceeds the range (0.608) [4].

Response Variable Sum of squares dfa F value Prob>F
Particle Diameter X1 5839.2500 1b    
X2 1070.2712 1    
X1*X2 1070.2712 1    
PDI X1 0.0234 1    
X2 0.0000 1    
X1*X2 0.00361 1    
Zeta Potential X1 332.15 1    
X2 32.77 1    
X1*X2 15.02 1    
Entrapment efficiency (%) X1 512.796 1    
X2 5.220 1    
X1*X2 168.350 1    

adegrees of freedom.
bSignificance level based on 1 df; p<0.01.
Best formulation selected by the program JMP is X1; 0.5 and X2; 20
Desirability; 0.66094

Table 3: Analysis of variance (ANOVA) for a 22 Factorial design experiment for evaluation of variables’ effect on the IND formulations.

Zeta potential of IND and ACV loaded TPP-StNPs

Surface charge (zeta potential) of IND loaded TPP-StNPs was determined in triplicate by dynamic light scattering (DLS with detection angle of 90° and 25°C. Table 1 shows the zeta potential of IND loaded TPP-StNPs containing different concentration of STPP and IND drug.

It was found that the zeta potentials value for all samples of IND loaded TPP-StNPs are slightly negative and in the range of -5 and -29 mV. The average zeta potential value for nanoparticles (F3) prepared at 0.5 g and 20 mg for STPP and IND, respectively is -29.1 which is sufficiently high to ensure physical stability due to the electrostatic repulsion forces that would avoid aggregation.

Table 2 depicts the zeta potential for all batches of ACV loaded TPP-StNPs.

All of the prepared ACV loaded nanoformulations showed a relatively accepted zeta potential values with F2 showing a zeta potential of -35 mV. This indicates that the prepared drug loaded nanoparticles are expected to assume stability for a long time.

Calibration curves for IND and ACV drugs

The wavelength of maximum absorbance (λ max) of IND was found to be 264 and for ACV is 251 nm. Calibration curves for IND and ACV were assessed from the absorbance values at λmax of each of a series of drugs’ solutions containing different concentrations of each of the two drugs. The calibration curve was obtained for IND at 264 nm (R2 = 0.9958) as shown While the calibration curve for ACV was obtained at 251 nm (R2=0.9962).

Drug entrapment efficency (EE%) of IND and ACV loaded TPP-StNPs

The entrapment efficiency is the function of the characteristics of polymer, drug and surfactant, etc. The Entrapment Efficiency was determined by a spectrophotometric method (UV spectrophotometer). Entrapment efficiency of all four grades of IND formulations (F1, F2, F3 and F4) is depicted in Figure 1. Obviously, the entrapment efficiency values for these formulations range between 43 and 63% [7].

nanomedicine-nanotechnology-crosslinked

Figure 1: Drug entrapment efficiency of IND loaded crosslinked starch nanoparticles.

Figure 1 implies that the entrapment efficiency was maximum with the smallest particle size of the so obtained IND loaded TPP-StNPs (24 nm) as well as the higher zeta potential value (-29.1) when the concentration of STPP and IND drug were 1 g and 50 mg, respectively (F2). On the other hand, the entrapment efficiency was minimum with higher drug and STPP concentrations (F4). The particle size had a great influence on the IND entrapment where the smallest particle size of the so obtained nanoparticles have large surface area capable of catching more drug inside and in the outer sphere increasing the efficiency of IND loading for TPP-StNPs.

Entrapment Efficiency (E.E.%) of ACV loaded TPP-StNPs is deduced from formulations (F1, F2, F3 and F4) under investigation as shown in Figure 2. It is clear from the data that E.E% ranges between 66% - 91%. The data (Figure 2) concluded also that formulation F2 is more favorable when the particle size (15 nm), zeta potential (-35) and PDI (0.4) [16].

nanomedicine-nanotechnology-entrapment

Figure 2: Drug entrapment efficiency of ACV loaded crosslinked starch nanoparticles.

in vitro release of IND and ACV from TPP-StNPs

in vitro release of drug from the prepared nanoparticles an important requirement of successful transdermal therapy is that, a drug carried by a vehicle be able to reach the skin surface at an adequate rate and in sufficient amounts. This makes studying the release profile of drug from nanoparticles crucial in order to predict the behavior of the drug during its transdermal delivery.

in vitro release studies were performed using PBS at pH 5.5 by dialysis bag method using cellulose acetate membrane. Nanoparticles formula equivalent to 20 mg of drug was filled into a dialysis membrane bag and tied at both the ends and placed in a beaker containing 100 mL of PBS; temperature and speed were maintained at 37°C and 50 rpm, respectively, using shaking water bath. The drug loaded particles were placed in PBS at room temperature and samples were taken in particular time intervals and UV–vis spectrophotometer measurements were done and the released amounts were determined from a calibration curve

The drug release profile from the prepared nanoparticles can be divided into biphasic pattern: (i) initial burst period, during which the surface drug is dumped into the release medium; here it is taken as 4 h; (ii) slow release period, during which the drug is released at a steady slow rate.

Figure 3 shows the in vitro release of IND drug from the four formulas of the so prepared IND loaded TPP-StNPs containing different concentration of STPP and IND drug when the concentration of starch and surfactant are kept constant. The in-vitro release data of F1, F2 and F3 are displayed in another Figure. The initial values of IND release of F1, F2 and F3 and F4 in 60 min are 4.65%, 7%, 3.61% and 4.5% respectively.

nanomedicine-nanotechnology-absorbance

Figure 3: In vitro release of IND drug at absorbance 251 nm in PBS (pH 5.5).

The responses of these formulations are summarized in Table 3. The variation in the crosslinking agent concentration together with the drug concentration resulted in different drug release rates and profiles [20].

The drug release rate was lower with low concentrations of the crosslinking agent whereas, formulas F3 and F4 with high crosslinking agent concentration showed a burst and uniform release profile i.e. they followed zero order release pattern (F3 and F4 with R2 of 0.9627 and 0.9449, respectively). It was also noted that the amount of drug released from the four formulations was incomplete during the eight hours period of the experiment. The effect of increasing the drug dose on the release rate was insignificant.

The optimum formulation selected by the JMP® software was composed of 20 mg IND and 0.5 g crosslinking agent. The calculated desirability factor offered for the formulation was 0.66094. No significant deviations between theoretical and experimental values of tested responses were found [27].

Figure 4 shows the in vitro release of ACV from TPP-StNPs loaded with ACV drug. The release was observed for for formulations containing different amount of STPP and drug (ACV). The ACV drug release exhibits a very slow initial burst that lasted for 60 minute at which 4.76, 2.66, 4.38 and 5.22% of the drug content was released from TPP-StNPs.

nanomedicine-nanotechnology-release

Figure 4: In vitro release of ACV drug at absorbance 264 nm in PBS (pH 5.5).

A sustained release of the ACV from F1 was observed indicating the encapsulation of ACV within the nanostructures. Since the initial burst effect is very small or was not observed at all tested samples, we can conclude that no initial burst effect was observed for F2 proving that the ACV was not weakly adsorbed onto TPP-StNPs surface.

A significant enhancement in encapsulation of these molecules was observed in the nanoparticles. Nanoparticles were successfully characterized with respect to size, surface morphology and crystallinity of entrapped protein. The release of protein molecules was significantly sustained from nanoparticles. HIP complexation and method of nanoparticles preparation did not affect the structure (secondary and tertiary structure) and activity of the entrapped protein molecules. Colloidal dosage forms have been introduced and widely investigated as drug delivery systems for both hydrophilic and hydrophobic molecules. Nanoparticulate based formulation approach has been verys uccessful for the delivery of small and large molecules [9].

The results of analysis of variance (ANOVA) of the factorial design are presented in Table 4 with a 22 design of experiment.

Response Variable Sum of squares dfa F value Prob>F
Particle Diameter X1 3.705 1b    
X2 112.254 1    
X1*X2 3.706 1    
PDI X1 0.0136 1    
X2 0.00462 1    
X1*X2 0.04928 1    
Zeta Potential X1 222.457 1    
X2 107.848 1    
X1*X2 177.289 1    
Entrapment efficiency (%) X1 247.747 1    
X2 90.250 1    
X1*X2 1.78 1    

adegrees of freedom.
bSignificance level based on 1 df; p<0.01.
Best formulation selected by the program JMP is X1; 0.5 g and X2; 50 mg.
Desirability; 0.6480

Table 4: Analysis of variance (ANOVA) for a 22 Factorial design experiment for evaluation of variables’ effect on the ACV formulations.

The optimum formulation was selected by the JMP® software and was found to be composed of 50 mg drug and 0.5 g crosslinking agent. The calculated desirability factor offered for the formulation was 0.6480. No significant deviations between theoretical and experimental values of tested responses were found.

Based on all the results reported above, the optimum IND formulation selected by the JMP® software is composed of 20 mg IND and 0.5 g STPP. The calculated desirability factor offered for the formulation is 0.66094. However, the optimum ACV formulation selected by the JMP® software was found to be composed of 50 mg ACV and 0.5 g TTP. The calculated desirability factor offered for the formulation was 0.6480.

TEM of IND and ACV loaded TPP-StNPs

Considering the results of IND loaded TPP-StNPs pertaining to particle size and entrapment efficiency, batch F1 was chosen for further studies as it has smaller particle size (32.67 nm) than the other batches with higher entrapment efficiency (63.72 %). The zeta potential of best formulation has a value of -29.1 mv.

On the other hand, the F2 for ACV loaded TPP-StNPs was chosen as the best formulation since it has the smallest particle size (15.69 nm), the higher zeta potential value (-35.9) as well as higher entrapment efficiency (74.24 %) compared with the other formulation.

Figures 5a and 5b shows the TEM micrograph of the selected formulations of IND and ACV loaded TPP-StNPs. As can be seen, the TEM micrographs speak of the formation of spherical nanoparticles with smallest size and smooth surface [1].

nanomedicine-nanotechnology-nanoparticles

Figure 5: TEM micrograph of IND and ACV loaded crosslinked starch nanoparticles.

XRD of IND and ACV loaded TPP-StNPs

Mechanical properties of polymers can be altered by the degree of crystallinity. For instance, because of the uniform arrangement of its chains within the lattice structure, a crystalline polymer will degrade more slowly than an amorphous one. However, crystalline polymers are brittle and usually less suited for drug delivery applications. Further, amorphous polymers possess poor mechanical toughness. For that reason, polymers used in drug delivery are usually a mixture of crystalline and amorphous forms, as is the case in current study. The X-ray diffractograms of pure drug IND and promising formulations are shown in Figure 6.

nanomedicine-nanotechnology-nanoparticles

Figure 6: XRD (a) pure IND, (b) crosslinked starch nanoparticles loaded with IND drug.

The diffractogram of IND showed characteristic sharp intensity diffraction peaks at 2θ values of 10.05°, 11.51°, 12.68°, 16.58 °, 19.52°, 21.84°, 23.10°, 26.54° and 29.21° which reflect the crystalline nature of drug (Figure 6a).

As can be seen in Figure 6b, X-ray diffraction shows two amorphous halos between 10° and 35° (2θ) as observed for the amorphous polymer. This result suggests a reduced degree of crystallinity of the drug in this formulation. Moreover, the absence of characteristic peaks of IND crystallinity indicates a quite successful IND encapsulation process, regardless of the amount of TPP-StNPs used.

The X-ray diffractograms of pure drug ACV and promising formulation are shown in Figure 7. The diffractogram of ACV showed characteristic sharp intensity diffraction peaks at 2θ values of 10.05°, 11.51°, 12.68°, 16.58°, 19.52°, 21.84°, 23.10°, 26.54° and 29.21° which reflect the crystalline nature of drug.

nanomedicine-nanotechnology-starch

Figure 7: XRD of (a) pure ACV drug, (b) crosslinked starch nanoparticles loaded with ACV drug.

The XRD of nanoparticle after incorporation of pure ACV into the starch nanoparticles cross-linked with STPP displays diffraction peaks at respective 2θ values of pure ACV although their relative intensities were reduced or there was slight shift in their peaks, suggesting reduced degree of crystallinity of drug in this formulation.

FT-IR of IND and ACV loaded TPP-StNPs

The FTIR spectra of IND and the IND-loaded TPP-StNPs are presented in Figure 8. In the IND spectrum shows characteristic peaks at 3016.12 cm–1 (aromatic C-H stretching), 2917.77 cm–1 (C-H stretching vibrations), 1693.19 cm–1 (C = O stretching vibrations), 1690.3 cm-1 is assigned to benzoyl vibration. 1224.92 cm–1 (asymmetric aromatic O-C stretching), 1064.51 cm−1 (symmetric aromatic O-H stretching).

nanomedicine-nanotechnology-innert

Figure 8: FT-IR of pure IND drug, innert nanoparticles and IND loaded nanoparticles.

The FT-IR of IND loaded cross-linked starch nanoparticles show the distinct peaks of pure IND with a slight shift, demonstrating that the drug was incorporated into the particles and there is no possible chemical interaction between cross-linked starch nanoparticle and IND drug.

On the other hand, FT-IR spectra of ACV and ACV loaded TPP-StNPs are shown in Figure 9. ACV exhibits absorption peaks at 3438.45, 1630.51, 1607.37, 1387.53, 1306.53, 1228.32 and 1187.89 cm-1. Peaks at 3438.45 may be due to –OH stretching and those at 1630.51 and 1607.37 cm-1 may be assigned to C=O stretching. Peak observed at 1387.53 cm-1 is due to C-N stretching and peaks in the range of 1228.32 to 1187.89 cm-1 may be due to N-H stretching [11].

nanomedicine-nanotechnology-polymer

Figure 9: FT-IR of pure ACV drug, innert polymer nanoparticles and ACV loaded nanoparticles.

The FTIR of ACV loaded TPP-StNPs corresponds to the superimposition of the spectra of ACV with no significant shift in the major peaks corresponding to ACV. The spectral data indicates no possible interaction between ACV and cross-linked starch nanoparticles.

DSC of TPP-StNPs loaded with IND and ACV drug

The thermal behaviour of TPP-StNPs loaded with IND and ACV drugs in comparison with thermograms of pure IND and ACV is illustrated in Figures 10 and 11. The DSC thermogram of pure IND exhibits a sharp endothermic peak at 161.41°C corresponding to its melting point, indicating its crystalline nature. TPP-StNPs loaded with IND shows endothermic melting peak at 115.84°C. This indicates that the drug is present in non-crystalline state in the nanoparticle formulation. Alternatively, this result might be explained in terms of formation of an amorphous form of drug. It is known that transforming the physical state of the drug to amorphous state leads to a high-energy state and high disorder, resulting in enhancing solubility and faster dissolution.

nanomedicine-nanotechnology-polymer

Figure 10: DSC of pure IND drug, innert polymer nanoparticles (crosslinked starch nanoparticles) and IND loaded nanoparticles (IND loaded crosslinked starch nanoparticles.

nanomedicine-nanotechnology-drug

Figure 11: DSC of pure ACV drug, innert polymer nanoparticles (crosslinked starch nanoparticles) and ACV loaded nanoparticles (ACV loaded crosslinked starch nanoparticles.

On the other hand, DSC curves obtained for pure drug (ACV) and TPP-StNPs loaded with ACV drug are shown in Figure 11. The DSC thermogram of ACV is characterized by characteristic endothermic peaks at 96.88°C, 176.05°C and sharp endothermic peak at 246.53°C which are near to its melting point 253°C. In the DSC curve of TPPStNPs loaded with ACV displays small peaks, which appear in the temperature range of 50-130°C, and these peaks correspond to the evaporation of water. In addition, the endothermic peaks at 96.88°C, 176.05°C for ACV disappears after ACV is incorporated into TPPStNPs.

Furthermore, no sharp endotherm peak is seen at 246.53°C. This shows that the crystallinity of the drug reduces significantly in the nanoparticles. The change in endothermic peaks of ACV after loading confirms that the ACV drug is present in the amorphous phase and perhaps homogeneously dispersed in TPP-StNPs.

The modified starch nanoparticles were cross-linked with sodium tripoly phosphate for better stabilization. Morphology of the grafted starch nanoparticles was studied by SEM and AFM. Drug-loading and the controlled release of the drug from the nanoparticles was studied using indomethacin as model drug.

Conclusion

Polymeric nanoparticles which posess a better reproducibility and stability profile than other carrier like microparticles have been studied as alternative drug carrier. The results obtained indicated that (a) the best formula for IND loaded starch nanoparticles with small spherical size and PDI, high zeta potential, high entrapment efficiency and controlled release was at 0.5 g STPP and 20 mg IND. On the other hand, the best formula for ACV loaded starch nanoparticles was at 0.5 g STPP and 50 mg ACV. (b) FT-IR, XRD and DSC indicated that there is no chemical interaction between TPP-StNPs and drug (IND or ACV). The results obtained could be attributed to the dependence of the in vitro release rate of IND and ACV on the viscosity of starch when native starch have higher holding capacity and entrapment efficiency for loading the drugs under investigation. The polyether–polyurethane crosslinked with SNPs nanocomposite film exhibited thermo-responsive electrical conductivity

References

Citation: El-Feky GS, El-Rafie MH, El-Sheikh MA, El-Naggar ME, Hebeish A (2015) Utilization of Crosslinked Starch Nanoparticles as a Carrier for Indomethacin and Acyclovir Drugs. J Nanomed Nanotechnol 6: 254.

Copyright: © 2015 El-Feky GS, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.