1Department of Pharmaceutics, PES’ Modern College of Pharmacy, Savitribai Phule Pune University, Sector no. 21, Yamunanagar, Nigdi, Pune 411044, Maharashtra, India
Email: ujudesai@gmail.com
Received: 06 Nov 2018, Revised and Accepted: 09 Jan 2019
ABSTRACT
Objective: The main purpose of the study was to develop niosomal in situ gel of prednisolone sodium phosphate (PSP) with increased bioavailability (enhanced permeation) and sustained action (drug retention at the target site).
Methods: Using different ratios of span 60 and cholesterol (chol), niosomes were prepared by thin film hydration method and optimized by evaluating different parameters like drug content, entrapment efficiency, particle size and in vitro drug diffusion study. The niosomal pellets were further incorporated in in situ gel, prepared by the cold method and further optimized by parameters like gelling parameters, mucoadhesive strength and in vitro, in vivo drug release study.
Results: The optimized niosomal formulation containing span 60 and chol in equal proportion (1:1) showed better drug content (DC) i.e. 86.3±0.39% and entrapment efficiency (EE) i.e. 83.4±0.22 with vesicle size of 465±0.24 nm. The in vitro drug diffusion study indicated t90 value of 490 min thus proving sustained action of the formulation. The optimized in situ gel containing poloxamer 407 (P407) and poloxamer 188 (P188) in the ratio of 1:2.7 showed gelation temperature at 37 ⁰C (physiological temperature of the body) and t90 value of 10 h thus depicting sustained action. The increased area under curve (AUC) value by 1.75 folds proved increased bioavailability of the drug.
Conclusion: Thus sustained drug delivery with increased bioavailability was designed for prednisolone sodium phosphate for the treatment of ocular inflammation.
Keywords: Niosomes, in situ gel, Sustained drug release, Ocular, Prednisolone sodium phosphate
© 2019 The Authors. Published by Innovare Academic Sciences Pvt Ltd. This is an open-access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
DOI: http://dx.doi.org/10.22159/ijap.2019v11i2.30667
Poor bioavailability of ocularly administered drug can be attributed to factors which include tear dynamics (blinking reflex and tear turnover) [1], non-productive absorption, transient residence time in the cul-de-sac, relative impermeability through corneal epithelial membrane, rapid precorneal elimination, drainage by gravity, frequent installation, enzymatic metabolism, nasolacrimal drainage, and the absence of controlled release [2-8]. Due to these physiological and anatomical constraints, a very small fraction of the administered drug (approx.1% or even less) of the instilled dose is available for ocular absorption [9-10]. Frequent dosing of drugs thus becomes a necessity to achieve the therapeutic concentration at the targeted site. This often results in the corresponding increase in local and systemic side effects. The high dose and dosing frequency cause unavoidable systemic side effects like stomach upset and disturbed GI motility [11]. The systemic route can overcome this but due to the presence of the blood-aqueous barrier and blood-retinal barrier, it ultimately leads to high loading dose at the target site. Various approaches, like viscosity enhancement, use of mucoadhesive, particulate drug delivery, vesicular drug delivery, prodrugs, and other controlled systems like ocuserts, iontophoresis, bioadhesive gels, ocular insert, contact lenses etc. are being explored [3,12-14].
Vesicular systems (niosomes and liposomes) can act as drug reservoirs. Niosomes offers advantages like no variation in the purity of surfactants, cost-effective, chemically stable, low toxicity because of their non-ionic nature, flexibility in the structure which helps them to form micelles and can improve the performance of the drug via better availability and controlled delivery at a particular site. Niosomes are capable of encapsulating both hydrophilic and lipophilic drugs and can serve as effective drug carriers [15]. However, nonionic surfactant vesicles may promote drug absorption by preferentially modifying the permeability characteristics of the conjunctival and scleral membranes as surfactants in lower concentration are used as penetration enhancers [16, 17].
The in-situ gel is drug delivery system that is in sol form before administration in the body, but undergo gelation with the change in physiological conditions, to form sol to gel (from the lat. gelu—freezing, cold, ice or gelatus—frozen, immobile). Vesicular systems in combination with mucoadhesive polymers show a controlled as well as a prolonged effect [18, 19]. Prolonging the drug contact time with the surface of the eye can also increase their penetration through the cornea, hence increasing the accessibility of the drug to aqueous humor [20-22]. This can be accomplished by use of bioadhesive polymer which helps the drug to remain adhered to eye surface by forming a noncovalent bond for a long period of time thus preventing the drug from undergoing nasolachrymal drainage. This will reduce the amount of drug (dose of the drug) and the dose frequency necessary for therapeutic effect. A reduction in dose will help to reduce the incidence of systemic side-effects.
PSP is corticosteroid drug effective in the treatment of steroid responsive inflammatory conditions such as allergic conjunctivitis, acne rosacea, superficial punctate keratitis, herpes zoster keratitis, iritis, cyclitis etc. PSP decreases inflammation by suppressing migration of polymorphonuclear leukocytes and reversing increasing capillary permeability for the treatment [23]. The major drawback of steroid treatment is the side effects associated with it if used over a long period of time.
The aim of the present investigation was to achieve the increased permeation of PSP by loading in niosome vesicles and improve its retention time at the particular site of action by incorporating the drug-loaded niosome into in situ gel which significantly reduces dosage frequency hence increase patient compliance.
Materials
PSP was obtained from Sai Life Sciences, Pune. Span 60 from Loba chemicals, chol from Analab fine chemicals, P407and P188 from BASF Chemicals were procured. All the chemicals used were of analytical grade.
Preparation of niosomes
Ethanol injection method
Niosomes containing PSP was prepared by modified ethanol injection method. Surfactant and chol in different ratios were dissolved in methanol. The resulting solution was slowly injected using microsyringe at a rate of 0.25 ml/min into 15 ml of Phosphate buffer (PBS) pH 7.4 containing PSP. The solution was stirred continuously on a magnetic stirrer (Remi, 2MLH) and the temperature was maintained above 60 °C. Stirring continued for 1-1.5 h. Vaporization of solvent takes place, resulting in spontaneous vesiculation and formation of unilamellar spherical niosomes [24].
Thin film hydration
Accurately weighed quantity of surfactant and chol in different molar ratios (table 1) were dissolved in chloroform and methanol mixture in a round bottom flask. The solvent mixture was evaporated in a rotary flash evaporator (Trident labotech, Thane) under a vacuum of 20 inches of Hg at a temperature of 25±2 °C and the flask rotated at 100 rpm until a smooth, dry lipid film was obtained. The film was hydrated with 10 ml of PBS pH 7.4 containing 25 mg prednisolone sodium phosphate drug for 45 min at 60 °C with gentle shaking on a water bath. The niosomal suspension was further stored at 2-8 °C for 24 h [24].
Batches of niosomes were prepared to vary in the method of preparation (table 1), the combination of surfactants (table 2), an individual surfactant in different concentrations (table 3), selection of surfactant grade (table 4) and the ratio of chol and span 60 (table 5) respectively. Optimization was carried out on the basis of DC, EE, vesicle size and in vitro drug diffusion study.
Preparation of niosomal in situ gel
The ‘‘Cold method’’ was adopted for preparing poloxamer-based gels. The required amounts of P407 and P188 for each formulation were carefully weighed and placed in a flat bottomed vial. After the addition of the required amount of 0.9% NaCl solution for isotonicity, the vial was placed at 4 ⁰C until P407 and P188 were dissolved completely and a clear solution was obtained. In the study, P407 and P188 concentrations in sols or gels were expressed as the weight percentage (% w/v). The equivalent amount of niosomal pellets obtained from the freeze-drying process was added into the gel formulation along with 100 mg of the synthesized polymer [25] and benzalkonium chloride (0.01%) to form final formulation of niosomal in situ gel. Preliminary blank batches were prepared without niosomes and bioadhesive polymer to find out the ratio of P407 and P188 exhibiting gelation temperature near to 37 ⁰C [26].
Evaluation of niosomes
Drug content
In 1 ml of niosomal buffer solution, 2 ml methanol was added and further volume was made up by distilled water. Addition of methanol cause breakdown of niosomes and hence drug could freely get dissolve in a solvent. Each of this solution was further diluted according to the requirement by distilled water. Absorbance was measured on UV-visible spectrophotometer (Shimatzo UV visible 1650, Japan) at 247 nm [24]. Drug content was determined by using the formula
Table 1: Composition of trial batches for method selection
Batch code | M1 | M2 | M3 | M4 | M5 | M6 | M7 |
Chol (mg) | 25 | 25 | 25 | 25 | 25 | 25 | - |
Span 60 (mg) | 25 | - | - | 25 | - | - | - |
Tween 20 (mg) | - | 25 | - | - | 25 | - | - |
Tween 80 (mg) | - | - | 25 | - | - | 25 | - |
Span 80 (mg) | - | - | - | - | - | - | 25 |
Methanol (ml) | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
CHCl3 (ml) | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
Drug (mg) | 25 | 25 | 25 | 25 | 25 | 25 | 25 |
Buffer (ml) | 7.5 | 7.5 | 7.5 | 7.5 | 7.5 | 7.5 | 7.5 |
Technique | Ethanol injection method | Thin film hydration technique |
Table 2: Composition of trial batches for combination surfactants
Batches | C1 | C2 | C3 | C4 | C5 | C6 |
Chol (mg) | 25 | 25 | 25 | - | - | - |
Span 60 (mg) | 12.5 | - | - | 12.5 | 12.5 | - |
Span 80 (mg) | 12.5 | 12.5 | - | - | - | 12.5 |
Tween 20 (mg) | - | 12.5 | 12.5 | 12.5 | - | - |
Tween 80 (mg) | - | - | 12.5 | - | 12.5 | 12.5 |
Methanol (ml) | 1 | 1 | 1 | 1 | 1 | 1 |
CHCl3 (ml) | 4 | 4 | 4 | 4 | 4 | 4 |
Drug (mg) | 25 | 25 | 25 | 25 | 25 | 25 |
Buffer (ml) | 7.5 | 7.5 | 7.5 | 7.5 | 7.5 | 7.5 |
Table 3: Composition of trial batches for shortlisting surfactant
S1 | S2 | S3 | S4 | |
Chol (mg) | 25 | 25 | 25 | - |
Span 60 (mg) | 25 | - | - | - |
Tween 20 (mg) | - | 25 | - | - |
Tween 80 (mg) | - | - | 25 | - |
Span 80 (mg) | - | - | - | 25 |
Methanol (ml) | 1 | 1 | 1 | 1 |
CHCl3 (ml) | 4 | 4 | 4 | 4 |
Drug (mg) | 25 | 25 | 25 | 25 |
Buffer (ml) | 7.5 | 7.5 | 7.5 | 7.5 |
Table 4: Composition of trial batches for selection of surfactant grade
Batches | CS1 | CS2 | CS3 | CS4 | CS5 | CSS1 | CSS2 | CSS3 | CSS4 | CSS5 |
Chol (mg) | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 |
Span 60 (mg) | 25 | 50 | 75 | 100 | 125 | - | - | - | - | - |
Span 80 (mg) | - | - | - | - | - | 25 | 50 | 75 | 100 | 125 |
Methanol (ml) | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
CHCl3 (ml) | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
Drug (mg) | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 |
Buffer (ml) | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 |
Chol: surfactant ratio | 1:1 | 1:2 | 1:3 | 1:4 | 1:5 | 1:1 | 1:2 | 1:3 | 1:4 | 1:5 |
Table 5: Composition of trial batches for selection of ratio between chol and surfactant
Batches | CS6 | CS7 | CS8 | CS9 | CS10 | CS11 | CS12 | CS13 | CS14 | CS15 | CS16 | CS17 |
Chol (mg) | 25 | 25 | 25 | 25 | 25 | 50 | 62.5 | 75 | 87.5 | 150 | 200 | 250 |
Span 60 (mg) | 150 | 175 | 200 | 225 | 250 | 25 | 25 | 25 | 25 | 150 | 200 | 250 |
Methanol (ml) | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
CHCl3 (ml) | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
Drug (mg) | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 |
Buffer (ml) | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 |
Chol: Surfactant ratio | 1:6 | 1:7 | 1:8 | 1:9 | 1:10 | 2:1 | 2.5:1 | 3:1 | 3.5:1 | 1:1 | 1:1 | 1:1 |
Entrapment efficiency
Prepared PSP niosomes were separated from the unentrapped drug by centrifugation at 2750 rpm for 60 min using the cooling centrifuge. Cooling centrifuge (Laby instruments, India) was used as niosomes are stable and stored at the refrigerated condition that is at 2-8 ⁰C. The absorbance of the supernatant was taken after appropriate dilution at 247 nm. Settled pellets were dispersed in distilled water to get a clear solution. After appropriate dilutions, absorbance was recorded [27]. The entrapment efficiency was calculated through the following relationship,
Vesicle size distribution
The average vesicle size of niosomes was measured by the method of laser light diffraction using Nanophox NX0088. Prior to measurements, about 50 mg of each sample was dispersed with 100 ml of hexane and signal to noise ratio was measured in order to eliminate error if any. The vesicle size distributions were estimated by setting the intensity of the scattered light at a wavelength of 750 nm and the scattering angle (θ) of 90 [26].
In vitro release study
Drug release from niosomes was studied using a dialysis method. Dialysis bags were soaked before use in distilled water at room temperature for 12 h to remove the preservative, followed by rinsing thoroughly in distilled water. In vitro release of PSP from niosomes was conducted by dialysis in a dialysis sac made up of a cellophane membrane (Sigma-Aldrich) with 100 ml of PBS (pH 7.4) at 37 °C. Two ends of the dialysis sac were tightly bound with threads. The sac was hung inside a beaker with the help of a glass rod so that the portion of the dialysis sac with the formulation dipped into the buffer solution. The beaker was kept on a magnetic stirrer (Remi, 2MLH) and stirring was maintained at 100 rpm at 37 °C with thermostatic control. Samples were collected every at 15 min, 30 min, 45 min, 1 h, 2 h, 3 h and further 1hr interval over a period of 6 h and assayed spectrophotometrically for drug released and the sampled volume of buffer maintained at the same temperature. An equal volume of fresh release medium was replaced at the same time intervals. The diffusion data were analyzed for calculating the amount of drug released and percentage drug released at different time intervals [25].
Release kinetics of drug
The kinetics of the drug release was evaluated by the model fitting method using PCP Disso v3 software and the model with the highest correlation coefficient amongst them was considered to be the best model for the particular formulation
Fourier transform infrared spectroscopy (FTIR)
The infrared spectrum of prednisolone sodium phosphate was determined on Fourier Transform Infrared Spectrophotometer (FT/IR 4100, Jasco) using potassium bromide (KBr) dispersion method. The baseline correction was done using dried KBr. The samples to be analyzed and KBr were previously dried in the oven for 30 min and mixed thoroughly in 1:300 (sample: KBr) ratio in a glass mortar. These samples were then placed in a sample holder and scans were obtained at a resolution of 2 cm-1 from 4000 to 400 cm-1[28].
Differential scanning calorimetry (DSC)
DSC measurements were performed on a differential scanning calorimeter containing an intra-cooler (DSC Mettler STAR SW 9.20, Switzerland). Nitrogen gas was purged (50 ml/min) to maintain an inert atmosphere. All accurately weighed samples (about 5-10 mg of samples) were placed in a sealed aluminum pan, and the samples were heated under nitrogen gas flow (20 ml/min) at a scanning rate of 10 °C per min from 40 to 340 °C. An empty aluminum pan was used as reference [29].
Optical microscopy
Optical microscopy of the drug sample was carried out by using a Digital Microscope (Motic). A very slight quantity of the niosomal sample solution was spread on the glass slide. This slide was focused under various magnification lenses and the images were captured [30].
Zeta potential determination
Niosomal dispersion (0.5 ml) was diluted to 50 ml with distilled water in a glass beaker with constant stirring. Zeta-potential of the resulting suspension was determined using the Zetasizer (model: Nano ZS, Malvern Instruments, Westborough, MA, USA) Electrophoretic mobility (μm/s) was measured using small volume disposable zeta cell and converted to zeta potential by inbuilt software using Helmholtz–Smoluchowski equation [26].
Polydispersity index (PDI)
The PDI determination was using photon correlation spectroscopy with in-built Zetasizer (model: Nano ZS, Malvern Instruments, Westborough, MA, USA) at 633 nm [26]. The polydispersity index was calculated by
Transmission electron microscopy (TEM) analysis
TEM (Philips CM 200 super twin stem microscope) was used to determine the morphology of the niosomal vesicles. Few drops of the optimized niosomal formulation (CS17) were deposited on a carbon-coated copper grid and examined under a transmission electron microscope [31].
Evaluation parameters in situ gel
Appearance
The appearance of the gels was examined for clarity. The clarity of various formulations was evaluated by visual inspection under the black and white background.
pH
The pH of each formulation was examined using a digital pH meter (Equip tronics, EQ610). The pH meter was first calibrated using buffer solutions of pH 4 and pH 7. Then gel was taken in a beaker and the pH was measured [24].
Drug content of in situ gel
In this study, each formulation (1 ml) was taken in a 100 ml volumetric flasks diluted with distilled water up to the mark. After suitable dilutions, the amount of drug was measured in the formulation by using ultraviolet spectroscopy at 246 nm [24].
Gelation time
The Tsol–gel of the formulation was determined by test tube inversion method. Niosomal in situ gel (2 ml) was transferred to a test tube and sealed with paraffin. This test tube was placed in the constant temperature water bath at 35±1 ⁰C. The sample was examined for gelation [24].
Gelation temperature and gel melting temperature
The Tsol–gel of the formulation was determined by test tube inversion method. Niosomal in situ gel (2 ml) was transferred to a test tube and sealed with paraffin. This test tube was placed in the constant temperature water bath (Equitron). The temperature of the water bath was increased in increments of 2 ⁰C and left to equilibrate at each new temperature. However, in the region of Tsol–gel temperature was raised slowly in the increments of 0.5 ⁰C. The formulation was examined for gelation which was said to have occurred when the meniscus would no longer move upon tilting through 90⁰. Measurements were done in triplicate [32].
The obtained temperature is said to be T1. After attaining the temperature T1, further heating of gel causes liquefaction of gel and form the viscous liquid and it starts flowing, this temperature is noted as T2 i.e. gel melting temperature.
Gelling capacity
Determination of in vitro gelling capacity was done by a visual method. Colored solutions (1% Congo red solution in water) of in-situ gel were prepared. The in vitro gelling capacity of prepared formulations was measured by placing 5 ml of the gelation solution (pH 7.4 PBS) in a glass test tube and maintained at 37±1 °C temperature. One ml of colored formulation solution was added with the help of pipette. As the colored solution comes in contact with gelation solution, it was immediately converted into the stiff gel-like structure. The gelling capacity of the solution was evaluated on the basis of the stiffness of the formed gel and time period for which the formed gel remains as such. The in vitro gelling capacity was graded in two categories on the basis of gelation time and time period for which the formed gel remains as such [33].
Texture analysis
Texture analysis of the prepared gel formulation was done by using Brookefield texture analyzer CT3. The formulations were evaluated for the following parameters.
Gel strength
The gel strength, which is an indication of the viscosity of the gel at physiological temperature, was measured by measuring the force required for depression of gel at 37 ⁰C temperature [32].
Mucoadhesive strength
The mucoadhesive potential of each formulation was determined by measuring a force required to detach the formulation from the conjunctival membrane. The mucoadhesive force expressed as the detachment stress in dynes/cm2 was determined from the minimum weight that detached the mucosal tissue from the surface of each formulation [34, 35].
Where,
m = Weight required for detachment in g
g = acceleration due to gravity (980 cm/s2)
A = area of mucosa exposed (cm2)
Spreadability
The spreadability was evaluated by measuring the distance to which the 10 ml formulation would spread under the influence of specified force applied on gel [24].
Viscosity measurement
The viscosity of prepared gel formulation was measured by using Brookefield DV-II pro-plus viscometer (Brookefield engineering Labs Inc. Middleboro, USA) equipped with a helipath stand and T bar spindles. Viscosity measurements were made at variable temperature and variable shear rate. For temperature dependent study, the formulation was subjected to constant shear rate at different temperatures from 25 to 40 ⁰C. During this testing, the temperature was raised gradually by 1 ⁰C and the viscosity of the sample was measured after attaining the set temperature. Measurements were done in triplicate. Steady shear sweep test was carried out by measuring the viscosity at the constant temperature of 25 ⁰C and 37 ⁰C but varying the rotation speed of the spindle from 10 to 100 rpm [32].
In vitro drug diffusion study
In vitro release studies were carried out using Franz diffusion cell and the temperature was adjusted to 37±0.5 ⁰C. The prehydrated dialysis membrane (cellophane membrane) was used for the study. Samples were withdrawn at periodic intervals of 0.5,1,2,3,5 and 6 h and replaced with fresh simulated tear fluid to maintain sink conditions. The drug content was analyzed using UV-Visible Spectrophotometer at 247 nm using simulated tear fluid as blank [25]. The apparent diffusion coefficient was calculated by using formula
Where ΔQ/Δt (μg/min) is the flux across the corneal tissue. A is the area of diffusion (cm2), Co (μg/cm3) is the initial concentration of drug in the donor compartment, and 60 is taken as the factor to convert min into second. The flux across the cornea was obtained from the slope of the regression line obtained from the linear part of the curve between the amount permeated (Q) vs time (t) plot.
Ex vivo diffusion study
Ex vivo drug diffused study was performed for the optimized formulation and marketed formulation by using 5 ml of Franz diffusion cells containing simulated tear fluid. The goat conjunctival epithelium was used for the study. 1 ml of sample was placed in the donor compartment and diffusion study was conducted for 6 h at 37±1 ⁰C. Sample (0.5 ml) was withdrawn at 1/2 h for an hour and then every 1 h and the same quantity of simulated tear fluid was added [26].
Pharmacodynamic study
Primary skin irritation test
Two healthy albino rabbits were used for the experiment. Animal husbandry was conducted in accordance with the "Guide for the Care and use of Laboratory Animals," National Institute of Health (NIH) publication No.85-23.
Methods: The backs of the animals were cleaned free of fur with a razor at least 4 h before application of the sample. One ml sample of the least irritant polymer obtained from ex vivo test was then applied to the particular site to an area of skin approximately 1" × 1" (2.54 × 2.54 cm) square. The sample applied site was covered with a nonreactive tape. Animals were returned to their cages. After a 24 h exposure, the tape was removed and the test sites were wiped with tap water to remove the test sample. At 24 and 72 h after the test sample application, the test sites were examined for dermal reactions in accordance with the Federal Hazardous Substance Act (FHSA)-recommended Draize scoring criteria (Appendix 1). Primary Irritation Index (P. I. I.) of the test sample was calculated following test completion [36].
In vivo draize eye irritation test
The Draize test was performed on white albino rabbits. In this test 100 μg test sample was placed into the lower cul-de-sac of rabbit’s right eye (1.5-2 kg, 13 w of age). The left eye was treated as a control. Rabbits’ eyes were observed periodically for redness, swelling and watering of the eye at 1 h, 4 h and every 24 h for 7 d. Three rabbits were used for the test substance. These parameters were calculated from the weighted score for each part of the rabbit eye such as (cornea, iris, and conjunctiva) and also from the sum of these scores. The maximal average Draize total scores (MAS) are classified into non-irritants (0<MAS<0.5), slight irritants (0.5<MAS<15), mild irritants (15<MAS<25), moderate irritants (25<MAS<50) and severe irritants (50<MAS) [37]. Approval of the institutional animal ethics committee (Approval No. MCP/IAEC/01/2016) was obtained prior to the commencing of the study from Modern College of Pharmacy, Nigdi, Pune.
Pharmacokinetic study
The drug pharmacokinetics in the aqueous humor on ocular instillation of the optimized formulation (B) and the drug solution was measured on male New Zealand albino rabbits. Rabbits (2–2.5 kg) were kept in cages kept in a light-controlled (alternate night and day cycles, 12 h each) air-conditioned chamber under controlled humidity (45±5%). All the experimental protocols were approved by the Institutional Animal Ethics Committee (IAEC) of Modern College of Pharmacy, Nigdi, Pune constituted under the guidelines of Committee for the Purpose of Control and Supervision of Experiment on Animals (CPCSEA, India) with protocol approval number MCP/IAEC/01/2016.
HPLC analysis of prednisolone sodium phosphate
The quantitative determination of PSP pharmacokinetics in the rabbit aqueous humor was based on a previously validated HPLC method [31]. A reversed-phase HPLC-UV method was used to measure PSP in aqueous humor. The HPLC (Water 600) apparatus consisted of quaternary (gradient system), HPLC pump (isocratic) equipped with 30 w high resolution UV/Vis detector DATA ACE Chromatography Software (version 1.50) integrator software and a Grace smart RP C18 column (4.6 mm × 250 mm and 10 mm particle size).
The mobile phase was prepared by mixing 2.5 ml of isopropanol with 0.2 ml of phosphoric acid and diluting with deionized water to 90 ml. The pH was adjusted to 3.0 with 1 M NaOH and then diluted further to 100 ml. The mobile phase was degassed and filtered through 0.45-micron nylon filters. The flow rate of the mobile phase was set at 1 ml/min. The detector was set at 246 nm (absorption maxima of PSP). The injection volume was 20 μl; run time was 10 min. The calibration concentration ranges for the standards were 0.050 to1.0 μg/ml. An internal standard 6-alpha-methyl-prednisolone was added to every standard and sample [38].
Study design
A two treatment, non-blind, randomized, parallel design was adopted to compare the drug pharmacokinetics in the rabbit aqueous humor following ocular instillation of the optimized niosomal in situ gel (B). Twelve rabbits were randomly divided into two groups. The niosomal in situ gel (B) was instilled (50 μl) in the lower conjunctival sac of the right eye of each rabbit belonging to the first group (Treatment A) while the same volume of the drug solution was applied to those of the second group (Treatment B). The rabbits were systemically anaesthetized with ketamine hydrochloride (intramuscular injection, 50 mg/kg). At 5 min intervals, the formulation was instilled into the eye using a micropipette. At 0.5, 1, 2, 4, and 8 h post-instillation, the rabbits were locally anaesthetized (benoxinate HCl, 0.4% w/v) and aqueous humor samples (0.15 ml) were withdrawn by anterior chamber paracentesis [39].
Aqueous humor samples were stored at −20 °C until HPLC analysis. Prior to HPLC analysis, the thawed aqueous humor samples were spiked with 6 alpha methylprednisolone. In order to precipitate the associated proteins, the spiked samples (0.1 ml) were vortex mixed (30 s) with acetonitrile (0.2 ml). Following centrifugation (15 min, 12000 rpm), the drug content in the organic phase layer was determined by HPLC.
Pharmacokinetic analysis
The graph of concentration of prednisolone sodium phosphate (mean±SD) in the rabbit aqueous humor was plotted against time. The maximum drug concentration (Cmax, in μg/ml) and the time to reach Cmax (Tmax, in h) were directly obtained from the individual subject curves. The mean residence time (MRT, in h) was estimated using graph prism® software. The area under the aqueous humor concentration-time curve (AUC, in μg/h/ml) was calculated using the trapezoidal rule method. The results were statistically evaluated, using one-way ANOVA, at P<0.05. The increase in the ocular drug bioavailability (folds) was estimated by dividing the AUC of the niosomal in situ gel (B) over that of the drug solution.
Sterility test
The formulation was sterilized by membrane filtration method and was incubated with different culture media like soybean casein digest medium and fluid thioglycate medium for a period of 14 d and observed for the presence of microbial growth if any [33].
Stability study
On the ICH, Harmonized Tripartite Guidelines on stability testing of new drug substance and product, fundamental recommendations are summarized.
For the drug substances intended for storage in a refrigerator are given in table 6.
Table 6: ICH guidelines for the drug substances intended for storage in a refrigerator.
Study | Storage condition | Time period |
Long term | 5 °C±3 °C | 12 mo |
Accelerated | 25 °C±2 °C/60% RH±5% RH | 6 mo |
In order to determine the stability of gels, the samples were kept in airtight glass vials packed by aluminum foil. The niosomal in situ gels were stored at 25 ⁰C±2 ⁰C/60%±5% RH for 6 mo [40]. These samples were evaluated for drug content, gelation temperature and physical characteristics. Samples were also stored at 5 °C±3 °C for 3 mo. These samples were also evaluated for drug content, gelation temperature, and physical characteristics.
Statistical analysis
The obtained data were analyzed using the one-way analysis of variance (ANOVA) test (P<0.05) was considered as an estimate of significance while evaluating the degree of difference between various formulations.
Optimization of niosomes on the basis of DC, EE and vesicle size
Method selection
Fig. 1: Graph of DC and EE of preliminary batches for method selection data expressed mean±SD (n=3)
The niosomes were prepared by two methods namely thin film hydration and ethanol injection method. It was observed that the DC and EE of niosomes prepared by thin film hydration method were significantly (p<0.05) higher than of niosomes prepared by the ethanol injection method (fig. 1). In addition to this, niosomes were also evaluated on the basis of their morphology and appearance by motic digital microscopy. Niosomes prepared by thin film hydration technique were spherical and uniform in size. Hence thin film hydration technique was selected for niosomes preparation. Similar results were obtained in salbutamol sulphate liposomes preparation by Honmane SM et al. 2014, where entrapment efficiency was higher for liposomes prepared by thin film hydration technique.
Combination of surfactants
Niosomes were evaluated for the combined effect of surfactants. By preparing niosomes using a single surfactant and in combination, DC and EE were calculated (fig. 2). It was observed that the use of surfactants in combination did not show a significant effect on DC and EE. The drug content and encapsulation efficiency depended on the HLB value of the mixture of surfactants used. The higher HLB of the mixture of surfactants with respect to individual surfactant reduced its potential in solubilizing and thus entrapping the PSP molecule. The results coincide with the previous study by Taymouri S et al. 2016where effect of different surfactants on physical properties of carvedilol nanoniosomes was studied. Hence single surfactant niosomes were prepared instead of a combination to prevent interaction.
Fig. 2: Graph of DC and EE of trial batches for the combination of surfactants data expressed mean±SD (n=3)
Selection of surfactants
Fig. 3: Graph of DC and EE of trial batches for selection of surfactants data expressed mean±SD (n=3)
Four surfactants used during formulation were span 60, span 80, tween 20 and tween 80 to prepare niosomes. It was observed that use of spans showed significantly (p<0.05) higher DC and entrapment efficiency over tweens (fig. 3). The probable reason behind this is the Hydrophilic-Lipophilic Balance (HLB) value. HLB is a dimensionless parameter, which is the indication of the solubility of the surfactant molecule. Surfactants with HLB between 4 and 8 can be used for the preparation of vesicle [41]. Hydrophilic surfactants with an HLB value ranging from 14 to 17 are not suitable to form a bilayer membrane due to their high aqueous solubility. However, with the addition of an optimum level of chol, niosomes are indeed formed from Tween 20 (HLB value = 16.7). Spans possess lower HLB which makes the drug entrapment of steroid drug moiety more efficient. The result was found to be in agreement with previous data reported by Shaji J et al. 2016 and Taymouri S et al. 2016 which indicated that lower the HLB of the surfactant; the higher will be the entrapment efficiency.
Selection of surfactant grade
Table 7: DC, EE, and vesicle size for the selection of surfactant grade
Batch code | DC (%)* | EE (%)* | Vesicle size (nm)* |
CS1 | 60.16±0.12 | 72.4±0.23 | 423±0.03 |
CS2 | 51.59±0.16 | 86.95±0.36 | 401±0.43 |
CS3 | 57.98±0.47 | 86.06±0.41 | 494±0.52 |
CS4 | 41.96±0.14 | 90±0.33 | 485±0.16 |
CS5 | 59.33±0.05 | 91.54±0.16 | 469±0.38 |
CSS1 | 54.4±0.27 | 87.19±0.36 | 356±0.26 |
CSS2 | 61.29±0.62 | 91.31±0.22 | 407±0.14 |
CSS3 | 42.12±0.29 | 80±0.43 | 396±0.49 |
CSS4 | 43.47±0.32 | 62.33±0.62 | 404±0.04 |
CSS5 | 55.57±0.38 | 81.61±0.04 | 375±0.55 |
*(mean±SD, n=3)
As discussed in the selection of surfactant section, HLB value plays an important role in the formation of stable niosomes. The hydrophilic-lipophilic balance (HLB) system, which is a measure of the relative contributions of the hydrophilic and lipophilic regions of the surfactant molecules, is more commonly used as an indicator on potential niosomes formation. The HLB value of span 60 is 4.7 and HLB value of span 80 is 4.3 respectively. So considering the HLB value, Span 80 having lower HLB value compared to span 60 must be able to incorporate steroid moiety more efficiently than span 60. But there is an exception. Sorbitan monooleate (Span 80, HLB of 4.3) cannot assemble into niosomes (on their own) due to their inadequate geometry, hence packing properties. The oleate moiety of this surfactant molecule has a double bond (with relatively high electron density) at the C9 which repels adjacent hydrocarbon chains resulting in the characteristic “kink” in the structure [42]. Vesicle size of niosomal dispersion containing span 80 was less as compared to that of span 60 (table 7). This might be due to the increase in the hydrophobicity of the surfactant from Span 60 to Span 80. The decrease in surface free energy with increasing the hydrophobicity of surfactants may be the major attribute of reduction in the vesicle size of niosomes. Since the DC of niosomes obtained by using span 80 was significantly (p<0.05) less due to kink in the structure as compared to span 60, the span 60 was selected as surfactant. The results coincide with the previous study by Essa 2010 where effect of formulation and processing variables on sorbitan monopalmitate niosomes was studied.
Selection of chol: surfactant ratio
Table 8: DC, EE and vesicle size for a selection of chol: surfactant ratio
Batch code | DC (%)* | EE (%)* | Vesicle size (nm)* |
CS6 | 64.6±0.12 | 63.9±0.16 | 324±0.05 |
CS7 | 55.8±0.35 | 69.2±0.26 | 357±0.15 |
CS8 | 66.5±0.41 | 70.9±0.38 | 373±0.22 |
CS9 | 57±0.55 | 79.4±0.41 | 410±0.29 |
CS10 | 56.3±0.26 | 73.2±0.64 | 428±0.45 |
CS11 | 42.1±0.09 | 66.9±0.28 | 385±0.62 |
CS12 | 68±0.034 | 70.1±0.36 | 448±0.54 |
CS13 | 53.5±0.49 | 53.8±0.05 | 424±0.32 |
CS14 | 68.5±0.54 | 61.4±0.19 | 401±0.41 |
CS15 | 72.4±0.06 | 80±0.32 | 436±0.38 |
CS16 | 78.1±0.42 | 80.7±0.46 | 417±0.61 |
CS17 | 86.3±0.39 | 83.4±0.22 | 465±0.24 |
*(mean±SD, n=3)
In order to find the optimum concentration ratio of chol: surfactant, different batches of niosomes were prepared (table 8) ratio value (chol: span 60) ranged from 1 to 10. Reverse order of ratio (chol: span 60) from 2 to 3.5 was also used to prepare niosomes. The amount of chol to be added depends on the HLB value of the surfactants. As the HLB value increases above 10, it is necessary to increase the minimum amount of chol to be added in order to compensate for the larger head groups [43]. EE decreases as the HLB value decreases from 8.6 to 1.7. It was seen that the addition of chol enables more hydrophobic surfactants to form vesicles, suppresses the tendency of the surfactant to form aggregates, and provides greater stability to the lipid bilayer by promoting the gel-liquid transition temperature of the vesicle [44]. The EE is affected by the phase transition temperature (Tc) of the surfactant. Thus Span 60 with a high Tc exhibits the highest EE. The encapsulation efficiency is improved when the chol content was increased to 50% molar ratio due to the reduction of drug permeability. A similar result was reported by Mokhtar et al. 2008, who studied the effect of some formulation parameters such as the chol content of niosomes on flurbiprofen encapsulation and release rates of niosomes prepared from proniosomes. The optimization of the niosomal batch was not possible only on the basis of DC and EE as prolong the effect of PSP was expected (fig. 4). Hence the batch was selected on the basis of in vitro drug release.
Fig. 4: Graph of DC and EE of trial batches for selection of chol: surfactant ratio data expressed mean±SD (n=3)
In vitro drug release
In vitro dissolution of niosomal batches was carried out by dialysis bag method. The value of t90 played an important role in determining the optimized niosomal batch. Our main purpose of this study was to sustain the release of drug and hence t90 was expected to be higher for the optimized batch. The batch CS17 (chol: span 60 ratio was 1) exhibited t90 of 490 min that is the release was sustained upto 8 h of the drug by this formulation (fig. 5 and 6). The change in chol: span60 ratio did not showed linear correlation either with DC, EE or in vitro drug release. The values differed randomly without showing any correlation. The niosomal batches CS1, CS15,CS16, CS17 all contained chol: span 60 ratio 1 i.e. both the ingredients were in equal quantities but still there t90 values were variable viz 112 min, 370 min, 435 min and 490 min respectively (table 9). The difference in these batches was the change in concentration with respect to the whole composition. The amount of surfactant used in CS1 was ten times lesser than that used in CS17. Hence the value of t90 was shifted from 112 to 490 min. Surfactant concentrations were within the limits in accordance with safety guidelines where the concentration of surfactant does not exceed by 1-2.5 % w/w. In batch CS17 the amount of span is 1% w/v. The primary function of surfactant is to improve the solubility of substance but PSP being water soluble, this function need not has to be achieved. The surfactants in higher concentrations act as sustained release polymers which cause the drug to release at the controlled rate. This was in agreement with findings of other studies like Tabbakhian M et. al 2006;Das k et. al 2011;Azeem A et. al 2008 indicating a more sustained drug permeation and possibly a greater drug deposition and increased drug release where drug containing vesicular systems used, as compared to a pure drug solution.
Fig. 5: Dissolution drug profile of batches CS1 to CS10data expressed mean±SD (n=3)
Fig. 6: Dissolution drug profile of batches CS11 to CS17data expressed mean±SD (n=3)
Release kinetics of drug
The kinetics of the drug release was evaluated by model fitting method using PCP Disso v3 software and the model with the highest correlation coefficient amongst them was considered to be the best model for a particular formulation.
Different t90 values were observed for different batches. The batch CS17 showed (chol: span 60–1:1) maximum t90 value of 491.9 min (table 9). This indicates that 90% drug release occurred in 490 min thus sustaining the release to upto 8 h. The kinetics of the drug release was evaluated by a model fitting method using PCP Disso v3 software and the model with the highest correlation coefficient amongst them was considered to be the best model. The release kinetics indicated that the optimized batch (CS17) followed Korsmeyer Peppas kinetics where R is 0.9935, n is 0.4352 and k is 5.846. The Korsemeyer Peppas release model equation is, F = (M t/M) = k m t n Where F = fraction of drug release at time t; Mt = amount of drug release at time t; M = total amount of drug in dosage form; K = constant. ‘n’ is estimated from linear regression of log (Mt/M) vs log t. If n = 0.45, it indicates Fickian diffusion; n<0.45≤0.89 indicates non fickian diffusion. Nonfickian diffusion involves a combination of both diffusion and erosion controlled release rate [45].
Fourier transform infrared spectroscopy (FTIR)
FTIR spectra of pure drug, the physical mixture of niosomes, niososme pellets and niosomal in situ gel were evaluated (fig. 7-10). The FTIR study for the pure drug was carried out and the observed peaks were noted. From fig. 10, it was found that following were the peaks of the PSP present in the IR graph of the standard and this confirms the purity of the drug. The peaks were observed at 715.5, 892.8, 984.5, 1113.7, 1245.8, 1441.5, 1656.5, 1715.4, 2200.4, 2870.5, 2937.06 and 3327.6 cm-1 which corresponded to =C-H out of plane bending, C-H aromatic out of plane bending, C-H stretching of alkyl substituted alkenes, C-H in-plane bending, C-O stretching, C=C aromatic stretching, C=C aromatic stretching, C=O ester stretching, Weak combination and overtone of–C-H indicating mono-substitution on aromatic ring,-CH2-symmetrical stretching, C-H aromatic stretching and O-H (free) alcoholic stretching respectively [46]. An overlay of all the spectra confirmed that all the peaks of the drug were retained in physical mixture and formulation as in pure drug which indicates drug and excipients were found to be compatible with each other.
Table 9: Release kinetics of niosomal batches
Batch Code | Zero order model | First order model | Higuchi/Matrix model | HixsonCrowell model | Korsmeyer–Peppas model | Best fit kinetic model | t90 | ||
R | R | R | R | R | n | K | Min | ||
CS1 | 0.6148 | 0.9860 | 0.9877 | 0.9286 | 0.9987 | 0.4034 | 13.37 | KP | 112.8 |
CS2 | 0.6615 | 0.9251 | 0.9646 | 0.8872 | 0.9526 | 0.5329 | 4.8165 | M | 271.9 |
CS3 | 0.6229 | 0.9635 | 0.9817 | 0.9027 | 0.9820 | 0.4598 | 7.8542 | KP | 201.2 |
CS4 | 0.5982 | 0.9818 | 0.9726 | 0.9250 | 0.9832 | 0.4718 | 8.3280 | KP | 155.2 |
CS5 | 0.8932 | 0.9926 | 0.9849 | 0.9742 | 0.9866 | 0.6975 | 2.0973 | FO | 307.9 |
CS6 | 0.8892 | 0.8520 | 0.9785 | 0.9333 | 0.9867 | 0.6135 | 3.3073 | KP | 218.1 |
CS7 | 0.6320 | 0.8788 | 0.9653 | 0.8419 | 0.9836 | 0.4461 | 6.6215 | KP | 347.1 |
CS8 | 0.6321 | 0.7365 | 0.8837 | 0.5983 | 0.9683 | 0.3460 | 11.909 | KP | 345.8 |
CS9 | 0.7173 | 0.9369 | 0.9842 | 0.8888 | 0.9891 | 0.4683 | 5.5747 | KP | 379.7 |
CS10 | 0.4564 | 0.8718 | 0.9504 | 0.7877 | 0.9860 | 0.3827 | 9.1718 | KP | 390.7 |
CS11 | 0.5505 | 0.8696 | 0.9561 | 0.8192 | 0.9815 | 0.4330 | 7.6207 | KP | 299.5 |
CS12 | 0.2242 | 0.9414 | 0.9506 | 0.8244 | 0.9946 | 0.3199 | 19.98 | KP | 110.4 |
CS13 | 0.6615 | 0.9251 | 0.9646 | 0.8872 | 0.9526 | 0.5329 | 4.8165 | KP | 271.9 |
CS14 | 0.1567 | 0.7936 | 0.8777 | 0.6439 | 0.9339 | 0.3713 | 11.318 | KP | 266 |
CS15 | 0.4219 | 0.7193 | 0.8344 | 0.5055 | 0.9733 | 0.2875 | 15.69 | KP | 370.8 |
CS16 | 0.6864 | 0.9312 | 0.9800 | 0.8766 | 0.9834 | 0.4759 | 5.3902 | KP | 435.2 |
CS17 | 0.6671 | 0.8889 | 0.9826 | 0.8347 | 0.9935 | 0.4352 | 5.846 | KP | 491.9 |
Fig. 7: FTIR spectra of PSP
Fig. 8: Overlay of drug, physical mixture of niosomes and noisome pellets
Fig. 9: Overlay of drug and physical mixture
Fig. 10: Overlay of drug, physical mixture of niosomes, niosome pellets and niosomal in-situ gel
DSC
Fig. 11: DSC spectra of PSP
Fig. 12: Overlay of drug, the physical mixture of niosomes, and noisome pellets
Fig. 13: Overlay of drug, physical mixture of niosomes, niosome pellets and niosomal in-situ gel
Fig. 14: Overlay of drug, physical mixture of niosomes, niosome pellets, niosomal in-situ gel and synthesized bioadhesive polymer
DSC of the drug was performed to evaluate the thermal profile of the drug (fig. 11). The onset of the peak observed at 80 ⁰C represented the peak of evaporation of water molecules due to heat. A sharp endothermic peak was observed at 220 ⁰C indicating the melting point of PSP (reported value 216 ⁰C). PSP crystals exhibit an endothermic peak at 320 °C due to decomposition of PSP. The DSC thermograms of pure drug, physical mixture of niosomes, niososme pellets and niosomal in situ gel along with synthesized polymer were obtained (fig. 12, 13 and 14). The peaks observed between 50-60 ⁰C indicated melting points of maximum excipients used in the formulation like span 60, P407 and P188 [47,48]. The cholesterol has the melting point of 148 ⁰C which was shifted to 120 ⁰C due to evaporation of water absorbed by the poloxamer during formulation of in situ gel. The broad peak observed at 240 ⁰C indicates the melting point of synthesized bioadhesive polymer and drug. The absence of PSP peak on this thermogram has been taken to represent the only evidence of PSP amorphization. The physical state of the drug inside the carrier system is important because it can affect the in vitro and in vivo drug release [49]. The PSP peak was absent in the thermogram of niosomes. This situation shows that PSP was in amorphous structure and molecularly dispersed in niosomes as emphasized by Dong Y et al.2005. The amorphous PSP may be favorable due to the enhanced solubility of active agent [50].
It was stated by Nasr et al. 2008 that absence of drug’s crystalline melting peak after niosomal encapsulation shows the high interaction between drug and surfactant bilayers of niosomes. This also explains the high entrapment of PSP into niosomes. In accordance with this, the entrapment of an active agent in niosomes was high in prepared formulations.
Fig. 15: Optical microscopic image of niosomes
The niosomes were observed under the digital motic microscope (fig. 15). Vesicle size of niosomes was found to be in 0.2-0.5 μm range. The vesicles were circular in shape with uniform vesicle size distribution.
Fig. 16: Vesicle size distribution of pure drug
Vesicle size of pure drug and vesicle size of niosomal dispersion was measured by Nanophox NX0088 (fig. 16 and 17). Vesicle size of the pure drug was found to be 2002 nm which was reduced to 465 nm for niosomal dispersion. Thus the particle size was reduced by 4 times making the formulation feasible for ocular use to enhance their penetration through different biological barriers of the eye. According to previous studies of ophthalmological applications, the size of complex drug particles should be less than 10 µm to avoid a foreign body sensation after administration [51]. Especially for ocular drug delivery, larger sized particles (>1 µm) may potentially cause ocular irritation [52]. In the ophthalmic field, particles of size range 10 to 1000 nm allow for the improved topical passage of large molecules through the barriers of the ocular system [53]. Based on these results, delivery of ocular therapeutics via niosomes can be used to reduce the sensation and irritation of the eye.
Fig. 17: Vesicle size distribution of niosomal dispersion
Zeta potential determination
Fig. 18: Zeta potential of niosomal formulation
The zeta potential for niosomal formulation was measured by zetasizer. It has long been recognized that the zeta potential is a very good index of the magnitude of the interaction between colloidal particles. Dissociation of acidic groups on the surface of a particle will give rise to a negatively charged surface. The magnitude of the surface charge depends on the acidic or basic strength of the surface groups and on the pH of the solution. The zeta potential of the noisome under study was found to be-44 mV (fig. 18). The negative charge is contributed by the negatively charged sulfonate groups present in span 60. The presence of a net charge, whether negative or positive, can increase water uptake within the double layer. It implies that equal molarity of nonionic surfactant and chol can make the membrane compact and well organized [54]. The magnitude of the zeta potential gives an indication of the potential stability of the colloidal system. If all the particles in suspension have a large negative or positive zeta potential, then they will tend to repel each other and there will be no tendency for the particles to come together. However, if the particles have low zeta potential values then there will be no force to prevent the particles from coming together and flocculating. The general dividing line between stable and unstable dispersions is generally taken at either+30 or-30 mV. Particles with zeta potentials more positive than+30 mV or more negative than-30 mV are normally considered stable. Thus it indicates that the formulation is stable and particle size will not increase due to aggregation or coagulation even after the formulation is kept for a long period of time.
PDI
Table 10: PDI of pure drug and niosomal formulation
S. No. | Sample name | PDI* |
1. | Pure drug | 0.095±0.003 |
2. | Niosomal Formulation | 0.284±0.026 |
*(mean±SD, n=3)
PDI values were calculated from vesicle size distribution data. The PDI value of formulation was found to be in the 0.284 which was found to be in the standard range i.e. less than 1 indicating that the formulation is monodisperse (table 10). The quality and uniformity of the dispersed systems are expressed with the PDI values. The values less than 0.7 are considered as suitable measurements. The low PDI values demonstrated the narrow size distribution and uniformity of the niosomal suspension [55]. Homogeneity of niosomal dispersions was indicated by the PDI values.
TEM analysis
Morphological characteristics of niosomal formulations were further confirmed by TEM analysis. TEM photomicrograph of (CS17) niosomal formulation at 40,000x and 45,000x (fig. 19) magnification revealed the spherical shape and morphology of the niosomes. Further, it was observed from the TEM images that niosomes are with hollow vesicular structure. The vesicle size (432 nm) observed in TEM was found to coincide with the value obtained by vesicle size determination thus confirming the size of vesicles to be in the colloidal range.
In situ gel preparation
Preliminary batches were prepared by varying the concentrations of P407 and P188 indifferent ratios and evaluated for gelation temperature (table 11). The concentration of P407 was varied from 10 to23% w/v whereas the concentration of P188 was varied from 10-30% w/v. While defining the ratios, care was taken that the total poloxamer concentration should not exceed 40%w/v. The formulations containing only P407 showed higher sol-gel transition temperatures than the gel bases containing P188 in combination with it. The sol-gel transition temperature increased when the P407 concentration was decreased. This observation was in accordance with the data available in the literature [56]. When the mixtures were compared according to the ratio of P407/P188, it was observed that the w/w percent ratio of P407/P188 was important to reach the desirable gelation temperature and the result was compatible with the literature [57, 58].
It was found that with the increase in the concentration of P188, the gelation temperature decreased significantly (p<0.05) and found to be equivalent to the physiological temperature that is 36-37⁰C. Gelation temperatures for P188 and P407 gels were observed for the different concentration range of polymer, and it was found that the gelation temperature of formulation decreased with increasing concentration of polymer. As the concentration of polymer increases, the gel structure becomes more closely packed with the arrangement in the lattice pattern [59].
Fig. 19: TEM images of optimized niosomal batch (CS17)
Evaluation of in situ gel
Preliminary batches of in situ gel
Table 11: Formulation batches of in situ gel along with gelation time, gel capacity and gel temperature
Batch code | P407 (%w/v) | P188 (%w/v) | Gelation temperature ( °C) | Gel capacity* | Gelation time (min) |
G1 | 20 | - | >60 | - | - |
G2 | 18 | - | >60 | - | - |
G3 | 16 | - | >60 | - | - |
G4 | 21 | - | >60 | - | - |
G5 | 22 | - | >60 | - | - |
G6 | 23 | - | >60 | - | - |
G7 | 20 | 14 | >60 | - | - |
G8 | 20 | 15 | >60 | - | - |
G9 | 20 | 16 | >60 | - | - |
G10 | 23 | 14 | >60 | - | - |
G11 | 22 | 15 | >60 | - | - |
G12 | 21 | 16 | >60 | - | - |
G13 | 15 | 15 | >60 | - | - |
G14 | 20 | 10 | >56 | - | - |
G15 | 17 | 17 | >60 | - | - |
G16 | 10 | 11 | >57 | + | - |
G17 | 11 | 10 | >57 | + | - |
G18 | 11 | 11 | >57 | + | - |
G19 | 10 | 12 | >52 | - | - |
G20 | 12 | 20 | >52 | - | - |
G21 | 12 | 12 | >52 | - | - |
G22 | 20 | 13 | 48-52 | - | - |
G23 | 13 | 20 | 48-52 | - | - |
G24 | 13 | 13 | 48-52 | - | - |
G25 | 10 | 15 | 43 | + | - |
G26 | 15 | 20 | 43 | - | - |
G27 | 15 | 15 | 42 | - | <1 |
G28 | 10 | 16 | 43 | + | <1 |
G29 | 17 | 10 | 42 | + | <1 |
G30 | 17 | 17 | 43 | ++ | <1 |
G31 | 10 | 18 | 42 | + | <1 |
G32 | 18 | 20 | 42 | ++ | <1 |
G33 | 20 | 18 | 40 | ++ | <1 |
G34 | 10 | 25 | 37-38 | +++ | <1 |
G35 | 10 | 27 | 37-38 | +++ | <1 |
G36 | 10 | 30 | 36-37 | +++ | <1 |
*(–): The solutions which did not undergo a phase transition at all. (+): The solutions which exhibited a phase transition only after 60 s. and the formed gels which collapsed within 1-2 h. (++): The solutions which formed the gels after 60 s. however, the gels formed did not remain stable for more than 3 h. (+++): The solutions which exhibited phase transition within 60 s and the gels so formed remained stable for more than 7-8 h.
Evaluation parameters of in situ gel
Table 12: Evaluation results of shortlisted formulations
Formulations | G34 (A) | G35 (B) | G36 (C) |
Appearance | Translucent | Translucent | Translucent |
pH* | 6.8±0.1 | 6.5±0.1 | 6.7±0.1 |
Drug content (%)* | 88.45±0.37 | 91.37±0.26 | 86.13±0.15 |
Gelation temperature ( °C)* | 37.7±0.5 | 37.2±0.5 | 36.9±0.5 |
Gel strength (s)* | 29±0.36 | 32±0.42 | 35±0.18 |
Gelation time (min) | <1 | <1 | <1 |
Mucoadhesive strength (dynes/cm2)* | 1837±0.35 | 2043±0.26 | 2465±0.14 |
Spreadability (cm)* | 2.3±0.33 | 2.1±0.52 | 1.8±0.08 |
*(mean±SD, n=3)
The appearance of the formulation was translucent since niosomal pellets equivalent to drug dose were introduced into the gel formulation (table 12). The pH of the solution was found to be in the range of 6.5 to 6.8 since the pH of the formulation was maintained by addition of 0.1 M NaOH. The effect of polymer concentration on drug content was negligible because the drug was incorporated into niosomes and the drug was not directly dissolved into the gel formulation. Thus, DC was affected by niosomal formulation parameters and not by gel formulation parameters. With the increase in the concentration of P188, the gelation temperature was decreased and thus the optimum temperature of 37.2±0.2 ⁰C was obtained. Gel strength is the indication of the viscosity of the gel formulation. It was observed that with the increase in polymer concentration, gel strength was also increased. The mucoadhesive strength limits the total clearance of drug from the ocular surface. Defining the mucoadhesive characteristics is of great importance when prolonged residence time and a decreased leakage of the formulation with the mucosal secretion are required [56]. The bioadhesive strength was not significantly affected by polymer concentration because the amount of addition of synthesized bioadhesive polymer was constant in all the three formulations. The bioadhesive strength of formulation was increased with increase in the concentration of polymer forming in situ gel formulation. In the literature, it was shown that P407 increased the mucoadhesive force of the formulation. It was also presented that the formulation prepared with the mixture of P407/P188 increased the bioavailability by preventing the migration of the formulation from the mucosal tissue [58]. This was in accordance with our data and the studies on the mucoadhesive property of poloxamers. The spreadability of the gel formulation was measured by texture analyzer. It was found that with the increase in polymer concentrations, the spreadability decreased significantly (p<0.05) due to the increase in viscosity of the formulation. It has been observed that increasing the concentration of any of the gelling agents was always associated with a decrease in the spreadability [60]. One of the criteria for a gel to meet the ideal quality is that it should possess good spreadability. It is the term expressed to denote the extent of area, to which gel readily spreads on application site. Lesser the time is taken for separation of two slides, better the spreadability. The gelling capacity of the formulation was measured on the basis of gelation time and time for which the gel remains to hold its solid state. It was observed that with significant (p<0.05) increase in P188 concentration (above 20% w/v), the gelling capacity improved thus forming within 60 s and holding its state for more than 7-8 h.
Viscosity measurements
The viscosity of the optimized formulation was measured at a different temperature from 25 ⁰C to 40 ⁰C (fig. 20). It was observed that the viscosity of gel was suddenly increased between temperature 35-37 ⁰C which indicated sol to gel transformation. The viscosity of gel formulation was found to be in the range of 800-900 cps below 35 ⁰C which increased to about 4000-5000 cps above 35 ⁰C indicating gelation temperatures. The increase in the concentration of P188 caused the decrease in the gelation temperature.
Fig. 20: Effect of temperature on viscosity of in situ gel data expressed mean±SD (n=3)
Fig. 21: Comparison of viscosity change with change in shear rate at 25⁰C for different formulations data expressed mean±SD (n=3)
All the formulations showed pseudoplastic rheological flow after studying at various temperatures, as evidenced by shear thinning and increase in shear stress with increased angular velocity. It was found that the rheological parameter was directly dependent on polymer concentration of formulation. At 25 ⁰C, all formulations were having low viscosity (fig. 21) and at 37 ⁰C, the formulations showed high viscosity (fig. 22). This indicates conversion of these formulations from sol to gel. It was also observed that viscosity of all the formulations was decreasing with the increase in shear rate. The non-newtonian formulations with pseudoplastic properties can acquire a viscosity decrease with increasing shear rate, creating blinking and ocular movement. Pseudoplasticity is thus interesting because it offers significantly less resistance to blinking and shows much greater acceptance than viscous newtonian formulations [61].
In vitro drug diffusion study
The in vitro drug release profile of gel formulations was calculated by PCP disso software where the percent drug release along with dissolution kinetics and best fit model was found out. T90 value was found out using this PCP disso V3 software and comparison was done on its basis (fig. 23). The apparent diffusion coefficient values are given in table 12. It was observed that the diffusion coefficient for optimized formulation (1.998 x 10-5 cms-1) was higher as compared to the pure drug (0.710 x 10-5 cms-1) and marketed formulation (0.865 x 10-5 cms-1) thus proving increased permeability of drug through the membrane (table 13). These results can be attributed to the presence of bioadhesive polymer which retains the formulation in contact with the eye for a long period of time.
Fig. 22: Comparison of viscosity change with change in shear rate at 37⁰C for different formulations data expressed mean±SD (n=3)
The presence of polymers in in situ gel (P188 and P407) in lower concentrations acts as penetration enhancers and thus helps in penetration of PSP through the membrane. T90 value is the time at which 90% of the drug is released (table 14). A, B and C batch exhibited 90 value of 523 min (8 h and 43 min), 596 min(9 h 56 min) and 555 min (9 h 15 min) respectively. The release kinetics indicated that it followed zero order which means drug release does not depend on initial concentration.
The B batch (P407:P188-1:2.7) was found to be the optimized batch with maximum t90 value thus sustaining the action for a long period of time. The marketed formulation and the pure drug showed 20-23% drug diffusion in 6 h whereas the drug released by niosomal formulation was found to be in the range of 45-50 % in 6 h. Thus the amount of drug diffused was increased by niosomal in situ gel formulation. O. Inal et al. 2013 observed that the presence of P188 polymer increased the release of meloxicam due to the change in the ratio of Poly Propylene oxide/Poly Ethylene Oxide (PPO/PEO) units in the polymer. Comparably shorter chain and low PPO/PEO molar ratio of hydrophilic P188 tend to disrupt the hydration shells around the hydrophobic portion of P407 molecules, which resulted as the high degree of water molecules around the PPO units. During gelation, those ordered water molecules had to be squeezed out into the bulk solution. Therefore, an increase in temperature required to promote the hydroscopic interaction between poloxamer micelles [62].
Thus, the gel prepared with P188 has more tendencies to erode. As seen in fig. 23, formulations including P407:P188 combination (A, B, C) showed higher erosion profiles than the others probably due to the decrease in PPO/PEO molar ratio of polymer in the gel.
Fig. 23: In vitro drug release profile of in situ niosomal batches data expressed mean±SD (n=3)
Table 13: Amount of drug released in 6 h and apparent diffusion coefficient of different batches
S. No. | Batch | Amount of drug diffused in 6 h* | Apparent diffusion coefficient (cm s-1)* |
1. | A | 48.55±0.12 | 1.853* 10-5 |
2. | B | 49.72±0.37 | 1.998* 10-5 |
3. | C | 49.04±0.24 | 1.892*10-5 |
4. | Pure drug | 19.52±0.48 | 0.710*10-5 |
5. | Marketed formulation | 22.64±0.59 | 0.865*10-5 |
*(mean±SD, n=3)
Table 14: Release kinetics of in situ niosomal batches
Batch Code | Zero-order model | First order model | Higuchi/Matrix model | Hixson-Crowell model | Korsmeyer–Peppas model | Best fit kinetic model | t90% |
R | R | R | R | R | N | K | |
A | 0.9146 | 0.883 | 0.892 | 0.902 | 0.8526 | 0.4819 | 2.7082 |
B | 0.9777 | 0.946 | 0.888 | 0.959 | 0.9728 | 0.9384 | 0.2028 |
C | 0.9631 | 0.928 | 0.904 | 0.944 | 0.9353 | 0.6425 | 1.0740 |
Ex vivo drug release studies
Fig. 24: Ex vivo drug diffusion of optimized formulation data expressed mean±SD (n=3)
The ex vivo drug diffusion study of optimized formulation showed that 90% of drug release was obtained in 10 h providing sustained effect (fig. 24). It is clear that a significantly higher amount (p < 0.05) of PSP permeated from the optimized formulation as compared to the marketed formulation. It is clear that niosomes prepared using Span 60 showed the more amount of PSP permeated, this might be attributed to the transition temperature of the used surfactant, where the high transition temperature of Span 60 made the niosomes in a more packed ordered gel state at the specified permeation temperature (37 °C) as studied by Vora et al., 1998. The marketed formulation showed just 20% drug release after 6 h which may be due to its larger molecule weight and thus large molecule size which indicates there may be a problem in the conjunctival absorption of the drug. Thus this problem was overcome by entrapment of PSP in niosomal in situ gel formulation. The size of vesicle was reduced due to its incorporation into niosomes and the release was sustained by in situ gel formulation.
Pharmacodynamic study
Primary skin irritation test
The PII of the test sample was calculated to be 0.00;no irritation was observed on the skin of the rabbits/rats. The scores for erythema and edema were summed for intact and abraded skin for rabbits at 24 and 72 h, PII was calculated. Based on the sum of the scored reactions divided by 32 (two scoring intervals multiplied by two test parameters multiplied by 8 animals). PII: 0/32 = 0.00. Under the conditions of this test, the test sample would not be considered a primary skin irritant since the PII was less than 5.00.
The possibility of eye irritation due to niosomal in situ gel administration was evaluated in rabbits. The rabbits were observed for ocular lesions, and no symptoms of ocular irritation such as redness, tearing, inflammation, or swelling were observed after niosomal in situ gel administration. No ophthalmic damage or abnormal clinical signs to the cornea, iris or conjunctivae were visible. Thus, the developed ocular drug delivery systems are apparently free from any ocular irritation potential and can be safely administered to humans. The scores were calculated according to Draize scale.
Pharmacokinetic study
The aqueous humor concentration (mean±SD) time profiles of prednisolone sodium phosphate following ocular instillation of optimized niosomal in situ gel (B) and the drug solution in rabbits are depicted in fig. 25. The differences between the estimated drug pharmacokinetic parameters (Cmax, Tmax, and MRT (0–8 h) of the two treatments are illustrated in table 15. The mean (±SD) Cmax of the drug solution and that of the optimized formulation (B) were found to be equivalent. The delay in the median Tmax (from 1 to 2 h), as well as the prolongation in the MRT (0–8 h) from 3.583±0.526 to 5.349±0.035 h for the drug solution and the optimized formulation respectively, could indicate the sustained-release characteristics of the latter. Based on the calculated AUC(0–8) value, the increase in the ocular bioavailability was found to be 1.754-fold. The drug penetration enhancement following the instillation of the optimized formulation could be attributed to the presence of surfactant (span 60) in niosomal formulation which also acts as penetration enhancer. In addition to this, PSP being hydrophilic in nature can easily pass the epithelial barrier and thus contribute to increased penetration.
The bioadhesive synthesized polymer macromolecular hydrocolloids have numerous hydrophilic functional groups (carboxylic acid). The cornea and conjunctiva have a negative charge where these mucoadhesive polymers may interact intimately with these extraocular structures [25], would increase the concentration and residence time of the associated drug. The elevated PSP levels in the cornea and aqueous humor following the administration of PSP-Gel might be due to the increase in the amount of PSP dissolved in the precorneal area leading to the high concentration gradient, favoring good permeation, together with higher contact time with the corneal area [63].
Sterility test
In order to ensure the sterility of the finished product, the final formulation (B) was subjected to the sterility test. The formulation sterilized by membrane filtration method and incubated with different culture media like soybean casein digest medium; fluid thioglycate medium etc., for a period of 14 d of incubation did not show growth of the organism on the culture medium. This indicated that the formulation was sterile.
Fig. 25: Aqueous humor concentration-time profiles of PSP following ocular instillation of the drug solution and optimized B formulation to rabbits data expressed mean±SD (n=3)
Table 15: The pharmacokinetic parameters of PSP following ocular instillation of the drug solution and optimized formulation B to rabbits
Batch | Cmax (μg/ml)* | Tmax (h) |
AUC(0-8) (μg h-1 ml-1)* |
MRT(0-8) (h)* |
Increase in bioavailability (folds) |
Pure drug solution | 1.573±0.345 | 1 | 3.75225±0.254 | 3.583±0.526 | - |
Optimised formulation (B) | 1.602±0.427 | 2 | 6.584±0.127 | 5.349±0.035 | 1.754 |
*(mean±SD, n=3)
Stability study
Accelerated stability study
Table 16: Stability testing by appearance, percent drug content determination and gelation temperature
Time period | Appearance | Percent drug content of optimized formulation* | Gelation temperature (⁰C)* |
Initial | Translucent | 91.36±0.36 | 37.2±0.23 |
After 3 mo | Translucent, little gel formation at the base which can be converted into sol after shaking | 90.53±0.27 | 37.0±0.41 |
After 6 mo | 88.45±0.47 | 37.0±0.05 |
*(mean±SD, n=3)
The results obtained show that all the formulations were found to contain almost same amount of drug after 6 mo. There was a little decrease in percent drug content but it was less than 5% for each formulation after 6 mo. The results obtained showed little decrease in the gelation temperature of the formulation with the increase in time but that was so less that it can be neglected (table 16).
Long term stability study
Table 17: Stability testing by appearance, percent drug content determination and gelation temperature
Time period | Appearance | Percent drug content of optimized formulation* | Gelation temperature (⁰C)* |
Initial | Translucent | 91.36±0.36 | 37.2±0.23 |
After 3 mo | Translucent and stable | 89.53±0.27 | 37.1±0.41 |
*(mean±SD, n=3)
The results obtained showed that all the formulations were found to contain almost same amount of the drug after 3 mo. So it can be concluded that there wasn't any drug loss from formulation during storage. The results obtained showed there wasn't any significant change in the gelation temperature of the formulations after 3 mo. So, it can be predicted that the formulation would be stable during storage (table 17).
Different approaches have been used till now in order to overcome the drawbacks related to conventional ocular delivery systems and to improve patient compliance without losing the therapeutic activity of the drug. Niosomal in situ gel proved to be one of the successful approaches to accomplish the goals successfully. Niosomes optimal batch (CS17) was able to entrap PSP where entrapment efficiency was found to be 83.4±0.22%. As a result, the optimal formula was further incorporated into on situ gel with desirable mucoadhesive behavior essential to achieve increased retention at the target site. The formula exhibited significant permeation with almost 2.5 fold increased flux and sustained for longer periods (t90= 10 h) compared to the pure drug and marketed formulation at the same dose level. The pharmacokinetic study in rabbits proved that the total concentration of PSP in aqueous humor was higher as compared to that of pure drug solution. The mean residence time and the shift in tmax value indicated sustained release of the drug. Thus niosomal in situ system proved to be a very useful system for ocular drug delivery with promising results.
The authors thank P. E Society’s Modern College of Pharmacy, Nigdi, Pune for providing the facilities required for carrying out research work. They also thank UGC for providing funding and fellowship.
There was an equal contribution of both the authors in carrying out the research work
There is no conflict of interest
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