Svetlana Ibrić

Preparation of carbamazepine–Soluplus® solid dispersions by hot-melt extrusion, and prediction of drug–polymer miscibility by thermodynamic model fitting

Hot-melt extrusion (HME) is a dust- and solvent-free continuous process enabling the preparation of a variety of solid dosage forms containing solid dispersions of poorly soluble drugs into thermoplastic polymers. Miscibility of drug and polymer is a prerequisite for stable solid dispersion formation. The present study investigates the feasibility of forming solid dispersions of carbamazepine (CBZ) into polyethyleneglycol-polyvinyl caprolactam-polyvinyl acetate grafted copolymer (Soluplus) by hot-melt extrusion. Physicochemical properties of the raw materials, extrudates, co-melted products, and corresponding physical mixtures were characterized by thermo-gravimetric analysis (TGA), differential scanning calorimetry (DSC), attenuated total reflectance infrared (ATR-FTIR) spectroscopy and hot stage microscopy (HSM), while miscibility of CBZ and Soluplus was estimated on the basis of the Flory-Huggins theory, Hansen solubility parameters, and solid-liquid equilibrium equation. It was found that hot-melt extrusion of carbamazepine and Soluplus is feasible on a single-screw hot-melt extruder without the addition of plasticizers. DSC analysis and FTIR spectroscopy revealed that a molecular dispersion is formed when the content of CBZ does not exceed ∼5% w/w while higher CBZ content results in a microcrystalline dispersion of CBZ form III crystals, with the molecularly dispersed percentage increasing with extrusion temperature, at the risk of inducing transformation to the undesirable form I of CBZ. Thermodynamic modeling elucidated potential limitations and temperature dependence of solubility/dispersibility of carbamazepine in Soluplus hot-melt extrudates. The results obtained by thermodynamic models are in agreement with the findings of the HME processing, encouraging therefore their further application in the HME process development.

The application of generalized regression neural network in the modeling and optimization of aspirin extended release tablets with Eudragit® RS PO as matrix substance

The objective of this work is to use a generalized regression neural network (GRNN) in the design of extended-release aspirin tablets. As model formulations, 10 kinds of aspirin matrix tablets were prepared. Eudragit RS PO was used as matrix substance. The amount of Eudragit RS PO and compression pressure were selected as causal factors. In-vitro dissolution-time profiles at four different sampling times, as well as coefficients n (release order) and log k (release constant) from the Peppas equation were estimated as release parameters. A set of release parameters and causal factors were used as tutorial data for the GRNN and analyzing using a computer. A GRNN model was constructed. The optimized GRNN model was used for prediction of formulation with desired in vitro drug release. For two tested formulations there was very good agreement between the GRNN predicted and observed in vitro profiles and estimated coefficients. Calculated difference (f(1)) and similarity (f(2)) factors indicate that there is no difference between predicted and experimental observed drug release profiles. This work illustrates the potential for an artificial neural network, GRNN, to assist in development of extended-release dosage forms. This method can be employed to achieve a desired in vitro dissolution profile.

Characterization and evaluation of solid self-microemulsifying drug delivery systems with porous carriers as systems for improved carbamazepine release

The purpose of this study was to investigate solid self-microemulsifying drug delivery system (SSMEDDS), as potential delivery system for poorly water soluble drug carbamazepine (CBZ). Self-microemulsifying drug delivery system (SMEDDS) was formulated using the surfactant polyoxyethylene 20 sorbitan monooleate [Polysorbate 80] (S), the cosurfactant PEG-40 hydrogenated castor oil [Cremophor(®) RH40] (C) and the oil caprylic/capric triglycerides [Mygliol(®) 812] (O). Four different adsorbents with high specific surface area were used: Neusilin(®) UFL2, Neusilin(®) FL2 (magnesium aluminometasilicate), Sylysia(®) 320 and Sylysia(®) 350 (porous silica). Microemulsion area at the surfactant to cosurfactant ratio (K(m)) 1:1 was evaluated and for further investigation SMEDDS with SC/O ratio 8:2 was selected. Solubilization capacity of selected SMEDDS for CBZ was 33.771±0.041 mg/ml. Rheological measurements of unloaded and CBZ-loaded SMEDDS at water content varied from 10 to 60% (w/w) were conducted. It has been found that CBZ has great influence on rheological behaviour of investigated system upon water dilution. Photon correlation spectroscopy has shown the ability of CBZ-loaded SMEDDS to produce microemulsion droplet size. SSMEDDS improved release rate of CBZ, but the type of adsorbent significantly affects release rate of CBZ. For SSMEDDS with different magnesium aluminometasilicate adsorbents, release rate of CBZ decreased with increasing specific surface area due to entrapment of liquid SMEDDS inside the pores and its gradual exposure to dissolution medium. With porous silica adsorbents no difference in release rate was found in comparison to physical mixtures. In physical mixtures at 12.5% (w/w) CBZ content, presence of amorphous CBZ led to high dissolution rate.

Optimization of polyphenols extraction from dried chokeberry using maceration as traditional technique

Traditional maceration method was used for the extraction of polyphenols from chokeberry (Aronia melanocarpa) dried fruit, and the effects of several extraction parameters on the total phenolics and anthocyanins contents were studied. Various solvents, particle size, solid-solvent ratio and extraction time have been investigated as independent variables in two level factorial design. Among examined variables, time was not statistically important factor for the extraction of polyphenols. The optimal extraction conditions were maceration of 0.75mm size berries by 50% ethanol, with solid-solvent ratio of 1:20, and predicted values were 27.7mgGAE/g for total phenolics and 0.27% for total anthocyanins. Under selected conditions, the experimental total phenolics were 27.8mgGAE/g, and total anthocyanins were 0.27%, which is in agreement with the predicted values. In addition, a complementary quantitative analysis of individual phenolic compounds was performed using HPLC method. The study indicated that maceration was effective and simple technique for the extraction of bioactive compounds from chokeberry fruit.

Solubility enhancement of desloratadine by solid dispersion in poloxamers.

The present study investigates the possibility of using poloxamers as solubility and dissolution rate enhancing agents of the poorly water soluble drug substance desloratadine that can be used for the preparation of immediate release tablet formulation. Two commercially available poloxamer grades (poloxamer P 188 and poloxamer P 407) were selected, and solid dispersions (SDs) containing different weight ratio of poloxamers and desloratadine were prepared by a low temperature melting method. All SDs were subjected to basic physicochemical characterization by thermal and vibrational spectroscopy methods in order to evaluate the efficiency of poloxamers as solubility enhancers. Immediate release tablets were prepared by direct compression of powdered solid dispersions according to a General Factorial Design, in order to evaluate the statistical significance of two formulation (X(1) - type of poloxamer in SD and X(2) - poloxamer ratio in SD) and one process variable (X(3) - compression force) on the drug dissolution rate. It was found that desloratadine in SDs existed in the amorphous state, and that can be largely responsible for the enhanced intrinsic solubility, which was more pronounced in SDs containing poloxamer 188. Statistical analysis of the factorial design revealed that both investigated formulation variables exert a significant effect on the drug dissolution rate. Increased poloxamer ratio in SDs resulted in increased drug dissolution rate, with poloxamer 188 contributing to a faster dissolution rate than poloxamer 407, in accordance with the results of intrinsic dissolution tests. Moreover, there is a significant interaction between poloxamer ratio in SD and compression force. Higher poloxamer ratio in SDs and higher compression force results in a significant decrease of the drug dissolution rate, which can be attributed to the lower porosity of the tablets and more pronounced bonding between poloxamer particles.

Tablet disintegration and drug dissolution in viscous media: paracetamol IR tablets.

An investigation into the influence of viscous media on tablet disintegration and drug dissolution was performed with the aim to simulate the potential formulation-specific food effect for a selected highly soluble model drug. Literature data on the in vivo drug absorption in fasted and fed state have been evaluated for in vitro-in vivo correlation (IVIVC) purposes. In vitro studies were conducted in simple buffer media with or without addition of HPMC K4M as a viscosity enhancing agent. Good IVIVC correlation (r>0.95) was obtained for paracetamol dissolution in viscous media at 50rpm and fed state absorption profiles, while in vitro dissolution in simple media at lower stirring speed was predictable of drug products in vivo behaviour in the fasted state. The data obtained support the existing idea that relatively simple dissolution media and/or set of experimental conditions may be used to differentiate formulation-specific food-drug interactions. Such tests would be a useful tool in the development of formulations that would not be susceptible to the influence of co-administered meal and, furthermore, facilitate regulatory decision on the necessity to conduct food effect studies in vivo.

Artificial Neural Networks in the Modeling and Optimization of Aspirin Extended Release Tablets With Eudragit L 100 as Matrix Substance

The purpose of the present study was to model the effects of the concentration of Eudragit L 100 and compression pressure as the most important process and formulation variables on the in vitro release profile of aspirin from matrix tables formulated with Eudragit L 100 as matrix substance and to optimize the formulation by artificial neural network. As model formulations, 10 kinds of aspirin matrix tablets were prepared. The amount of Eudragit L 100 and the compression pressure were selected as causal factors. In vitro dissolution time profiles at 4 different sampling times were chosen as responses. A set of release parameters and causal factors were used as tutorial data for the generalized regression neural, network (GRNN) and analyzed using a computer. Observed results of drug release studies indicate that drug release rates vary widely between investigated formulations, with a range of 5 hours to more than 10 hours to complete dissolution. The GRNN model was optimized. The root mean square value for the trained network was 1.12%, which indicated that the optimal GRNN model was reached. Applying the generalized distance function method, the optimal tablet formulation predicted by GRNN was with 5% of Eudragit L 100 and tablet hardness 60N. Calculated difference (f1 2.465) and similarity (f2 85.61) factors indicate that there is no difference between predicted and experimentally observed drug release profiles for the optimal formulation. This work illustrates the potential for an artificial neural network, GRNN, to assist in development of extended release dosage forms.

An investigation into the factors influencing drug release from hydrophilic matrix tablets based on novel carbomer polymers.

Drug release from hydrophilic matrix tablets can be strongly influenced by the proportion of matrix forming polymer and the dimensions and geometry of the tablets. A complete two-factor, three-level factorial design, followed by multiple regression analysis and response surface methodology, was applied to investigate the influence of polymer level and tablet size on drug release kinetics from hydrophilic matrix tablets prepared with Carbopol 971P and Carbopol 71G. Tablet diameter, radius-to-height ratio, tablet surface area, and surface-area-to-volume ratio were evaluated as independent variables in terms of their applicability to characterize tablet size and geometry. The results indicate that it may be possible to control the rate of drug release by modifying the proportion of carbomer in tablets and tablet dimensions. The practical benefit of these simulations is to optimize the geometry and dimensions of a controlled release device and reduce the number of experiments involved in the development of new controlled release dosage forms.

Improvement of Aripiprazole Solubility by Complexation with (2-Hydroxy)propyl-β-cyclodextrin Using Spray Drying Technique

Due to the fact that the number of new poorly soluble active pharmaceutical ingredients is increasing, it is important to investigate the possibilities of improvement of their solubility in order to obtain a final pharmaceutical formulation with enhanced bioavailability. One of the strategies to increase drug solubility is the inclusion of the APIs in cyclodextrins. The aim of this study was to investigate the possibility of aripiprazole solubility improvement by inclusion in (2-hydroxy)propyl-β-cyclodextrin (HPBCD) and simultaneous manipulation of pH of the medium and addition of polyvinylpyrrolidone. Aripiprazole–HPBCD complexes were prepared by spray drying aqueous drug–HPBCD solutions, and their properties were compared with those prepared by solvent-drop co-grinding and physical mixing. The obtained powders were characterized by thermoanalytical methods (TGA and DSC), FTIR spectroscopy, their dissolution properties were assessed, while the binding of aripiprazole into the cavity of HPBCD was studied by molecular docking simulations. The solubilization capacity was found to be dependent on pH as well as the buffer solution’s ionic composition. The presence of PVP in the formulation could affect the solubilization capacity significantly, but further experimentation is required before its effect is fully understood. On the basis of solubility studies, the drug/HPBCD stoichiometry was found to be 1:3. The spray-dried products were free of crystalline aripiprazole, they possessed higher solubility and dissolution rate, and were stable enough over a prolonged period of storage. Spray drying of cyclodextrin solutions proved to be an appropriate and efficient technique for the preparation of highly soluble inclusion compounds of aripiprazole and HPBCD.

Influence of dissolution media composition on drug release and in‐vitro/in‐vivo correlation for paracetamol matrix tablets prepared with novel carbomer polymers

The influence of dissolution media composition on drug release kinetics and in‐vitro/in‐vivo correlation (IVIVC) for hydrophilic matrix tablets based on Carbopol 971P and Carbopol 71G was investigated. A number of buffered and unbuffered media differing with respect to their pH value, ionic strength and ionic species was evaluated. The observed in‐vitro drug release profiles were compared with the hypothetical drug release profiles in‐vivo calculated by numerical deconvolution from the results of an in‐vivo study. The obtained IVIVC plots were examined using linear and non‐linear (proportional odds, proportional hazards and proportional reversed hazards) mathematical models. Although the studied sustained release agents were chemically identical, they exhibited pronounced differences in drug product behaviour both in‐vitro and in‐vivo. The use of non‐linear modelling resulted in an improved level of correlation, especially in the case of Carbopol 71G matrices. The obtained results indicated the susceptibility of drug release kinetics and hence IVIVC in the case of anionic polymer matrices to media composition, and emphasized the need for thorough evaluation of applied media during the development of biorelevant dissolution methodology. Although the use of non‐linear modelling could be advantageous, the need for a simple and meaningful nonlinear relationship is pointed out.