Enhanced recovery and dissolution of griseofulvin nanoparticles from surfactant-free nanocomposite microparticles incorporating wet-milled swellable dispersants.

Abstract Nanocomposite microparticles (NCMPs) incorporating drug nanoparticles and wet-milled swellable dispersant particles were investigated as a surfactant-free drug delivery vehicle with the goal of enhancing the nanoparticle recovery and dissolution rate of poorly water-soluble drugs. Superdisintegrants were used as inexpensive, model, swellable dispersant particles by incorporating them into NCMP structure with or without wet-stirred media […]

Preparation and physicochemical characterization of matrix pellets containing APIs with different solubility via extrusion process.

Abstract In this study, a multiparticulate matrix system was produced, containing two different active pharmaceutical ingredients (APIs): enalapril-maleate and hydrochlorothiazide. The critical control points of the process were investigated by means of factorial design. Beside the generally used microcrystalline cellulose, ethylcellulose was used as matrix former to achieve modified drug release ensured by diffusion. The matrix pellets were […]

Approaches to developing fast release pellets via wet extrusion-spheronization.

Abstract Microcrystalline cellulose (MCC) is widely regarded as the excellent choice to manufacture pellets via wet extrusion-spheronisation (ES) process due to its excellent water uptake capability, water holding capacity, desirable rheological properties, cohesiveness and plasticity etc. Nevertheless, in spite of all these advantages, limitations associated with the application of MCC also have been reported. The most […]

A novel methodology to study polymodal particle size distributions produced during continuous wet granulation.

Abstract It is important during powder granulation to obtain particles of a homogeneous size especially in critical situations such as pharmaceutical manufacture. To date, homogeneity of particle size distribution has been defined by the use of the d50 combined with the span of the particle size distribution, which has been found ineffective for polymodal particle size distributions. This […]

Artificial neural network modelling of continuous wet granulation using a twin-screw extruder.

Abstract Computational modelling of twin-screw granulation was conducted by using an artificial neural network (ANN) approach. Various ANN configurations were considered with changing hidden layers, nodes and activation functions to determine the optimum model for the prediction of the process. The neural networks were trained using experimental data obtained for granulation of pure microcrystalline cellulose using a […]