Current Issue : January - March Volume : 2021 Issue Number : 1 Articles : 5 Articles
Multiple-unit pellet systems (MUPS) offer many advantages over conventional solid dosage\nforms both for the manufacturers and patients. Coated pellets can be efficiently compressed into\nMUPS in classic tableting process and enable controlled release of active pharmaceutical ingredient\n(APIs). For patients MUPS are divisible without affecting drug release and convenient to swallow.\nHowever, maintaining API release profile during the compression process can be a challenge. The\naim of this work was to explore and discover relationships between data describing: composition,\nproperties, process parameters (condition attributes) and quality (decision attribute, expressed as\nsimilarity factor..........................
Glimepiride is an antidiabetic drug which is one of the third generation sulfonylureas.\nIt belongs to class II, according to the BCS (Biopharmaceutical Classification System), which is\ncharacterized by low solubility and high permeability. The aim of this work was to formulate\nglimepiride as solid dispersion using water-soluble carriers to enhance its aqueous solubility and\nthus enhance its bioavailability. Nine formulations of glimepiride solid dispersion were prepared\nby a solvent evaporation technique using three different carriers...............................
Cyclodextrins (CDs) and their derivatives significantly increase drug solubility by forming\ndrug/CD complexes known as solid dispersions (SDs), which consist of an inclusion complex (IC),\nwhere the drug is entrapped within the CD cavity, and a non-IC. Here, the SDs of curcumin (CUR)..........................
Mimicking the human decision-making process is challenging. Especially, many process\ncontrol situations during the manufacturing of pharmaceuticals are based on visual observations\nand related experience-based actions. The aim of the present work was to investigate the use of\nimage analysis to classify the quality of coated tablets. Tablets with an increasing amount of coating\nsolution were imaged by fast scanning using a conventional office scanner. A segmentation routine\nwas implemented to the images, allowing the extraction of numeric image-based information from\nindividual tablets. The image preprocessing was performed prior to utilization of four different\nclassification techniques for the individual tablet images. The support vector machine (SVM)\ntechnique performed superior compared to a convolutional neural network (CNN) in relation to\ncomputational time, and this approach was also slightly better at classifying the tablets correctly.\nThe fastest multivariate method was partial least squares (PLS) regression, but this method was\nhampered by the inferior classification accuracy of the tablets. Finally, it was possible to create a\nnumerical threshold classification model with an accuracy comparable to the SVM approach, so it is\nevident that there exist multiple valid options for classifying coated tablets....
Freeze-drying was evaluated as a production technique for co-amorphous systems of\na poorly water-soluble drug. Naproxen was freeze-dried together with arginine and lysine as co-former.\nTo increase the solubility of naproxen in the starting solution, the applicability of five surfactants\nwas investigated, namely sodium dodecyl sulfate, pluronic F-127, polyoxyethylene (40) stearate,\ntween 20 and TPGS 1000. The influence of the surfactant type, surfactant concentration and total solid\ncontent to be freeze-dried on the solid state of the sample was investigated. X-ray powder diffraction\nand differential scanning calorimetry showed that the majority of systems formed co-amorphous\none-phase systems. However, at higher surfactant concentrations, and depending on the surfactant\ntype, surfactant reflections were observed in the XRPD analysis upon production. Crystallization\nof both naproxen and amino acid occurred from some combinations under storage. In conclusion,\nfreeze-drying was shown to be a feasible technique for the production of a selection of co-amorphous\ndrugâ??amino acid formulations....
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