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Tailoring amlodipine release from 3D printed tablets: Influence of infill patterns and wall thickness
(Elsevier B.V., 2021)
The aim of this study was to investigate the impact of infill patterns on the drug release of 3D-printed tablets and the possibility of tailoring drug release through the use of excipients. Furthermore, the influence of ...
Paracetamol extended release FDM 3D printlets: Evaluation of formulation variables on printability and drug release
(International Journal of Pharmaceutics, 2021)
Paracetamol printlets were prepared via hot-melt extrusion process and fused deposition modelling, using two types of backbone polymers. Polycaprolactone (PCL) and Polyethylene oxides (PEO) 100 K and 200 K were used, while ...
Formulation of solid lipid nanoparticles (SLN): The value of different alkyl polyglucoside surfactants
(Elsevier Science BV, Amsterdam, 2014)
Alkyl polyglycosides (APGs) represent a group of nonionic tensides with excellent skin compatibility. Thus they seem to be excellent stabilizers for lipid nanoparticles for dermal application. To investigate this, different ...
Polyhydroxy surfactants for the formulation of lipid nanoparticles (SLN and NLC): Effects on size, physical stability and particle matrix structure
(Elsevier Science BV, Amsterdam, 2011)
The two polyhydroxy surfactants polyglycerol 6-distearate (Plurol (R) Stearique WL1009 - (PS)) and caprylyl/capryl glucoside (Plantacare (R) 810 - (PL)) are a class of PEG-free stabilizers, made from renewable resources. ...
Mucoadhesive buccal tablets with propranolol hydrochloride: Formulation development and in vivo performances in experimental essential hypertension
(Elsevier B.V., 2021)
The objective of this study was to formulate extended-release mucoadhesive buccal tablets of propranolol hydrochloride in order to provide a prolonged absorption of propranolol hydrochloride from the buccal mucosa and to ...
Elucidating molecular properties of kappa-carrageenan as critical material attributes contributing to drug dissolution from pellets with a multivariate approach
(Elsevier Science BV, Amsterdam, 2019)
Multivariate data analysis (MVDA) and artificial neural networks (ANN) are supporting statistical methodologies required for successful development and manufacturing of drug products. To address this purpose, a complex ...
Hydrophilic excipients in digital light processing (DLP) printing of sustained release tablets: Impact on internal structure and drug dissolution rate
(Elsevier, 2019)
Three-dimensional (3D) printing enables the production of different objects adjusted for the specific application, which has particular importance of providing personalized therapy, whereby the challenge is to apply ...
An investigation into the usefulness of different empirical modeling techniques for better control of spray-on fluidized bed melt granulation
(Elsevier Science BV, Amsterdam, 2015)
Melt granulation in fluid bed processors is an emerging technique, but literature data regarding the modeling of this granulation method are lacking. In the present study different techniques (response surface analysis, ...
An investigation into the effect of formulation variables and process parameters on characteristics of granules obtained by in situ fluidized hot melt granulation
(Elsevier Science BV, Amsterdam, 2012)
The aim of this study was to investigate the influence of binder content, binder particle size, granulation time and inlet air flow rate on granule size and size distribution, granule shape and flowability, as well as on ...
Optimization of matrix tablets controlled drug release using Elman dynamic neural networks and decision trees
(Elsevier Science BV, Amsterdam, 2012)
The main objective of the study was to develop artificial intelligence methods for optimization of drug release from matrix tablets regardless of the matrix type. Static and dynamic artificial neural networks of the same ...