A5053450304- Drug Solubulity and Delivery Systems
- Spectroscopy and Chemometric Analyses
- Electrospun Nanofibers in Biomedical Applications
- Crystallization and Solubility Studies
- Spectroscopy Techniques in Biomedical and Chemical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Analytical Methods in Pharmaceuticals
- Protein purification and stability
- 3D Printing in Biomedical Research
- Injection Molding Process and Properties
- Analytical Chemistry and Chromatography
- Electrohydrodynamics and Fluid Dynamics
- Advanced Drug Delivery Systems
- biodegradable polymer synthesis and properties
- Viral Infectious Diseases and Gene Expression in Insects
- Microencapsulation and Drying Processes
- Advanced Sensor and Energy Harvesting Materials
- Polymer Foaming and Composites
- Mineral Processing and Grinding
- Water Quality Monitoring and Analysis
- Phase Equilibria and Thermodynamics
- Advancements in Transdermal Drug Delivery
- Conducting polymers and applications
- Advanced Chemical Sensor Technologies
- Additive Manufacturing and 3D Printing Technologies
Budapest University of Technology and Economics
2016-2025
Loughborough University
2008-2018
Purdue University West Lafayette
2017-2018
Engineering and Physical Sciences Research Council
2018
Institute of Materials and Environmental Chemistry
2013
Hungarian Academy of Sciences
2001-2013
National Research, Development and Innovation Office
2010
Institute for Soil Sciences
2009
University of Stuttgart
2006
Eötvös Loránd University
2001
Abstract Electrospinning has rapidly progressed over the past few decades as an easy and versatile way to fabricate fibers with diameters ranging from micrometers tens of nanometers that present unique intricate morphologies. This led conception new technologies diverse methods exploit basic electrohydrodynamic phenomena electrospinning process, which in turn invention novel apparatuses have reshaped field. Research on revamping conventional principally focused achieving three key...
Innovation in the pharmaceutical industry has been limited for a long time to research and development of new active compounds; meanwhile, structure production, dominated by batchwise technologies, not changed date. As already demonstrated several other industrial sectors, continuous manufacturing (CM) many advantages over batch processes. Faster, cheaper, more flexible production can be developed with significantly higher level quality assurance. In recent years main regulatory agencies...
Electrostatic spinning (Electrospinning, ES) was applied to prepare Donepezil HCl loaded nanofibers as a potential orally dissolving dosage form.Electrospinning of water solutions different polymers were performed in order fabricate consistent and removable web on the collector with ultra-fast dissolution based media.Poly(vinyl-alcohol) low molecular weight found be most appropriate for this purpose.Morphology prepared characterized by scanning electron microscope function viscosity drug...
In this work spectroscopic measurements, process data and Critical Material Attributes (CMAs) are used to predict the in vitro dissolution profile of sustained-release tablets with three machine learning methods, Artificial Neural Networks (ANN), Support Vector Machines (SVM) Ensemble Regression Trees (ERT). Beside effect matrix polymer content compression force, influence active pharmaceutical ingredient (API) particle size distribution (PSD) on drug release rate sustained is studied. The...
This paper presents a system, where images acquired with digital camera are coupled image analysis and deep learning to identify categorize film coating defects measure the thickness of tablets. There were 5 different classes defective tablets, YOLOv5 algorithm was utilized recognize defects, accuracy classification 98.2%. In order characterize thickness, diameter tablets in pixels measured, which used The proposed system can be easily scaled up match production capability continuous...
Abstract Chemical imaging method of vibrational spectroscopy, which provides both spectral and spatial information, creates a three‐dimensional (3D) dataset with huge amount data. When the components sample are unknown or their reference spectra not available, classical least squares (CLS) cannot be applied to create visualized distribution maps. Raman image datasets can evaluated even in such cases using multivariate (chemometric) methods for extracting needed hidden information. The...
The aim of this work was to investigate the suitability electrospinning for biodrug delivery and develop an electrospinning-based method produce vaginal drug systems.Lactobacillus acidophilus bacteria were encapsulated into nanofibers three different polymers (polyvinyl alcohol polyvinylpyrrolidone with two molar masses).Shelf life could be enhanced by exclusion water preparing a solid dosage form, which is advantageous patient-friendly way administration.The formulations stored at -20, 7...