Self-assembly of nanoparticles into complex structures
Nanotechnology has great potential in targeting several emerging application. Many of them are based on materials which combine rather different properties. There are several procedures how such materials can be prepared. In the frame of this project we explore possibility to use assembly process where nanoparticles are combined into complex structures. While it was shown that such approach can be used to prepare porous materials now we apply this method to prepare composite materials where combination of primary particles with rather different properties are mixed together. Areas where these materials can find application are catalysis, bio-catalysis, sensors, optical devices, functional coatings, drug delivery, packaging materials etc. While experimental effort dominates in parallel we are developing mathematical models capable to describe interactions between nanoparticles which should help us to understand and later on optimize synthesis conditions or to tune the final properties of these materials.
Development of novel formulations for active pharmaceutical ingredients
This project is oriented on the improvement of bioavailability of active pharmaceutical ingredients (API) by their formulation into nano or micro-particles and by modification of the surface properties of these particles. Processes used for API formulation are emulsification, precipitation, encapsulation into suitable matrix etc. Obtained particles are characterized using various techniques including light scattering, SEM, TEM. Such particles are consequently combined with appropriate excipients to form final dosing forms (granules or tablets). Measured release kinetics of API is correlated to the properties of API particle (size, composition, surface properties etc.) with the goal to provide rational guideline for formulation process.
Development or optimization of crystallization processes
This project is covering various aspects of the final step of active pharmaceutical ingredients (API) production which is commonly crystallization. To cover broad range of conditions our activity includes classical crystallization (homogeneous or heterogeneous) and anti-solvent crystallization. Combination of experiments with suitable mathematical models is used to optimize process of crystallization with respect to crystal size distribution together with a possibility to produce desired polymorphic form of given API. Obtained materials are characterized by several techniques such as SEM, TEM, light scattering, image analysis. Gained knowledge is further used in the process scale up to production scale devices.
This project is reflecting interest of academia and industry on the understanding of the cell response to the modification of cultivation conditions including variation of metabolism, productivity and product quality. Experimental techniques which include analysis of extra- and intracellular components by various spectroscopic techniques is combined with a modeling effort targeting deeper understanding of the metabolism of cells during fed-batch and continuous cultivation conditions. Depending on the complexity mathematical models are built on various levels (extracellular or intracellular level). Gained knowledge should help us to optimize the cultivation conditions in terms of feeding strategies, effect of media supplements, mixing intensity, O2 supply and CO2 removal etc.
Multiscale modelling of multiphase flow relevant for industrial applications
This project is covering general interest of the group to understand and consequently predict industrially relevant processes using mathematical models. While experience of the group is in the modeling of multiphase flow in various devices, using combination of computational fluid dynamics and population balances, we are currently working on extension of this approach towards microscale of the given process which includes processes occurring on the level of interfaces (G-L, L-L, S-L) or even on the level of molecules (interactions of molecule-surface, molecule-molecule, molecule solvent). Modelling effort is supported by the experimental activity to provide data for validation of the developed models.