A5059803186- Crystallization and Solubility Studies
- Advanced Control Systems Optimization
- Process Optimization and Integration
- Analytical Chemistry and Chromatography
- Innovative Microfluidic and Catalytic Techniques Innovation
- Fault Detection and Control Systems
- Coagulation and Flocculation Studies
- Calcium Carbonate Crystallization and Inhibition
- Minerals Flotation and Separation Techniques
- nanoparticles nucleation surface interactions
- Freezing and Crystallization Processes
- Membrane Separation and Gas Transport
- Chemical and Physical Properties in Aqueous Solutions
- Drug Solubulity and Delivery Systems
- Water Quality Monitoring and Analysis
- Fluid Dynamics and Mixing
- Extraction and Separation Processes
- Chromatography in Natural Products
- Electrohydrodynamics and Fluid Dynamics
- Mathematical Control Systems and Analysis
- Metallurgical Processes and Thermodynamics
- Enzyme Structure and Function
- Computational Drug Discovery Methods
- Spectroscopy and Chemometric Analyses
- Catalysis for Biomass Conversion
Budapest University of Technology and Economics
2018-2024
Purdue University West Lafayette
2017-2023
The University of Texas at Austin
2021
Massachusetts Institute of Technology
2021
National University of Singapore
2021
Montavid Thermodynamic Research Group
2020
Babeș-Bolyai University
2013-2019
Loughborough University
2017-2018
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...
An end-to-end continuous pharmaceutical manufacturing process was developed for the production of conventional direct compressed tablets on a proof-of-concept level first time. The output reaction mixture flow synthesis acetylsalicylic acid crystallized continuously in mixed suspension product removal crystallizer. crystallizer directly connected to filtration carousel device, thus crystallization, and drying (ASA) carried out an integrated 2-step process. Steady state reached during longer...
The design of pharmaceutical crystallization processes is a challenging engineering problem because the specific and versatile quality requirements end-product, amplified by tight regulatory standards. current industrial standard for process based on use quality-by-design (QbD) framework, which relies factorial experiments (DoE). Hence, QbD inherently generates large number resource-consuming open loop experiments. This especially true when more complex operating conditions need to be...
Direct nucleation control (DNC) is a process analytical technique (PAT) based model free feedback strategy for batch and continuous crystallization processes, which has been successfully applied in numerous cases. The basic principle of DNC the use controlled dissolution cycles to measurement directly related particle number system. During DNC, case cooling fines are dissolved by repeated heating–cooling loops. In this context, variable (relative) number, manipulated using approach through...
Implementation of a novel method for high-throughput screening reactions in microdroplets. The reaction and analysis steps are performed simultaneously using desorption electrospray ionization mass spectrometry (DESI-MS) at rate up to 1 mixture per second.
Control of crystal size distribution (CSD) and shape is critical in the pharmaceutical industries for meeting tight quality attribute (CQA) requirements manufacturing active ingredients (APIs). In general, to increase efficiency downstream operations such as filtration drying, flowability manufacturability powders, large crystals with a low aspect ratio (AR) are preferred. Large AR, needle-shaped very common industries; consequently, achieve desired performance, careful design...
The control of batch crystallizers is an intensively investigated topic as suitable crystallizer operation can reduce considerably the downstream costs and produce crystals desired properties (size, shape, purity, etc.). Nevertheless, still challenging. In this work development a fixed time full population balance model based adaptive predictive system for cooling presented. equations are solved by high resolution finite volume algorithm involving fine discretization, which provides...
Nucleophilic aromatic substitution (SNAr) reactions were optimized using high-throughput experimentation techniques for execution under flow conditions. A total of 3072 unique evaluated with an analysis time ∼3.5 s per reaction a system that combines liquid handling robot mixture preparation desorption electrospray ionization (DESI) mass spectrometry (MS) analysis. The performed in bulk microtiter arrays and without incubation. In-house developed software was used to process the data...
The integration of continuous unit operations imposes a challenge on the pharmaceutical companies aspiring to achieve plant-wide manufacturing due additional complexity dynamic interactions, process control and quality assurance. To overcome this challenge, flowsheet modeling emerged as viable tool gain deeper knowledge. In work, model integrated acetylsalicylic acid (ASA) was formed based real operations. Furthermore, surrogate in vitro dissolution test ASA capsules into first time analyze...
A novel data exploration framework (PredMaX) for predictive maintenance is introduced in the present paper. PredMaX offers automatic time period clustering and efficient identification of sensitive machine parts by exploiting hidden knowledge high-dimensional, unlabeled temporal data. Condition monitoring systems often provide such data, which further analyzed human experts or used training models. reduces dimensionality two steps: An explainable deep convolutional autoencoder applied on...
Well-designed and operated pharmaceutical crystallization can enhance the key features of active ingredients, which be taken to next level by a model-based design. Model development not only requires computer implementation, kinetic identification, advanced programming skills but also suitable number information-rich experiments. Numerous products have been crystallized for long time, with many related laboratory-scale experiments plant-scale manufacturing data accumulated from past...
Two-dimensional (2D) crystals, for which the shape is described by two linear sizes, are common in fine chemical and pharmaceutical industries. Since crystal size directly related to performance of active ingredients, simultaneous distribution control paramount importance crystallization engineering. To efficiently achieve often requires model-based strategies; however, increased computational cost process simulation substantial differences between simulated measurable quantities make...
In this work, the modeling, simulation, and optimization of an integrated batch crystallizer, wet mill system are presented. It is shown that by coupling external to crystallizer it possible increase overall flexibility, attainable crystal size distribution (CSD), provide a significantly better shaping control than alone. The population balance modeling approach with appropriate mechanisms applied for description in both mill. This generates partial differential-integral equations, which...
Prediction and control of the product properties in crystallization processes are practical challenges pharmaceutical industry. Effective process design operation techniques needed to meet critical quality attributes (CQAs) minimize batch-to-batch variation. Mathematical modeling can enhance understanding save a considerable amount time, effort raw material when used development following guidelines Quality-by-Design (QbD) framework. When mathematical model is fitted validated with...
Abstract Spherical agglomeration (SA) is a process intensification strategy, which can reduce the number of unit operations in pharmaceutical manufacturing. SA merges drug substance crystallization with product wet granulation, reducing capital, and operating costs. However, highly nonlinear process, thus for its efficient operation model‐based design control strategies are beneficial. These require development high‐fidelity model appropriately estimated parameters. There two major problems...
Improving the flexibility and capabilities of pharmaceutical technologies lowering process development time while satisfying regulatory constraints translate to highly desired resilient supply chains. Generating validating necessary knowledge in-silico before experimentation or plant-scale intervention with minimized human implications is dream this paper aims contribute to. The idea demonstrated through case study particle size-controlled second-order asymmetric transformation enantiomers...