Gabor Jarvas

Combined Computational Approach Based on Density Functional Theory and Artificial Neural Networks for Predicting The Solubility Parameters of Fullerenes

The solubility of organic semiconductors in environmentally benign solvents is an important prerequisite for the widespread adoption of organic electronic appliances. Solubility can be determined by considering the cohesive forces in a liquid via Hansen solubility parameters (HSP). We report a numerical approach to determine the HSP of fullerenes using a mathematical tool based on artificial neural networks (ANN). ANN transforms the molecular surface charge density distribution (σ-profile) as determined by density functional theory (DFT) calculations within the framework of a continuum solvation model into solubility parameters. We validate our model with experimentally determined HSP of the fullerenes C60, PC61BM, bisPC61BM, ICMA, ICBA, and PC71BM and through comparison with previously reported molecular dynamics calculations. Most excitingly, the ANN is able to correctly predict the dispersive contributions to the solubility parameters of the fullerenes although no explicit information on the van der Waals forces is present in the σ-profile. The presented theoretical DFT calculation in combination with the ANN mathematical tool can be easily extended to other π-conjugated, electronic material classes and offers a fast and reliable toolbox for future pathways that may include the design of green ink formulations for solution-processed optoelectronic devices.

Triple-Internal Standard Based Glycan Structural Assignment Method for Capillary Electrophoresis Analysis of Carbohydrates

Despite the ever growing use of capillary electrophoresis in biomedical research and the biopharmaceutical industry, the development of data interpretation methods is lagging behind. In this paper we report the design and implementation of a coinjected triple-internal standard method to alleviate the need of an accompanying run of the maltooligosaccharide ladder for glucose unit (GU) calculation. Based on the migration times of the coinjected standards of maltose, maltotriose, and maltopentadecaose (bracketing the peaks of interest), a data processing approach was designed and developed to set up a virtual ladder that was used for GU calculation. The data processing was tested in terms of the calculated GU values of human IgG glycans, and the resulting relative standard deviation was ≤1.07%. This approach readily supports high-throughput capillary electrophoresis systems by significantly speeding up the processing time for glycan structural assignment.

Numerical modeling of capillary electrophoresis - electrospray mass spectrometry interface design.

Capillary electrophoresis hyphenated with electrospray mass spectrometry (CE-ESI-MS) has emerged in the past decade as one of the most powerful bioanalytical techniques. As the sensitivity and efficiency of new CE-ESI-MS interface designs are continuously improving, numerical modeling can play important role during their development. In this review, different aspects of computer modeling and simulation of CE-ESI-MS interfaces are comprehensively discussed. Relevant essentials of hydrodynamics as well as state-of-the-art modeling techniques are critically evaluated. Sheath liquid-, sheathless-, and liquid-junction interfaces are reviewed from the viewpoint of multidisciplinary numerical modeling along with details of single and multiphase models together with electric field mediated flows, electrohydrodynamics, and free fluid-surface methods. Practical examples are given to help non-specialists to understand the basic principles and applications. Finally, alternative approaches like air amplifiers are also included.

Modeling of cell sorting and rare cell capture with microfabricated biodevices

In this paper, we review different aspects of computer modeling and simulation of lab-on-a-chip type bioanalytical devices, with special emphasis on cell sorting and rare cell capture, such as circulating tumor cells (CTCs). We critically review important fundamental concepts and innovative applications in addition to detailed analysis by multiphysics approaches. Relevant essentials of hydrodynamic, Newtonian, and non-Newtonian rheological behavior, single and multiphase models, together with various force field-mediated flows are discussed with respect to cell sorting. Furthermore, we provide a summary of techniques used to simulate electric and magnetic field-based rare cell capture methods, such as electrophoresis and magnetophoresis. Finally, we present simulations of practical applications to help non-specialists understand the basic principles and applications.

Effect of Separation Temperature on Structure Specific Glycan Migration in Capillary Electrophoresis

Temperature dependent differential migration shifts were studied in capillary electrophoresis between linear (maltooligosaccharides) and branched (sialylated, neutral and core fucosylated biantennary IgG glycans) carbohydrates. Background electrolytes without as well as with low and high molecular weight additives (ethylene glycol, linear polyacrylamide and poly(ethylene oxide)) were investigated for this phenomena in the temperature range of 20-50 °C. Glucose unit (GU) value shifts were observed with increasing temperature for the all IgG glycans both in additive-free and additive-containing background electrolytes, emphasizing the importance of tight temperature control during glycosylation analysis by capillary electrophoresis. The activation energy concept was applied to understand the structure specific electrophoretic migration of the different sugar molecules. Activation energy values were derived from the slopes of the Arrhenius plots of logarithmic mobility vs reciprocal absolute temperature and compared for the linear and branched sugars as well as for the various background electrolyte additives.

Enzymatic removal of N-glycans by PNGase F coated magnetic microparticles.

Investigation of protein glycosylation is an important area in biomarker discovery and biopharmaceutical research. Alterations in protein N‐glycosylation can be an indication of changes in pathological conditions in the medical field or production parameters of biotherapeutics. Rapid development of these disciplines calls for fast, high‐throughput, and reproducible methods to analyze protein N‐glycosylation. Currently used methods require either long deglycosylation times or large excess of enzymes. In this paper, we report on the use of PNGase F immobilization onto the surface of magnetic microparticles and their use in rapid and efficient removal of N‐glycans from glycoproteins. The use of immobilized PNGase F also allowed reusability of the enzyme‐coated beads as the magnetic microparticles can be readily partitioned from the sample by a magnet after each deglycosylation reaction. The efficiency and activity of the PNGase F coated magnetic beads was compared with in‐solution enzyme reactions using standard glycoproteins possessing the major N‐glycan types of neutral, high mannose, and highly sialylated carbohydrates. The PNGase F coated magnetic beads offered comparable deglycosylation level to the conventional in‐solution based method in 10‐min reaction times for the model glycoproteins of immunoglobulin G (mostly neutral carbohydrates), ribonuclease B (high mannose type sugars), and fetuin (highly sialylated oligosaccharides) with the special features of easy removal of the enzyme from the reaction mixture and reusability.

Tilted pillar array fabrication by the combination of proton beam writing and soft lithography for microfluidic cell capture: Part 1 Design and feasibility

Design, fabrication, integration, and feasibility test results of a novel microfluidic cell capture device is presented, exploiting the advantages of proton beam writing to make lithographic irradiations under multiple target tilting angles and UV lithography to easily reproduce large area structures. A cell capture device is demonstrated with a unique doubly tilted micropillar array design for cell manipulation in microfluidic applications. Tilting the pillars increased their functional surface, therefore, enhanced fluidic interaction when special bioaffinity coating was used, and improved fluid dynamic behavior regarding cell culture injection. The proposed microstructures were capable to support adequate distribution of body fluids, such as blood, spinal fluid, etc., between the inlet and outlet of the microfluidic sample reservoirs, offering advanced cell capture capability on the functionalized surfaces. The hydrodynamic characteristics of the microfluidic systems were tested with yeast cells (similar size as red blood cells) for efficient capture.

GUcal: An integrated application for capillary electrophoresis based glycan analysis

Recent emergence in the use of monoclonal antibody therapeutics and other glycoprotein biopharmaceuticals requires high‐throughput, robust, and automated techniques for their glycosylation analysis. Capillary electrophoresis is one of the high‐performance methods of choice; however, while the necessary instrumentation is well developed, the related bioinformatics tools are lacked behind. In this paper, we introduce an integrated toolset dubbed as GUcal, to automatically calculate the glucose unit (GU) values for all sample components of interest in an electropherogram with a concomitant database search for structural assignment. The database comprises CE GUs and suggested structures of N‐glycans released from human IgG. The app is freely available online (www.lendulet.uni‐pannon.hu/gucal) and readily facilitates CE‐based glycan analysis.

Computational Fluid Dynamics-Based Design of a Microfabricated Cell Capture Device

A microfluidic cell capture device was designed, fabricated, evaluated by numerical simulations and validated experimentally. The cell capture device was designed with a minimal footprint compartment comprising internal micropillars with the goal to obtain a compact, integrated bioanalytical system. The design of the device was accomplished by computational fluid dynamics (CFD) simulations. Various microdevice designs were rapidly prototyped in poly-dimethylsiloxane using conventional soft lithograpy technique applying micropatterned SU-8 epoxy based negative photoresist as moulding replica. The numerically modeled flow characteristics of the cell capture device were experimentally validated by tracing and microscopic recording the flow trajectories using yeast cells. Finally, we give some perspectives on how CFD modeling can be used in the early stage of microfluidics-based cell capture device development.

Simulation‐based design of a microfabricated pneumatic electrospray nebulizer

A microfabricated pneumatic electrospray nebulizer has been developed and evaluated using computer simulations and experimental measurements of the MS signals. The microdevice under development is designed for electrospray MS interfacing without the need to fabricate an electrospray needle and can be used as a disposable or an integral part of a reusable system. The design of the chip layout was supported by computational fluid dynamics simulations. The tested microdevices were fabricated in glass using conventional photolithography, followed by wet chemical etching and thermal bonding. The performance of the microfabricated nebulizer was evaluated by means of TOF‐MS with a peptide mixture. It was demonstrated that the nebulizer, operating at supersonic speed of the nebulizing gas, produced very stable nanospray (900 nL/min) as documented by less than 0.1% (SE) fluctuation in total mass spectrometric signal intensity.