Verbund: 05M2018 - KONSENS : Schlussbericht : Förderzeitraum: 01.01.2018-30.06.2021. - Ilmenau : Technische Universität Ilmenau. - 1 Online-Ressource (16 Seiten, 450,82 KB)Förderkennzeichen BMBF 05M18SIA
https://edocs.tib.eu/files/e01fb23/1870887948.pdf
Development of a new antigen-based microarray platform for screening and detection of human IgG antibodies against SARS-CoV-2. - In: Scientific reports, ISSN 2045-2322, Bd. 12 (2022), 8067, S. 1-15
The CoNAN Study Group: Thomas Hotz, Petra Enders, Renate Koch, Steffen Mai, Matthias Ullrich, Cora Richert, Cornelius Eibner, Bettina Meinung, Kay Stötzer, Julia Köhler, Michael Kiehntopf, Hans Cipowicz, Christine Pinkwart, Hans Proquitté, Michael Bauer, Petra Dickmann, Annika Licht, Juliane Scholz, Wibke Wetzker, Anita Hartung, Daniel Weiß, Lara Thieme, Gabi Hanf, Clara Schnizer, Jasmin Müller, Jennifer Kosenkow, Franziska Röstel, Joel Guerra, Oliwia Makarewicz, Steffi Kolanos, Juliane Ankert, Stefan Hagel, Christina Bahrs, Nico Andreas, Raphaela Marquardt, Thomas Kamradt, Sabine Baumgart, Stefanie Deinhardt-Emmer, Sebastian Kuhn, Bettina Löffler, Michael Baier, Stefan Glöckner, André Scherag & Mathias W. Pletz
Strategies to contain the current SARS-CoV-2 pandemic rely, beside vaccinations, also on molecular and serological testing. For any kind of assay development, screening for the optimal antigen is essential. Here we describe the verification of a new protein microarray with different commercially available preparations significant antigens of SARS-CoV-2 that can be used for the evaluation of the performance of these antigens in serological assays and for antibody screening in serum samples. Antigens of other pathogens that are addressed by widely used vaccinations were also included. To evaluate the accuracy of 21 different antigens or antigen preparations on the microarray, receiver operating characteristics (ROC) curve analysis using ELISA results as reference were performed. Except for a single concentration, a diagnostic sensitivity of 1 was determined for all antigen preparations. A diagnostic specificity, as well as an area under the curve (AUC) of 1 was obtained for 16 of 21 antigen preparations. For the remaining five, the diagnostic specificity ranged from 0.942 to 0.981 and AUC from 0.974 to 0.999. The optimized assay was subsequently also applied to determine the immune status of previously tested individuals and/or to detect the immunization status after COVID-19 vaccination. Microarray evaluation of the antibody profiles of COVID-19 convalescent and post vaccination sera showed that the IgG response differed between these groups, and that the choice of the test antigen is crucial for the assay performance. Furthermore, the results showed that the immune response is highly individualized, depended on several factors (e.g., age or sex), and was not directly related to the severity of disease. The new protein microarray provides an ideal method for the parallel screening of many different antigens of vaccine-preventable diseases in a single sample and for reliable and meaningful diagnostic tests, as well as for the development of safe and specific vaccines.
https://doi.org/10.1038/s41598-022-10823-7
Long-term efficiency for reducing entanglements of nascent polyethylene by a polystyrene-modified Ziegler-Natta catalyst. - In: Journal of applied polymer science, ISSN 1097-4628, Bd. 139 (2022), 11, 51790, S. 1-10
The weakly entangled ultrahigh molecular weight polyethylene (UHMWPE) was synthesized by a Ziegler-Natta catalyst, where the titanium tetrachloride was anchored on the polystyrene (PS)-modified silica. The PS chains were successfully incorporated into silica hierarchical pores even with the size less than 10 nm through the in situ free-radical polymerization of styrene. The self-diffusion coefficient and crystallization of probing molecules inside the pores were investigated by the pulsed field gradient NMR and thermoporosimetry to address the swollen behavior of incorporated PS blocks. This PS blocks compartmentalized the polyethylene chains, where the less entangled UHMWPE was synthesized with an exceptional activity at 70˚C. The ubiquitous PS isolators effectively hindered the formation of chains overlaps during the polymerization, showing a long-term efficiency to reduce the entanglements of nascent UHMWPE even at 4 h of polymerization The toughness/stiffness/strength balance of weakly entangled UHMWPE was significantly improved.
https://doi.org/10.1002/app.51790
Optimal plant growth through thermo mechatronic analysis. - In: , (2022), S. 65-70
This work is described as a proposal to apply modern control techniques and automation tools for optimal plant growth, also it was based on key agricultural strategies that were developed by ancient civilizations such as the Inca Empire. Many of them ancient techniques including the Inca engineering of andenes were forgotten or set aside through time. In this research, however, some of these key techniques are revisited to analyze and evaluate optimal plant growth using sensors and actuators that were not available in ancient civilizations. In addition, predictive and adaptive mathematical models are used for plant growth analysis of thermodynamic parameters such as temperature, humidity and potential of Hydrogen (pH). Furthermore, there were compared performances of sensors (electromechanical sensors) with designed sensors that were based in nanostructures, because of better study of the plant growth techniques.
Extended abstracts presented at the 25th International Symposium on Mathematical Theory of Networks and Systems MTNS 2022 : held 12-16 September 2022 in Bayreuth, Germany. - Bayreuth : Universität Bayreuth, 2022. - 1 Online-Ressource
Foreword: After more than two years of limited social and scientific interactions due to the Covid-19 pandemic, it was a pleasure to welcome more than 300 participants in person and about 60 online participants at MTNS 2022 in Bayreuth. Submissions to MTNS 2022 were possible as extended abstracts and full papers. The accepted full papers that were presented at the conference are published in IFAC PapersOnline https://www.sciencedirect.com/journal/ifacpapersonline/vol/55/issue/30. In this volume you find the extended abstracts that were presented at the conference. Further, you also find the titles of the plenary and semi-plenary talks as well as their abstracts resp. links to the corresponding full papers. We hope you enjoy these abstracts and to see you in person at MTNS in the future. The Editors M. H. Baumann, L. Grüne, B. Jacob, and K. Worthmann
https://doi.org/10.15495/EPub_UBT_00006809
Intelligent sensors based on amorphous nanostructures according to achieve an optimal waste collection in Lima Peru. - In: ICIEA 2022, (2022), S. 1606-1611
An optimal waste collection is a very complicated task in different countries. However, this task is more intricate, when there is not an organized procedure between people, government and technology. In this research it was studied and proposed strategies, to optimize the waste collection by technical suggestions, that were based on mathematical analysis and new technologies applications of sensors based on nanostructures due to this kind of sensors have good performance to measure physical variables in not simple places and conditions, such as around waste. Hence the reason, this work is prepared to contribute in the development of sensors based on nanostructures according to detect the physical variables: temperature, humidity, infrared reflection, moreover carbon dioxide (CO2) and methane (CH4) gases, which help to monitor the consequences of a not correct waste collection.As dependence on central and local government rules of waste management, it could be possible to find solution about organized waste collection, in which every family and walkers in streets would have the task to select the organic and inorganic garbage before the government trucks take the contents of the garbage trash cans to the landfill garbage dumps. However, many times the trash cans are not taken on time by the government trucks and garbage from them are producing gases and decomposition that causes contamination that damages health. Therefore, in this work there are proposed designed intelligent sensors, which are fixed in the trash cans due to measure physical parameters to give alarm for administrators controllers of boxes and to enhance the garbage selections from homes and streets to the main garbage landfills of the city. In other side, there will not be right solution in the waste collection, no matter the high advantage technologies, while humans could not be sensitive under this problematic. There are cleaned areas in cities, as for example touristic places, nevertheless, there are plenty places, where are not cared and people in streets through residual solids around, hence the technical solution will be useful only whether humans can get the environment caring condition compromise.
https://doi.org/10.1109/ICIEA54703.2022.10006092
Multiphysics simulation of fluid interface shapes in microfluidic systems driven by electrowetting on dielectrics. - In: Journal of applied physics, ISSN 1089-7550, Bd. 132 (2022), 22, S. 224702-1-224702-17
We present a highly efficient simulation method for the calculation of three-dimensional quasi-static interface shapes under the influence of electric fields. The method is especially useful for the simulation of microfluidic systems driven by electrowetting on dielectrics because it accounts automatically and inherently for the highly non-trivial interface shape in the vicinity of the triple-phase contact. In particular, the voltage independence of the local contact angle predicted based on analytical considerations is correctly reproduced in all our simulations. For the calculation of the shape of the interface, the geometry is triangulated and the mesh nodes are shifted until the system energy becomes minimal. The same mesh is also used to calculate the electric field using the boundary-element method. Therefore, only the surface of the geometry needs to be meshed, and no volume meshes are involved. The method can be used for the simulation of closed systems with a constant volume (e.g., droplet-based microfluidics) while preserving the volume very precisely as well as open systems (e.g., the liquid-air interface within micro-cavities or capillaries). Additional effects, such as the influence of gravitational forces, can easily be taken into account. In contrast to other efficient simulations, such as the volume-of-fluid, level-set, or phase-field methods, ideally, sharp interfaces are obtained. We calculate interface shapes for exemplary systems and compare with analytical as well as experimental results.
https://doi.org/10.1063/5.0110149
Microfluidically-assisted isolation and characterization of Achromobacter spanius from soils for microbial degradation of synthetic polymers and organic solvents. - In: Environments, ISSN 2076-3298, Bd. 9 (2022), 12, 147, S. 1-17
A micro segmented-flow approach was utilized for the isolation soil bacteria that can degrade synthetic polymers as polyethylene glycols (PEG) and polyacrylamide (PAM). We had been able to obtain many strains; among them, five Achromobacter spanius strains from soil samples of specific sampling sites that were connected with ancient human impacts. In addition to the characterization of community responses and isolating single strains, this microfluidic approach allowed for investigation of the susceptibility of Achromobacter spanius strains against three synthetic polymers, including PEG, PAM, and Polyvinylpyrrolidone (PVP) and two organic solvents known as 1,4-dioxane and diglyme. The small stepwise variation of effector concentrations in 500 nL droplets provides a detailed reflection of the concentration-dependent response of bacterial growth and endogenous autofluorescence activity. As a result, all five strains can use PEG600 as carbon source. Furthermore, all strains showed similar dose-response characteristics in 1,4-dioxane and diglyme. However, significantly different PAM- and PVP-tolerances were found for these strains. Samples from the surface soil of prehistorical rampart areas supplied a strain capable of degradation of PEG, PVP, and PAM. This study demonstrates on the one hand, the potential of microsegment flow for miniaturized dose-response screening studies and its ability to detect novel strains, and on the other hand, two of five isolated Achromobacter spanius strains may be useful in providing optimal growth conditions in bioremediation and biodegradation processes.
https://doi.org/10.3390/environments9120147
Funnel model predictive control for nonlinear systems with relative degree one. - In: SIAM journal on control and optimization, ISSN 1095-7138, Bd. 60 (2022), 6, S. 3358-3383
We show that Funnel MPC, a novel model predictive control (MPC) scheme, allows tracking of smooth reference signals with prescribed performance for nonlinear multi-input multioutput systems of relative degree one with stable internal dynamics. The optimal control problem solved in each iteration of funnel MPC resembles the basic idea of penalty methods used in optimization. To this end, we present a new stage cost design to mimic the high-gain idea of (adaptive) funnel control. We rigorously show initial and recursive feasibility of funnel MPC without imposing terminal conditions or other requirements like a sufficiently long prediction horizon.
https://doi.org/10.1137/21M1431655
On the theory of the spin I = 1/2 double quantum NMR: effects of spins spatial displacements between RF pulses. - In: The journal of chemical physics, ISSN 1089-7690, Bd. 157 (2022), 22, S. 224108-1-224108-7
Spatial displacements of spins between radio frequency pulses in a Double-Quantum (DQ) nuclear magnetic resonance pulse sequence generate additional terms in the effective DQ Hamiltonian. We derive a simple expression that allows the estimation and control of these contributions to the initial rise of the DQ build up function by variation of experimental parameters in systems performing anomalous diffusion. The application of polymers is discussed.
https://doi.org/10.1063/5.0124510