Article
Refine
Year of publication
- 2022 (91) (remove)
Institute
- Fachbereich Medizintechnik und Technomathematik (34)
- IfB - Institut für Bioengineering (22)
- Fachbereich Chemie und Biotechnologie (14)
- INB - Institut für Nano- und Biotechnologien (13)
- Fachbereich Energietechnik (10)
- ECSM European Center for Sustainable Mobility (6)
- Fachbereich Bauingenieurwesen (6)
- Fachbereich Luft- und Raumfahrttechnik (6)
- Fachbereich Wirtschaftswissenschaften (6)
- Fachbereich Elektrotechnik und Informationstechnik (5)
Document Type
- Article (91) (remove)
Keywords
- Chemometrics (2)
- Earthquake (2)
- Heparin (2)
- NMR spectroscopy (2)
- biosensors (2)
- damage (2)
- Actuator disk modelling (1)
- Algal Turf Scrubber (1)
- Algal–bacterial bioflm (1)
- Alkalihalobacillus okhensis (1)
- Alzheimer's disease (1)
- Anforderungen (1)
- Anschlüsse an Stahlbeton (1)
- Artificial intelligence (1)
- Assembly (1)
- Automated driving (1)
- Automotive application (1)
- BET (1)
- BIM (1)
- Basisisolierung (1)
- Bauwerksüberwachung (1)
- Behaviour factor q (1)
- Benchmark (1)
- Biocomposites (1)
- Biogas (1)
- Biomass (1)
- Biomechanical simulation (1)
- Bootstrapping (1)
- Boundary integral equations (1)
- Brake set-up (1)
- Brake test (1)
- Bundesrepublik Deutschland (1)
- CAV (1)
- CFD propeller simulation (1)
- Categorial variable (1)
- Cementoblast (1)
- Circular bioeconomy (1)
- Civil engineering (1)
- Clinical decision support systems (1)
- Collective risk model (1)
- Compression (1)
- Concomitant (1)
- Conductive boundary condition (1)
- Crude heparin (1)
- DIN EN 1996 (1)
- Datenschutz (1)
- Decoupling (1)
- Deep Learning (1)
- Drinfeld modules (1)
- Dynamic simulation (1)
- ES-FEM (1)
- Eingespannte Stützen und Träger (1)
- Einspanntiefen (1)
- Elektroenzephalographie (1)
- Empirical process (1)
- Explainability (1)
- FS-FEM (1)
- Feature selection (1)
- Finite element analysis (1)
- Forces (1)
- Fracture classification (1)
- Fracture configuration (1)
- Fracture simulation (1)
- Freight rail (1)
- Gamification (1)
- Genetic algorithm (1)
- Gesundheitswesen (1)
- Haemodialysis (1)
- Handbike (1)
- Hazard assessment (1)
- Heterostructure (1)
- Higher derivations (1)
- INSYSME (1)
- IR spectroscopy (1)
- Image Reconstruction (1)
- Imaging (1)
- In-plane performance, isolation (1)
- Incident analysis (1)
- Independence test (1)
- Infill wall design (1)
- Informationstechnik (1)
- Inorganic ions (1)
- Instructional design (1)
- Interstellar objects (1)
- Inverse spectral problem (1)
- Ions (1)
- Justice (1)
- Landslide tsunamis (1)
- Large scale tests (1)
- Level system (1)
- Lidar (1)
- Linear elastic analysis (1)
- Machine learning (1)
- Masonry infill (1)
- Mauerwerksgebäude (1)
- Measurement models (1)
- Measurement uncertainty (1)
- Mechanotransduction (1)
- Medical AI (1)
- Metascintillator (1)
- Methane (1)
- Microcirculation (1)
- Mild cognitive impairment (1)
- Missions (1)
- Modelling (1)
- Modern constructions (1)
- Molecular modelling (1)
- Molecular weight determination (1)
- Molten salt receiver system (1)
- Molten salt solar tower (1)
- Momentenverteilung (1)
- Monitoring (1)
- Monte Carlo Tree Search (1)
- Morphing (1)
- Multiple TOF kernels (1)
- Myocardial infarction and cardiac death (1)
- NMR (1)
- Natural fibres (1)
- Normative standards (1)
- Numerical modelling (1)
- Overland flow (1)
- PLS-regression (1)
- Paralympic sport (1)
- Periods (1)
- Polymer-matrix composites (1)
- Probability distribution mapping (1)
- Propeller aerodynamics (1)
- Propeller performance (1)
- Proper Orthogonal Decomposition (1)
- Proximal humerus fracture (1)
- Psychiatrische Biomarker (1)
- Pulsations (1)
- Q-criterion (1)
- Quality control (1)
- Quantum chemistry (1)
- Rahmentragwirkung (1)
- Rechtsgebiet (1)
- Reinforced concrete frame (1)
- Retinal vessel analysis (1)
- Retinal vessels (1)
- Rotator cuff (1)
- S-FEM (1)
- Schlafspindeldetektion (1)
- Seismic design (1)
- Seismic loading (1)
- Self-driving (1)
- Sensor (1)
- Shoulder (1)
- Solitary waves (1)
- Sprachassistent (1)
- Sprachsteuerung (1)
- Stahlprofile (1)
- Standardization (1)
- Stress concentrations (1)
- Structural design (1)
- TOF PET (1)
- Tension (1)
- Train composition (1)
- Trajectories (1)
- Transcendence (1)
- Transient flux distribution (1)
- Transmission eigenvalues (1)
- Two-phase modelling (1)
- USP (1)
- Umsetzbarkeit (1)
- Unreinforced masonry buildings (1)
- User study (1)
- Vasomotions (1)
- Virtual reality (1)
- Wand-Decken-Interaktion (1)
- additive manufacturing (1)
- adipose-derived stromal cells (ASCs) (1)
- aminooctanethiol (1)
- anaesthetic complications (1)
- anisotropy (1)
- aortic perfusion (1)
- aseptic parameters (1)
- atomic layer deposition (1)
- automated vehicles (1)
- bacterial cellulose (1)
- batteries and fuel cells (1)
- bi-enzyme biosensor (1)
- biaxial tensile experiment (1)
- biocompatible materials (1)
- biodegradable electronic devices (1)
- biopotential electrodes (1)
- body imaging at 7 T MRI (1)
- bootstrap (1)
- borefields (1)
- borehole disposal (1)
- capacitive field-effect sensor (1)
- capacitive field-effect sensors (1)
- capacitive model (1)
- carbon electrodes (1)
- cell aerosolization (1)
- cell atomization (1)
- cerebral small vessel disease (1)
- chance constrained programming (1)
- coculture (1)
- cognitive impairment (1)
- coherent structures (1)
- computational fluid dynamics analysis (1)
- connected automated vehicles (1)
- constitutive modeling (1)
- correlation (1)
- crystallization (1)
- dental trauma (1)
- detergent protease (1)
- dialysis (1)
- difficult airway (1)
- disposal facility (1)
- distorted element (1)
- double-lumen tube intubation (1)
- electrolyte-insulator-semiconductor capacitors (1)
- electrospinning (1)
- endoluminal (1)
- energy (1)
- enzyme-logic gate (1)
- exopolysaccharides (1)
- experimental evaluation (1)
- extracorporeal membrane oxygenation (1)
- eye movement modelling examples (1)
- fibers (1)
- field-effect sensor (1)
- force generation (1)
- forehead EEG (1)
- frequency mixing magnetic detection (1)
- fused filament fabrication (1)
- gaseous hydrogen peroxide (1)
- geological disposal (1)
- geothermal (1)
- glucose (1)
- gold nanoparticles (1)
- halotolerant protease (1)
- high-alkaline subtilisin (1)
- high-intensity exercise (1)
- hydraulic modelling (1)
- hyperelastic (1)
- ignition (1)
- impedance spectroscopy (1)
- in-ear EEG (1)
- irradiation (1)
- limit analysis (1)
- magnetic nanoparticles (1)
- magnetic sensors (1)
- microplasma (1)
- microwave (MW) plasma (1)
- model performance (1)
- multi-sensing platform (1)
- muscle fascicle behavior (1)
- nanoparticle coverage (1)
- non-simplex S-FEM elements (1)
- nuclear waste (1)
- oxidative stable protease (1)
- pH sensors (1)
- penicillinase (1)
- performance testing (1)
- plasma jet (1)
- polyetheretherketone (1)
- porous materials (1)
- prebiotic (1)
- pullulan (1)
- rapid tooling (1)
- reliability of structures (1)
- retention time (1)
- retinal vessels (1)
- sEMG (1)
- shakedown analysis (1)
- simulation (1)
- sizing (1)
- smooth muscle contraction (1)
- spore kill rate (1)
- steel profiles (1)
- sterility (1)
- stochastic programming (1)
- strain energy function (1)
- survival (1)
- t-modules (1)
- tendon rupture (1)
- thermal dose (1)
- tissue temperature (1)
- tobacco mosaic virus (TMV) (1)
- transmit antenna arrays (1)
- tri-lineage differentiation (1)
- twin-fluid atomizer (1)
- ultrasound imaging (1)
- ultrathin gate insulators (1)
- urease (1)
- video learning (1)
- videolaryngoscopy (1)
- virgin passive (1)
- viscoelasticity (1)
- walking gait (1)
- · Psychiatrische Erkrankungen/Diagnostik (1)
Virtual Reality (VR) offers novel possibilities for remote training regardless of the availability of the actual equipment, the presence of specialists, and the training locations. Research shows that training environments that adapt to users' preferences and performance can promote more effective learning. However, the observed results can hardly be traced back to specific adaptive measures but the whole new training approach. This study analyzes the effects of a combined point and leveling VR-based gamification system on assembly training targeting specific training outcomes and users' motivations. The Gamified-VR-Group with 26 subjects received the gamified training, and the Non-Gamified-VR-Group with 27 subjects received the alternative without gamified elements. Both groups conducted their VR training at least three times before assembling the actual structure. The study found that a level system that gradually increases the difficulty and error probability in VR can significantly lower real-world error rates, self-corrections, and support usages. According to our study, a high error occurrence at the highest training level reduced the Gamified-VR-Group's feeling of competence compared to the Non-Gamified-VR-Group, but at the same time also led to lower error probabilities in real-life. It is concluded that a level system with a variable task difficulty should be combined with carefully balanced positive and negative feedback messages. This way, better learning results, and an improved self-evaluation can be achieved while not causing significant impacts on the participants' feeling of competence.
Biocompatibility, flexibility and durability make polydimethylsiloxane (PDMS) membranes top candidates in biomedical applications. CellDrum technology uses large area, <10 µm thin membranes as mechanical stress sensors of thin cell layers. For this to be successful, the properties (thickness, temperature, dust, wrinkles, etc.) must be precisely controlled. The following parameters of membrane fabrication by means of the Floating-on-Water (FoW) method were investigated: (1) PDMS volume, (2) ambient temperature, (3) membrane deflection and (4) membrane mechanical compliance. Significant differences were found between all PDMS volumes and thicknesses tested (p < 0.01). They also differed from the calculated values. At room temperatures between 22 and 26 °C, significant differences in average thickness values were found, as well as a continuous decrease in thicknesses within a 4 °C temperature elevation. No correlation was found between the membrane thickness groups (between 3–4 µm) in terms of deflection and compliance. We successfully present a fabrication method for thin bio-functionalized membranes in conjunction with a four-step quality management system. The results highlight the importance of tight regulation of production parameters through quality control. The use of membranes described here could also become the basis for material testing on thin, viscous layers such as polymers, dyes and adhesives, which goes far beyond biological applications.
Advances in polymer science have significantly increased polymer applications in life sciences. We report the use of free-standing, ultra-thin polydimethylsiloxane (PDMS) membranes, called CellDrum, as cell culture substrates for an in vitro wound model. Dermal fibroblast monolayers from 28- and 88-year-old donors were cultured on CellDrums. By using stainless steel balls, circular cell-free areas were created in the cell layer (wounding). Sinusoidal strain of 1 Hz, 5% strain, was applied to membranes for 30 min in 4 sessions. The gap circumference and closure rate of un-stretched samples (controls) and stretched samples were monitored over 4 days to investigate the effects of donor age and mechanical strain on wound closure. A significant decrease in gap circumference and an increase in gap closure rate were observed in trained samples from younger donors and control samples from older donors. In contrast, a significant decrease in gap closure rate and an increase in wound circumference were observed in the trained samples from older donors. Through these results, we propose the model of a cell monolayer on stretchable CellDrums as a practical tool for wound healing research. The combination of biomechanical cell loading in conjunction with analyses such as gene/protein expression seems promising beyond the scope published here.
This work introduces a novel method for the detection of H₂O₂ vapor/aerosol of low concentrations, which is mainly applied in the sterilization of equipment in medical industry. Interdigitated electrode (IDE) structures have been fabricated by means of microfabrication techniques. A differential setup of IDEs was prepared, containing an active sensor element (active IDE) and a passive sensor element (passive IDE), where the former was immobilized with an enzymatic membrane of horseradish peroxidase that is selective towards H₂O₂. Changes in the IDEs’ capacitance values (active sensor element versus passive sensor element) under H₂O₂ vapor/aerosol atmosphere proved the detection in the concentration range up to 630 ppm with a fast response time (<60 s). The influence of relative humidity was also tested with regard to the sensor signal, showing no cross-sensitivity. The repeatability assessment of the IDE biosensors confirmed their stable capacitive signal in eight subsequent cycles of exposure to H₂O₂ vapor/aerosol. Room-temperature detection of H₂O₂ vapor/aerosol with such miniaturized biosensors will allow a future three-dimensional, flexible mapping of aseptic chambers and help to evaluate sterilization assurance in medical industry.
In this study, an online multi-sensing platform was engineered to simultaneously evaluate various process parameters of food package sterilization using gaseous hydrogen peroxide (H₂O₂). The platform enabled the validation of critical aseptic parameters. In parallel, one series of microbiological count reduction tests was performed using highly resistant spores of B. atrophaeus DSM 675 to act as the reference method for sterility validation. By means of the multi-sensing platform together with microbiological tests, we examined sterilization process parameters to define the most effective conditions with regards to the highest spore kill rate necessary for aseptic packaging. As these parameters are mutually associated, a correlation between different factors was elaborated. The resulting correlation indicated the need for specific conditions regarding the applied H₂O₂ gas temperature, the gas flow and concentration, the relative humidity and the exposure time. Finally, the novel multi-sensing platform together with the mobile electronic readout setup allowed for the online and on-site monitoring of the sterilization process, selecting the best conditions for sterility and, at the same time, reducing the use of the time-consuming and costly microbiological tests that are currently used in the food package industry.
Unsteady shallow meandering flows in rectangular reservoirs: a modal analysis of URANS modelling
(2022)
Shallow flows are common in natural and human-made environments. Even for simple rectangular shallow reservoirs, recent laboratory experiments show that the developing flow fields are particularly complex, involving large-scale turbulent structures. For specific combinations of reservoir size and hydraulic conditions, a meandering jet can be observed. While some aspects of this pseudo-2D flow pattern can be reproduced using a 2D numerical model, new 3D simulations, based on the unsteady Reynolds-Averaged Navier-Stokes equations, show consistent advantages as presented herein. A Proper Orthogonal Decomposition was used to characterize the four most energetic modes of the meandering jet at the free surface level, allowing comparison against experimental data and 2D (depth-averaged) numerical results. Three different isotropic eddy viscosity models (RNG k-ε, k-ε, k-ω) were tested. The 3D models accurately predicted the frequency of the modes, whereas the amplitudes of the modes and associated energy were damped for the friction-dominant cases and augmented for non-frictional ones. The performance of the three turbulence models remained essentially similar, with slightly better predictions by RNG k-ε model in the case with the highest Reynolds number. Finally, the Q-criterion was used to identify vortices and study their dynamics, assisting on the identification of the differences between: i) the three-dimensional phenomenon (here reproduced), ii) its two-dimensional footprint in the free surface (experimental observations) and iii) the depth-averaged case (represented by 2D models).
Landslides, rock falls or related subaerial and subaqueous mass slides can generate devastating impulse waves in adjacent waterbodies. Such waves can occur in lakes and fjords, or due to glacier calving in bays or at steep ocean coastlines. Infrastructure and residential houses along coastlines of those waterbodies are often situated on low elevation terrain, and are potentially at risk from inundation. Impulse waves, running up a uniform slope and generating an overland flow over an initially dry adjacent horizontal plane, represent a frequently found scenario, which needs to be better understood for disaster planning and mitigation. This study presents a novel set of large-scale flume test focusing on solitary waves propagating over a 1:14.5 slope and breaking onto a horizontal section. Examining the characteristics of overland flow, this study gives, for the first time, insight into the fundamental process of overland flow of a broken solitary wave: its shape and celerity, as well as its momentum when wave breaking has taken place beforehand.
Utilizing an appropriate enzyme immobilization strategy is crucial for designing enzyme-based biosensors. Plant virus-like particles represent ideal nanoscaffolds for an extremely dense and precise immobilization of enzymes, due to their regular shape, high surface-to-volume ratio and high density of surface binding sites. In the present work, tobacco mosaic virus (TMV) particles were applied for the co-immobilization of penicillinase and urease onto the gate surface of a field-effect electrolyte-insulator-semiconductor capacitor (EISCAP) with a p-Si-SiO₂-Ta₂O₅ layer structure for the sequential detection of penicillin and urea. The TMV-assisted bi-enzyme EISCAP biosensor exhibited a high urea and penicillin sensitivity of 54 and 85 mV/dec, respectively, in the concentration range of 0.1–3 mM. For comparison, the characteristics of single-enzyme EISCAP biosensors modified with TMV particles immobilized with either penicillinase or urease were also investigated. The surface morphology of the TMV-modified Ta₂O₅-gate was analyzed by scanning electron microscopy. Additionally, the bi-enzyme EISCAP was applied to mimic an XOR (Exclusive OR) enzyme logic gate.
Acetoin and diacetyl have a major impact on the flavor of alcoholic beverages such as wine or beer. Therefore, their measurement is important during the fermentation process. Until now, gas chromatographic techniques have typically been applied; however, these require expensive laboratory equipment and trained staff, and do not allow for online monitoring. In this work, a capacitive electrolyte–insulator–semiconductor sensor modified with tobacco mosaic virus (TMV) particles as enzyme nanocarriers for the detection of acetoin and diacetyl is presented. The enzyme acetoin reductase from Alkalihalobacillus clausii DSM 8716ᵀ is immobilized via biotin–streptavidin affinity, binding to the surface of the TMV particles. The TMV-assisted biosensor is electrochemically characterized by means of leakage–current, capacitance–voltage, and constant capacitance measurements. In this paper, the novel biosensor is studied regarding its sensitivity and long-term stability in buffer solution. Moreover, the TMV-assisted capacitive field-effect sensor is applied for the detection of diacetyl for the first time. The measurement of acetoin and diacetyl with the same sensor setup is demonstrated. Finally, the successive detection of acetoin and diacetyl in buffer and in diluted beer is studied by tuning the sensitivity of the biosensor using the pH value of the measurement solution.
Dynamic retinal vessel analysis (DVA) provides a non-invasive way to assess microvascular function in patients and potentially to improve predictions of individual cardiovascular (CV) risk. The aim of our study was to use untargeted machine learning on DVA in order to improve CV mortality prediction and identify corresponding response alterations.
Bacterial cellulose (BC) is a biopolymer produced by different microorganisms, but in biotechnological practice, Komagataeibacter xylinus is used. The micro- and nanofibrillar structure of BC, which forms many different-sized pores, creates prerequisites for the introduction of other polymers into it, including those synthesized by other microorganisms. The study aims to develop a cocultivation system of BC and prebiotic producers to obtain BC-based composite material with prebiotic activity. In this study, pullulan (PUL) was found to stimulate the growth of the probiotic strain Lactobacillus rhamnosus GG better than the other microbial polysaccharides gellan and xanthan. BC/PUL biocomposite with prebiotic properties was obtained by cocultivation of Komagataeibacter xylinus and Aureobasidium pullulans, BC and PUL producers respectively, on molasses medium. The inclusion of PUL in BC is proved gravimetrically by scanning electron microscopy and by Fourier transformed infrared spectroscopy. Cocultivation demonstrated a composite effect on the aggregation and binding of BC fibers, which led to a significant improvement in mechanical properties. The developed approach for “grafting” of prebiotic activity on BC allows preparation of environmentally friendly composites of better quality.