Article
Refine
Year of publication
Institute
- Fachbereich Medizintechnik und Technomathematik (1354)
- INB - Institut für Nano- und Biotechnologien (503)
- Fachbereich Chemie und Biotechnologie (476)
- Fachbereich Elektrotechnik und Informationstechnik (409)
- IfB - Institut für Bioengineering (404)
- Fachbereich Energietechnik (358)
- Fachbereich Luft- und Raumfahrttechnik (250)
- Fachbereich Maschinenbau und Mechatronik (156)
- Fachbereich Wirtschaftswissenschaften (116)
- Fachbereich Bauingenieurwesen (70)
Language
- English (3277) (remove)
Document Type
- Article (3277) (remove)
Keywords
- Einspielen <Werkstoff> (7)
- avalanche (5)
- Earthquake (4)
- FEM (4)
- Finite-Elemente-Methode (4)
- LAPS (4)
- additive manufacturing (4)
- biosensors (4)
- field-effect sensor (4)
- frequency mixing magnetic detection (4)
- Additive Manufacturing (3)
- CellDrum (3)
- Heparin (3)
- Label-free detection (3)
- SLM (3)
- capacitive field-effect sensor (3)
- hydrogen peroxide (3)
- impedance spectroscopy (3)
- magnetic nanoparticles (3)
- shakedown analysis (3)
- snow (3)
- sustainability (3)
- tobacco mosaic virus (TMV) (3)
- Acyl-amino acids (2)
- Additive manufacturing (2)
- Aeroelasticity (2)
- Aminoacylase (2)
- Bacillaceae (2)
- Bacillus atrophaeus (2)
- Biosolubilization (2)
- Biotechnological application (2)
- Boundary integral equations (2)
- Brake set-up (2)
- Butanol (2)
- CFD (2)
- Capacitive field-effect sensor (2)
- Chemometrics (2)
- Coal (2)
- Conductive boundary condition (2)
- Drinfeld modules (2)
- Einspielanalyse (2)
- Empirical process (2)
- Fault detection (2)
- Field-effect sensor (2)
- Freight rail (2)
- Germany (2)
- Goodness-of-fit test (2)
- Hot S-parameter (2)
- IR spectroscopy (2)
- Independence test (2)
- LPBF (2)
- Light-addressable potentiometric sensor (2)
- Lipopolysaccharide (2)
- MINLP (2)
- Methane (2)
- NMR spectroscopy (2)
- Obstacle avoidance (2)
- Paired sample (2)
- Parametric bootstrap (2)
- Path planning (2)
- Principal component analysis (2)
- Pump System (2)
- Raman spectroscopy (2)
- Shakedown analysis (2)
- Simulation (2)
- Spectroscopy (2)
- Standardization (2)
- Stiffness (2)
- Subtilases (2)
- Subtilisin (2)
- Traglastanalyse (2)
- Transcendence (2)
- Transmission eigenvalues (2)
- UAV (2)
- bacterial cellulose (2)
- bubble column (2)
- capacitive field-effect sensors (2)
- carbonized rice husk (2)
- constructive alignment (2)
- damage (2)
- energy efficiency (2)
- examination (2)
- factory planning (2)
- fused filament fabrication (2)
- gold nanoparticles (2)
- harmonic radar (2)
- immobilization (2)
- light-addressable potentiometric sensor (2)
- likelihood ratio test (2)
- limit analysis (2)
- locomotion (2)
- long-term retention (2)
- manufacturing flexibility (2)
- methanation (2)
- microfluidics (2)
- multimodal (2)
- muscle fascicle behavior (2)
- not identically distributed (2)
- penicillinase (2)
- plug flow reactor (2)
- practical learning (2)
- prebiotic (2)
- qNMR (2)
- rapid tooling (2)
- rebound-effect (2)
- remote sensing (2)
- renewable resources (2)
- shakedown (2)
- t-modules (2)
- ultrasound (2)
- ultrasound imaging (2)
- (Bio)degradation (1)
- (Poly)saccharides (1)
- 197m/gHg (1)
- 1P hub loads (1)
- 3-D printing (1)
- 316L (1)
- 3D nonlinear finite element model (1)
- 802.15.4 (1)
- A. succinogenes (1)
- ABE (1)
- AI ethics (1)
- AM implementation (1)
- Acceleration (1)
- Accessibility (1)
- Achilles tendon (1)
- Acid crash (1)
- Active humidity control (1)
- Actors (1)
- Actuator disk modelling (1)
- Acylation (1)
- Adaptive control (1)
- Afterload (1)
- Ageing (1)
- Air purification (1)
- Aircraft sizing (1)
- Algal Turf Scrubber (1)
- Algal–bacterial bioflm (1)
- Alginate beads (1)
- Alkalihalobacillus okhensis (1)
- Aloe vera (1)
- AlterG (1)
- Alternating plasticity (1)
- Alzheimer's disease (1)
- Analysis (1)
- Analytischer Zulaessigkeitsnachweis (1)
- Anammox (1)
- Anastomotic leakage (1)
- Anatomy (1)
- Annulus Fibrosus (1)
- Antarctic Glaciology (1)
- Antibias (1)
- Architectural design (1)
- Architectural gear ratio (1)
- Artificial intelligence (1)
- Assembly (1)
- Assistive technology (1)
- Asymptotic efficiency (1)
- Authenticity (1)
- Autolysis (1)
- Automated driving (1)
- Automatic control (1)
- Automotive application (1)
- Automotive safety approach (1)
- Autonomy (1)
- Avalanche (1)
- Axialbelastung (1)
- Axially cracked pipe (1)
- BET (1)
- Bacillus atrophaeus spores (1)
- Bacillus sp (1)
- Bacterial cellulose (1)
- Balance (1)
- Balanced hypergraph (1)
- Bank-issued Warrants (1)
- Basis Reduktion (1)
- Basis reduction (1)
- Bauingenieurwesen (1)
- Bayesian statistics (1)
- Behaviour factor q (1)
- Benchmark (1)
- Bicharakteristikenverfahren (1)
- Bio-inspired systems (1)
- Bioabsorbable (1)
- Biobeneficiation (1)
- Biocatalysis (1)
- Biocomposites (1)
- Biofuel (1)
- Biogas (1)
- Biomass (1)
- Biomechanical simulation (1)
- Bioreaktor (1)
- Biorefinery (1)
- Biosurfactants (1)
- Blade element method (1)
- Bloom’s Taxonomy (1)
- Bluetooth (1)
- Blutzellenlagerung (1)
- Bone quality and biomechanics (1)
- Booster Station (1)
- Booster Stations (1)
- Bootstrap (1)
- Bootstrapping (1)
- Borehole heat exchanger (1)
- Boundary integral equations, (1)
- Bragg peak (1)
- Brake test (1)
- Braking curves (1)
- Brands (1)
- Broad pH spectrum (1)
- Brownian Pillow (1)
- Buffering Capacity (1)
- C. acetobutylicum (1)
- CAD (1)
- CAV (1)
- CFD propeller simulation (1)
- CNOT (1)
- CO2 (1)
- CO2 emission reduction targets (1)
- CRISPR/Cas9 (1)
- Calorimetric gas sensor (1)
- Capacitive field-effect (1)
- Capacitive model (1)
- Carbon sources (1)
- Cardiac myocytes (1)
- Cardiac tissue (1)
- Cardiovascular MRI (1)
- Cardiovascular Magnetic Resonance (1)
- Carrier solvents (1)
- Categorial variable (1)
- Cell permeability (1)
- Cellular force (1)
- Cellulose nanostructure (1)
- Cement infiltration (1)
- Cementoblast (1)
- Censored data (1)
- Centrifugal twisting moment (1)
- Chance Constraint (1)
- Change (1)
- Chaperone (1)
- Chaperone co-expression (1)
- Charging station (1)
- Chemical images (1)
- Chemical imaging sensor (1)
- Chemical sensor (1)
- Chondroitin sulfate (1)
- Circuit simulation (1)
- Circular Dichroism (1)
- Circular bioeconomy (1)
- Civil engineering (1)
- Clinical decision support systems (1)
- Clostridium acetobutylicum (1)
- Clusterion (1)
- Co-managed care (1)
- Collective risk model (1)
- Commercial Vehicle (1)
- Common Rail Injection System (1)
- Competence Developing Games (1)
- Competitiveness (1)
- Complex System (1)
- Complex-valued eigenvalues (1)
- Compliance (1)
- Compression (1)
- Computational biomechanics (1)
- Concomitant (1)
- Conditions (1)
- Conductive Boundary Condition (1)
- Consensus (1)
- Conservation laws (1)
- Constitutive model (1)
- Contractile tension (1)
- Contractility (1)
- Convex optimization (1)
- Cost function (1)
- Cost-effectiveness (1)
- Coverage probability (1)
- Cramér-von-Mises statistic (1)
- Cramér-von-Mises test (1)
- Crashworthiness (1)
- Cross border adjustment mechanism (1)
- Crude heparin (1)
- Crámer–von-Mises distance (1)
- Culture media (1)
- Cyclotron production (1)
- C–V method (1)
- DAC (1)
- DLR-ESTEC GOSSAMER roadmap for solar sailing (1)
- DNA biosensor (1)
- DNA hybridization (1)
- DPA (dipicolinic acid) (1)
- Damage mechanics theory (1)
- Data-driven models (1)
- Decomposition (1)
- Decoupling (1)
- Deformation (1)
- Dehydrogenase (1)
- Design process (1)
- Design-by-analysis (1)
- Detergent protease (1)
- Deuterated solvents (1)
- Deuterium NMR (1)
- Diaphorase (1)
- Diesel Engine (1)
- Dietary supplements (1)
- Dimensional splitting (1)
- Disc Degeneration (1)
- Discontinuous fractures (1)
- Discourse ethics (1)
- Discrete Optimization (1)
- Disposition Effect (1)
- Distributed Control Systems, (1)
- Diversity Management (1)
- Drag estimation (1)
- Driver assistance system (1)
- Driving cycle recognition (1)
- Druckbeanspruchung (1)
- Druckbehälter (1)
- Druckbelastung (1)
- Druckgeräte (1)
- Drug simulation (1)
- Drugs (1)
- Dry-low-NOx (DLN) combustion (1)
- Duality (1)
- Dynamic simulation (1)
- E-Mobility (1)
- E. coli detection (1)
- ECMS (1)
- EGG (1)
- EIS capacitive sensor (1)
- ELISA (1)
- ES-FEM (1)
- Easy read (1)
- Effective modal mass (1)
- Eigenvalue trajectories (1)
- Einspiel-Analyse (1)
- Einspiel-Kriterium (1)
- Einspielen (1)
- Elastizität (1)
- Elderly (1)
- Electrochemical impedance spectroscopy (1)
- Electrolyte–insulator–semiconductor (1)
- Electromagnetism (1)
- Electromechanical modeling (1)
- Electronic cigarettes (1)
- Electronic vehicle (1)
- Elemental (1)
- Emilia-Romagna earthquake (1)
- Empirical consequence curves (1)
- Empirical fragility functions (1)
- End-to-end colorectal anastomosis (1)
- Endothelial cells (1)
- Endothelial dysfunction (1)
- Energy management strategies (1)
- Energy-efficient ventilation (1)
- Energy-intensive industry (1)
- Engineering Application (1)
- Engineering Habitus (1)
- Enterprise information systems (1)
- Entropy solution (1)
- Environmental impact (1)
- Enzymatic biosensor (1)
- Enzyme coverage (1)
- Enzyme logic gate (1)
- Enzyme-linked immunosorbent assay (1)
- Epithel (1)
- Equivalence test (1)
- Esophageal Doppler monitor (1)
- European Transient Cycle (1)
- Eutectic Silver Copper alloy (1)
- Experiment (1)
- Experimental validation (1)
- Explainability (1)
- Exponential Euler scheme, (1)
- Exponential time differencing (1)
- Extension–twist coupling (1)
- External knee adduction moments (1)
- Extracellular enzymes (1)
- Extraterrestrial Glaciology (1)
- FS-FEM (1)
- Factory Planning (1)
- Fall prevention (1)
- Fault approximation (1)
- Feature selection (1)
- Fehlerstellen (1)
- Fibroblast (1)
- Field effect (1)
- Field-effect biosensor (1)
- Finite difference methods (1)
- Finite differences (1)
- Finite element analysis (1)
- Finite element method (1)
- Finite element modelling (1)
- Finland (1)
- Fließgrenze (1)
- Floor prices (1)
- Flutter (1)
- Force (1)
- Forces (1)
- Fracture classification (1)
- Fracture configuration (1)
- Fracture simulation (1)
- Frame structure (1)
- Free-base nicotine (1)
- Freeze–thaw process (1)
- Frequency adaption (1)
- Frequency mixing magnetic detection (1)
- Fuel cell (1)
- Full-vehicle crash test (1)
- Functional Delta Method (1)
- Furnace (1)
- Fused Filament Fabrication (1)
- Fusion (1)
- GIS (1)
- GOSSAMER-1 (1)
- Ga-68 (1)
- Game-based learning (1)
- Gamification (1)
- Gamma distribution (1)
- Genetic algorithm (1)
- Geriatric (1)
- German (1)
- Glaciological instruments and methods (1)
- Glaucoma (1)
- Global and local collapse (1)
- Glucosamine (1)
- Gold nanoparticle (AuNP) (1)
- Gold nanoparticles (1)
- Goodness-of-fit tests for uniformity (1)
- Grenzwertberechnung (1)
- Ground-level falls (1)
- H2 (1)
- Hadamard differentiability (1)
- Haemodialysis (1)
- Hall’s Theorem (1)
- Halotolerant protease (1)
- Handbike (1)
- Harnleiter (1)
- Hazard assessment (1)
- Health management system (1)
- Heart tissue culture (1)
- Heat transport (1)
- Helmholtz equation (1)
- Hemoglobin structure (1)
- Heterostructure (1)
- High field MRI (1)
- High hydrogen combustion (1)
- High-field NMR (1)
- Higher derivations (1)
- Higher-order codes (1)
- Hip fractures (1)
- Hodgkin–Huxley models (1)
- Hoeffding-Blum-Kiefer-Rosenblatt independence test (1)
- Homogenization (1)
- Hotelling’s T² test (1)
- Human Development Index (1)
- Human factors (1)
- Human-Computer interaction (1)
- Hybrid Manufacturing (1)
- Hydrogen combustion (1)
- Hydrogen gas turbine (1)
- Hydrogen peroxide (1)
- Hydrogenotrophic methanogens (1)
- Hyperdifferentials (1)
- Hypergraph (1)
- Hypersecretion (1)
- Hämoglobin (1)
- Hämoglobinstruktur (1)
- INSYSME (1)
- IP-based networks (1)
- IR (1)
- IT security education (1)
- Illustration (1)
- Image Quality Assessment (1)
- Image Quality Score (1)
- Image Reconstruction (1)
- Imaging (1)
- Impedance analysis (1)
- Impedance spectroscopy (1)
- Implicit methods (1)
- In-plane performance, isolation (1)
- Incident analysis (1)
- Inclusion bodies (1)
- Incomplete data (1)
- Individual Investors (1)
- Indoor air quality (1)
- Indoor environmental quality (1)
- Induced pluripotent stem cells (1)
- Industrial Automation Technology, (1)
- Industry 4.0 (1)
- Infill wall design (1)
- Information extraction (1)
- Inorganic ions (1)
- Inotropic compounds (1)
- Instructional design (1)
- Instrumental analysis (1)
- Integrated empirical distribution (survival) function (1)
- Interior Neumann eigenvalues (1)
- Interior transmission eigenvalues (1)
- Interior transmission problem (1)
- Interstellar objects (1)
- Interval Time Series (1)
- Intervertebral Disc (1)
- Intradiscal Pressure (1)
- Inverse Scattering (1)
- Inverse dynamic problem (1)
- Inverse kinematic problem (1)
- Inverse scattering (1)
- Inverse scattering problem (1)
- Inverse spectral problem (1)
- Ion channels (1)
- Ions (1)
- Iterative learning control (1)
- Justice (1)
- Keyword analysis (1)
- Kinetic energy (1)
- Knochen (1)
- Knochenbildung (1)
- Knochenchirugie (1)
- Knochendichte (1)
- Koenig’s Theorem (1)
- Kohlenstofffaser (1)
- LPS (1)
- Lab-on-Chip (1)
- Lactobacillus rhamnosus GG (1)
- Landslide tsunamis (1)
- Langevin theory (1)
- Large language models (1)
- Large scale tests (1)
- Larynx position (1)
- Latvia (1)
- Layer-by-layer adsorption (1)
- LbL films (1)
- Left ventriular function (1)
- Level system (1)
- Li7La3Zr2O12 (1)
- LiDAR (1)
- LiGaO2 (1)
- Lidar (1)
- Lifting propeller (1)
- Light-addressable Potentiometric Sensor (1)
- Lignocellulose (1)
- Limit analysis (1)
- Linear discriminant analysis (1)
- Linear elastic analysis (1)
- Liquid chromatography (1)
- Liver (1)
- Local path planning (1)
- Long COVID (1)
- Low field NMR (1)
- Low-field NMR (1)
- Luftreiniger (1)
- Luxury (1)
- MCDA (1)
- MILP (1)
- MOS (1)
- MR safety (1)
- MR-stethoscope (1)
- MRI (1)
- MST (1)
- MUT measurement; scanner (1)
- Machine learning (1)
- Magnetic field strength (1)
- Magnetic nanoparticles (1)
- Magnetic resonance imaging (MRI) (1)
- Magneto alert sensor (1)
- Mainstream (1)
- Manifestations (1)
- Manipulated variables (1)
- Manufacturer (1)
- Manufacturing Process Chains (1)
- Marginal homogeneity test (1)
- Marker-free mutagenesis (1)
- Masonry infill (1)
- Masonry partition walls (1)
- Master stamp (1)
- Matching (1)
- Materialermüdung (1)
- Matrix exponential (1)
- Measurement models (1)
- Measurement uncertainty (1)
- Mechanotransduction (1)
- Medical AI (1)
- Medical radionuclide production (1)
- Medusomyces gisevi (1)
- Meitner-Auger-electron (MAE) (1)
- Metabolic shift (1)
- Metal contaminants (1)
- Metascintillator (1)
- Methanogenesis (1)
- Microcirculation (1)
- Microfluidic solvent extraction (1)
- Micromagnetic simulation (1)
- Micromix combustion (1)
- Microorganisms (1)
- Mikrosystemtechnik (1)
- Mild cognitive impairment (1)
- Missions (1)
- Mobility (1)
- Mobility tests (1)
- Mobility transition (1)
- Mode converter (1)
- Model-driven software engineering (1)
- Modelica (1)
- Modeling (1)
- Modelling (1)
- Modern constructions (1)
- Molecular modelling (1)
- Molecular weight determination (1)
- Molten salt receiver system (1)
- Molten salt solar tower (1)
- Monotone methods (1)
- Monte Carlo Tree Search (1)
- Morphing (1)
- Multi-criteria decision analysis (1)
- Multi-dimensional partial differential equations (1)
- Multi-objective optimization (1)
- Multi-sample problem (1)
- Multi-storey (1)
- Multianalyte detection (1)
- Multicell (1)
- Multiple TOF kernels (1)
- Multiplexing (1)
- Multirotor UAS (1)
- Muscle (1)
- Muscle Fascicle (1)
- Muscle Force (1)
- Musculoskeletal model (1)
- Musculoskeletal system (1)
- Myocardial infarction and cardiac death (1)
- NGN (1)
- NMR (1)
- NMR exchange relaxometry (1)
- NONOate (1)
- Natural fibres (1)
- Natural frequency (1)
- Natural language processing (1)
- Negative Feedback Trading (1)
- Negative impedance convertor (1)
- Neural Network (1)
- Nitric Oxide (1)
- Nitric Oxide Donor (1)
- Nitrogen removal (1)
- Non-model-based Evaluation (1)
- Non-parallel fissures (1)
- Nonequilibrium dynamics (1)
- Nonlinear Dynamics (1)
- Nonlinear PDEs (1)
- Nonlinear eigenvalue problems (1)
- Normative standards (1)
- Nucleus Pulposus (1)
- Numerical inversion of Laplace transforms (1)
- Numerical linear algebra (1)
- Numerical modelling (1)
- Numerics (1)
- O2 plasma (1)
- Ocular blood flow (1)
- Online diagnostic (1)
- Operational Control (1)
- Operations (1)
- Organic acids (1)
- Organic light-emitting diode display (1)
- Organizational Culture (1)
- Organkultur (1)
- Osteoporose (1)
- Osteoporosis (1)
- Out-of-plane capacity (1)
- Overland flow (1)
- P2G (1)
- PBEE (1)
- PEM fuel cell (1)
- PIV (1)
- PLS-regression (1)
- PM2.5 (1)
- PROFINET (1)
- Parabolic SPDEs (1)
- Paralympic sport (1)
- Parasitic drag (1)
- Parking (1)
- Partial nitritation (1)
- Penicillin (1)
- Periods (1)
- Permeability (1)
- Permeabilität (1)
- Peroxidase (1)
- Pflanzenphysiologie (1)
- Pflanzenscanner (1)
- Pflanzenstress (1)
- Pharmacology (1)
- Photolithographic mimics (1)
- Physiology (1)
- Piping (1)
- Planning process (1)
- Plant virus (1)
- Plasma (1)
- Plasma diagnostics (1)
- Plasmacluster ion technology (1)
- Plastizität (1)
- Poly(allylamine hydrochloride) (1)
- Poly(d,l-lacticacid) (1)
- Polyetheretherketone (PEEK) (1)
- Polyimide (1)
- Polylactide acid (1)
- Polymer-matrix composites (1)
- Polysaccharides (1)
- Porositat (1)
- Post-COVID-19 syndrome (1)
- Potential theory (1)
- Powertrain (1)
- Pre-culture (1)
- Precast buildings (1)
- Prediction of molecular features (1)
- Predictive battery discharge (1)
- Preference assessment (1)
- Pressure loaded crack-face (1)
- Prevention (1)
- Probability distribution mapping (1)
- Process Parameters (1)
- Process virtualization (1)
- Product bundling (1)
- Product-integration (1)
- Progressive plastic deformation (1)
- Propeller (1)
- Propeller aerodynamics (1)
- Propeller elasticity (1)
- Propeller performance (1)
- Propeller whirl flutter (1)
- Proper Orthogonal Decomposition (1)
- Prophylaxis (1)
- Protein structure complexity (1)
- Proximal humerus fracture (1)
- Pulsations (1)
- Pumping systems (1)
- Q-criterion (1)
- Qualitative and quantitative determination (1)
- Quality control (1)
- Quantitative structure activity relationship (1)
- Quantum chemistry (1)
- Quartz crystal microbalance (1)
- RAMMS (1)
- RANSAC (1)
- RVA (1)
- Radar (1)
- Rapid Prototyping (1)
- Rapid Technologie (1)
- Rapid Tooling (1)
- Rapid prototyping (1)
- Ratchetting (1)
- Raumluft (1)
- Reaction-diffusion systems (1)
- Real distinct pole (1)
- Real-time monitoring (1)
- Recombinant activated protein C (1)
- Red blood cell storage (1)
- Regionalization (1)
- Rehabilitation Technology and Prosthetics (1)
- Rehabilitation engineering (1)
- Reinforced concrete frame (1)
- Relative air humidity (1)
- Requirements prioritization (1)
- Requirements relations (1)
- Resampling test (1)
- Reservation system (1)
- Residual Stresses (1)
- Resistive temperature detector (1)
- Resolvent Operator (1)
- Resonance-mode measurement (1)
- Response Surface Method (1)
- Retinal vessel analysis (1)
- Retinal vessels (1)
- Robotic rehabilitation (1)
- Rohr (1)
- Rohrbruch (1)
- Rotary encoder (1)
- Rotator cuff (1)
- Running (1)
- S-FEM (1)
- SFCW (1)
- SOA (1)
- SSE) JEL : O33 (1)
- ScaLAPACK (1)
- Scalar parameters (1)
- Schwammknochen (1)
- Seismic design (1)
- Seismic loading (1)
- Selective Catalytic Reduction (1)
- Selective Laser Melting (SLM) (1)
- Self-driving (1)
- Semi-parametric random censorship model (1)
- Septic cardiomyopathy (1)
- Services (1)
- Shakedown (1)
- Shakedown criterion (1)
- Shape and surface properties (1)
- Shoulder (1)
- Shunting (1)
- Silk fibroin (1)
- Simultaneous determination (1)
- Skeletal muscle (1)
- Slab deflection (1)
- Small Aral Sea (1)
- Small spacecraft (1)
- Snow (1)
- Sn₃O₄ (1)
- Soft independent modeling of class analogy (1)
- Software and systems modeling (1)
- Solar sail (1)
- Solitary waves (1)
- Sound Pressure Level (1)
- Source term (1)
- Spleen (1)
- Stahl (1)
- Steel industry (1)
- Stenotrophomonas maltophilia (1)
- Sterilisation process (1)
- Stochastic Programming (1)
- Streptomyces griseus (1)
- Streptomyces lividans (1)
- Stress concentrations (1)
- Structural design (1)
- Structure and Stages (1)
- Strukturanalyse (1)
- Subclacial exploration (1)
- Subglacial lakes (1)
- Surface imprinted polymer (1)
- Surfactants (1)
- Surgical Navigation and Robotics (1)
- Surgical staplers (1)
- Survival analysis (1)
- Suspension bridge (1)
- TMV adsorption (1)
- TOF PET (1)
- Tank (1)
- Targeted radionuclide therapy (TRT) (1)
- Ta₂O₅ gate (1)
- Technical Operations Research (1)
- Technical Operations Research (TOR) (1)
- Technology Planning (1)
- Telecommunication (1)
- Temperaturabhängigkeit (1)
- Tendon Rupture (1)
- Tendon properties (1)
- Tendons (1)
- Tensile Strength (1)
- Tension (1)
- Thermal conductivity (1)
- Thin shell finite elements (1)
- Tinetti test (1)
- Tissue Engineering (1)
- Tobacco mosaic virus (TMV) (1)
- Tomography (1)
- Tool Making (1)
- Tool support (1)
- Tools (1)
- Trading Behavior (1)
- Traglast (1)
- Train composition (1)
- Trajectories (1)
- Transfer impedance (1)
- Transformation (1)
- Transient flux distribution (1)
- Transmission Eigenvalues (1)
- Trapeze effect (1)
- Two-phase modelling (1)
- Typographie (1)
- USP (1)
- Uktrahigh field MRI (1)
- Ultrasound (1)
- Uncertainty (1)
- Uniaxial compression test (1)
- Unmanned aerial vehicles (1)
- Unreinforced masonry buildings (1)
- Unsteady aerodynamics (1)
- Uracil-phosphoribosyltransferase (1)
- User study (1)
- Utilization improvement (1)
- VM (1)
- VOF (1)
- VOP compression (1)
- Vapnik–Čhervonenkis class (1)
- Variable height stapler design (1)
- Vascular response (1)
- Vasomotions (1)
- Velocity (1)
- Vertebroplastie (1)
- Vertebroplasty (1)
- Vertex cover (1)
- Vibrio natriegens (1)
- Virtual reality (1)
- Virtuelle Maschine (1)
- Viscous flow (1)
- Viskose Strömung (1)
- Viskosität (1)
- Visual field asymmetry (1)
- Voice assessment (1)
- Volterra integral equation (1)
- Volume of confidence regions (1)
- Volume status (1)
- Wastewater (1)
- Water Distribution (1)
- Water Supply Networks (1)
- Weak organic acids (1)
- Welding (1)
- Wiegand sensor (1)
- Wind milling (1)
- Wind tunnel experiments (1)
- Wireless Networks (1)
- Wolff's Law (1)
- Wolffsches Gesetz (1)
- Wundheilung (1)
- XOR (1)
- Zeta potential (1)
- Zug-Druck Belastung (1)
- acetoin (1)
- acetoin reductase (1)
- achilles tendon (1)
- actin cytoskeleton (1)
- actuator-sensor system (1)
- adaptive systems (1)
- adipose-derived stromal cells (ASCs) (1)
- adsorption (1)
- agility (1)
- alcoholic beverages (1)
- allocation (1)
- alternierend Verformbarkeit (1)
- aminooctanethiol (1)
- amperometric biosensors (1)
- anaesthetic complications (1)
- analytical approach (1)
- anammox (1)
- anisotropy (1)
- annealing (1)
- aortic perfusion (1)
- aquaculture (1)
- architectural design (1)
- architectural layered representation (1)
- aromatic amines (1)
- artificial intelligence (1)
- artificial olfactory image (1)
- aseptic parameters (1)
- aspergillus (1)
- assistance system (1)
- asymptotic relative efficiency (1)
- atomic layer deposition (1)
- automated parking (1)
- automated vehicles (1)
- automotive (1)
- autonomous navigation (1)
- availability (1)
- barium strontium titanate (1)
- batch reproducibility (1)
- batteries and fuel cells (1)
- bi-enzyme biosensor (1)
- biaxial tensile experiment (1)
- bicharacteristics (1)
- bio-based economy (1)
- bio-methane (1)
- bioavailability (1)
- bioburdens (1)
- biocompatible (1)
- biocompatible materials (1)
- biodegradabl (1)
- biodegradable electronic devices (1)
- biodegradable polymers (1)
- biofilms (1)
- biological dosimeter (1)
- biological hydrogen (1)
- biomechanics (1)
- biomethane (1)
- biopharmaceutical production process (1)
- biopotential electrodes (1)
- biosensor (1)
- body imaging at 7 T MRI (1)
- body imaging at UHF MRI (1)
- body limbs (1)
- bone density (1)
- bone structure (1)
- bootstrap (1)
- borefields (1)
- borehole disposal (1)
- brachytherapy (1)
- building energy modelling (1)
- building energy simulation (1)
- burst pressure (1)
- burst tests (1)
- business culture (1)
- calorimetric gas sensor (1)
- calorimetric gas sensor;hydrogen peroxide;wireless sensor system (1)
- cancellous bone (1)
- capacitive EIS sensor (1)
- capacitive electrolyte–insulator–semiconductor sensors (1)
- capacitive model (1)
- carbon dioxide removal (1)
- carbon electrodes (1)
- cardiac gating (1)
- cardiomyocyte biomechanics (1)
- cardiovascular MR imaging (1)
- catalytic metal (1)
- cell aerosolization (1)
- cell atomization (1)
- central symmetry test (1)
- cerebral small vessel disease (1)
- chance constrained programming (1)
- change (1)
- change management (1)
- chemical sensor (1)
- chip-based sensor setup (1)
- churches (1)
- civil engineering (1)
- climate change (1)
- climate neutrality (1)
- cobald chrome (1)
- coculture (1)
- cognitive impairment (1)
- coherent structures (1)
- colorization (1)
- community dwelling (1)
- complete block symmetry (1)
- compression behavior (1)
- computational fluid dynamics analysis (1)
- concentrated solar power (1)
- concentrating collector (1)
- conditional excess distribution (1)
- conditional expectation principle (1)
- confidence interval (1)
- connected automated vehicles (1)
- connective tissue (1)
- constitutive modeling (1)
- contactless conductivity sensor (1)
- control gate (1)
- corporate sustainability (1)
- correlation (1)
- coupled Néel–Brownian relaxation dynamics (1)
- covariance principle (1)
- critical (1)
- crop yield (1)
- crystallization (1)
- cyber-physical production systems (1)
- dam-break (1)
- dark fermentation (1)
- debris flow (1)
- deficit irrigation (1)
- dental bridges (1)
- dental trauma (1)
- deserts (1)
- design factor (1)
- design of technical systems (1)
- detection of charged macromolecules (1)
- detergent protease (1)
- dialysis (1)
- difficult airway (1)
- digital factory (1)
- digital twin (1)
- direct air capture (1)
- direct method (1)
- disposal facility (1)
- distorted element (1)
- distribution grid simulation (1)
- diversity management (1)
- double-lumen tube intubation (1)
- downstream processing design (1)
- drag force (1)
- drop jump (1)
- drug metabolising enzymes (1)
- drug–drug interactions (1)
- e-mobility (1)
- eVTOL development (1)
- eVTOL safety (1)
- earthquake engineering (1)
- ecological structure (1)
- economics (1)
- efficiency side-effects (1)
- eigensolvers (1)
- elastic scattering (1)
- elastic solids (1)
- elastomers (1)
- electrical conductivity of liquids (1)
- electro-bioreactor (1)
- electrocardiogram (1)
- electrofermentation (1)
- electrolyte-insulator semiconductor sensor (EIS) (1)
- electrolyte-insulator-semiconductor capacitors (1)
- electromyography (1)
- electronic nose (1)
- electrospinning (1)
- encapsulation materials (1)
- endoluminal (1)
- endospores (1)
- energy (1)
- energy absorption (1)
- energy dissipation (1)
- energy transfer (1)
- engineering (1)
- ensiling (1)
- entrepreneurship education (1)
- environmental correlation (1)
- enzymatic (bio)degradation (1)
- enzymatic biosensor (1)
- enzyme cascade (1)
- enzyme kinetics (1)
- enzyme-logic gate (1)
- epithelization (1)
- equivalent circuit (1)
- equivalent stiffness (1)
- event-based simulation (1)
- exchangeability test (1)
- exopolysaccharides (1)
- experiment quality (1)
- experimental evaluation (1)
- extracorporeal membrane oxygenation (1)
- eye movement modelling examples (1)
- fatigue analyses (1)
- fatty acid (1)
- fermentation (1)
- fibers (1)
- fibroin (1)
- field-effect structure (1)
- filamentous fungi (1)
- flaw (1)
- fluorescent protein carrier (1)
- force generation (1)
- forecast (1)
- forehead EEG (1)
- fortschreitende plastische Deformation (1)
- frequency mixing (1)
- fuel cell vehicle (1)
- functional data (1)
- ga-doping (1)
- gait (1)
- gamification (1)
- garnet solid electrolyte (1)
- gas sensor (1)
- gaseous hydrogen peroxide (1)
- genetic algorithm (1)
- genome engineering (1)
- geological disposal (1)
- geothermal (1)
- global optimization (1)
- glucose (1)
- glucose oxidase (GOx) (1)
- glycine (1)
- goodness-of-fit test (1)
- granular silo (1)
- graphene oxide (1)
- greenhouse cultivation (1)
- grey energy (1)
- halotolerant protease (1)
- harmonic radar tags (1)
- healthy aging (1)
- heat demand (1)
- heat transfer coefficient (1)
- heating system (1)
- heavy metals (1)
- hiPS cardiomyocytes (1)
- high field MR imaging (1)
- high-alkaline subtilisin (1)
- high-intensity exercise (1)
- high-k material (1)
- horseradish peroxidase (HRP) (1)
- huge dimensional data (1)
- human dermal fibroblasts (1)
- human metabolites (1)
- humic acid (1)
- hybrid model validation (1)
- hybrid solar power plants (1)
- hydraulic modelling (1)
- hydrogel (1)
- hydrogels (1)
- hydrolysis (1)
- hydroxylation (1)
- hyper-gravity (1)
- hyperelastic (1)
- hypo-gravity (1)
- hypoplasticity (1)
- ignition (1)
- impulsive effects (1)
- in-ear EEG (1)
- in-situ monitoring (1)
- incontinence (1)
- independence test (1)
- industrial agents (1)
- industry 4.0 (1)
- infill strategy (1)
- innovation management (1)
- integrated transmit coil arrays (1)
- intelligent control (1)
- intelligent energy management (1)
- interviews (1)
- intraclass correlation coefficient (1)
- irradiation (1)
- jevons paradox (1)
- key performance indicators (1)
- konvexe Optimierung (1)
- lable-free detection (1)
- lactic acid (1)
- lactobacillus (1)
- large language models (1)
- large-scale inspection (1)
- layer-by-layer technique (1)
- legal obligations (1)
- light-addressable electrode (1)
- light-addressing technologies (1)
- lignite (1)
- limit load (1)
- line detection (1)
- lipopolysaccharide (1)
- lipopolysaccharides (1)
- liquid-storage tank (1)
- liquid-structure interaction (1)
- literature (1)
- lizards (1)
- load limit (1)
- low-rank coal (1)
- machine learning (1)
- macro-element (1)
- magnetic actuation (1)
- magnetic beads (1)
- magnetic biosensing (1)
- magnetic relaxation (1)
- magnetic resonance imaging (1)
- magnetic sandwich immunoassay (1)
- magnetic sensing (1)
- magnetic sensors (1)
- magnetic separation (1)
- magnetic tweezers (1)
- magnetophoretic velocity (1)
- mainstream deammonification (1)
- management (1)
- manufacturing (1)
- manufacturing data model (1)
- manufacturing management (1)
- marketing (1)
- mathematical optimization (1)
- mechanical buffer (1)
- mechanical properties (1)
- metagenomics (1)
- metal-oxide-semiconductor structure (1)
- metathesis (1)
- method of fundamental solutions (1)
- microbial diversity (1)
- micromagnetic simulation (1)
- micronutrients (1)
- microplasma (1)
- microwave (MW) plasma (1)
- microwave measurements (1)
- mix flexibility (1)
- mixed-integer linear programming (1)
- mobile manipulation (1)
- model performance (1)
- modelled population estimates (1)
- motivation (1)
- multi-agent systems (1)
- multi-functional material (1)
- multi-sensing platform (1)
- multianalyte detection (1)
- multinomial distribution (1)
- multiparametric immunoassays (1)
- multiplex detection (1)
- multivariate normal distribution (1)
- muscle mechanics (1)
- nanobelts (1)
- nanomaterials (1)
- nanoparticle coverage (1)
- nanostructured carbonized plant parts (1)
- nanostrukturierte carbonisierte Pflanzenteile (1)
- naphtols (1)
- negative emissions (1)
- neutrons (1)
- next generation network (1)
- nitrogen elimination (1)
- non-simplex S-FEM elements (1)
- nonlinear VNA measurements (1)
- nonlinear radar (1)
- nonlinear transient analyses (1)
- novel photoexcitation method (1)
- nuclear waste (1)
- numerical model (1)
- on-chip integrated addressable EISCAP sensors (1)
- onion (1)
- optical fibers (1)
- optical sensor setup (1)
- optical spore trapping (1)
- optical trapping (1)
- optimization (1)
- optimization model (1)
- optimization system (1)
- organic waste (1)
- organosilanes (1)
- overload (1)
- oxidative stable protease (1)
- pH sensors (1)
- parabolic flight (1)
- parking slot detection (1)
- penicillin (1)
- perennial ryegrass (1)
- performance analysis (1)
- performance testing (1)
- performativity in personal knowledge (1)
- personal way of designing (1)
- phenols (1)
- phonocardiogram (1)
- photoelectrochemistry (1)
- physical model (1)
- physiology (1)
- pipes (1)
- plant molecular farming (1)
- plant scanner (1)
- plant stress (1)
- plant virus detection (1)
- plasma jet (1)
- plug-based microfluidic device (1)
- point cloud processing (1)
- point-focussing system (1)
- poly(d, l-lactic acid) (1)
- polyamide (1)
- polyaniline (1)
- polyaspartic acid (1)
- polyester (1)
- polyetheretherketone (1)
- polyetheretherketone (PEEK) (1)
- polystyrene sulfonate (1)
- population and housing census (1)
- porous materials (1)
- portfolio risk (1)
- power-to-X (1)
- power-to-gas (1)
- pretreatment (1)
- prevention (1)
- product bundling (1)
- product liability (1)
- production planning and control (1)
- production systems (1)
- programming (1)
- prostate cancer (1)
- prostatectomy (1)
- proton therapy (1)
- protons (1)
- psychosocial (1)
- pullulan (1)
- quality of life (1)
- random effects (1)
- random effects meta-regression model (1)
- ratchetting (1)
- raytracing (1)
- recombinant expression (1)
- rehabilitation (1)
- relative dosimetry (1)
- reliability analysis (1)
- reliability of structures (1)
- research association (1)
- resilience (1)
- resource abundance (1)
- retention time (1)
- retinal microvasculature (1)
- retinal vessels (1)
- review (1)
- rollout (1)
- rubber (1)
- running (1)
- sEMG (1)
- sarcomere operating length (1)
- scan strategy (1)
- scanned light pulse technique (1)
- seismic response (1)
- semantic role labeling (1)
- separable Hilbert space (1)
- series elastic element behavior (1)
- service-oriented architectures (1)
- shakedown analyses (1)
- shotgun sequencing (1)
- shoulder (1)
- silanization (1)
- simulation (1)
- sizing (1)
- slum classification (1)
- smart-charging (1)
- smooth muscle contraction (1)
- socio-economic welfare (1)
- soil amendment (1)
- soil health (1)
- soil remediation (1)
- solar multiple factor (1)
- solar process heat (1)
- solid-state battery (1)
- spatial resolution (1)
- speaker attribution (1)
- spore kill rate (1)
- sprint start (1)
- standard error of measurement (1)
- sterilisation (1)
- sterility (1)
- sterility tests (1)
- sterilization (1)
- sterilization conditions (1)
- sterilization efficacy (1)
- sterilization methods (1)
- stiffness (1)
- stochastic optimization (1)
- stochastic programming (1)
- strain energy function (1)
- stretch reflex (1)
- stretch-shortening cycle (1)
- structure-soil-structure interaction (1)
- succinate (1)
- superabsorbent polymers (1)
- superparamagnetic bead (1)
- superparamagnetic nanoparticles (1)
- supramolecular structures (1)
- surface functionalization (1)
- surface modification (1)
- surface-orthogonal path planning (1)
- survival (1)
- swelling properties (1)
- swimming (1)
- system optimization (1)
- system synthesis (1)
- systematic (1)
- technical operations research (1)
- technology planning (1)
- telecommunication (1)
- temperature (1)
- tendon rupture (1)
- tension–torsion loading (1)
- test-retest reliability (1)
- thematic analysis (1)
- theory and modeling (1)
- thermal dose (1)
- thermal ratcheting (1)
- thermal storage (1)
- thermometry (1)
- tilted constant illumination (1)
- tissue temperature (1)
- titanium dioxide photoanode (1)
- transmit antenna arrays (1)
- transponder (1)
- transporters (1)
- tri-lineage differentiation (1)
- truss (1)
- turnip vein clearing virus (TVCV) (1)
- twin-fluid atomizer (1)
- ultrasonography (1)
- ultrathin gate insulators (1)
- uniformly most powerful invariant test (1)
- unloading (1)
- urease (1)
- validation methods (1)
- vault (1)
- vessels (1)
- video learning (1)
- videolaryngoscopy (1)
- virgin passive (1)
- virtual clean room (1)
- viscoelasticity (1)
- visualization (1)
- volume flexibility (1)
- walking (1)
- walking gait (1)
- wastewater (1)
- water economy (1)
- water supply design (1)
- wind turbine production (1)
- wound healing (1)
- yield (1)
- yield stress (1)
- α-aminoacylase (1)
- ε-lysine acylase (1)
We investigate interaction networks that we derive from multivariate time series with methods frequently employed in diverse scientific fields such as biology, quantitative finance, physics, earth and climate sciences, and the neurosciences. Mimicking experimental situations, we generate time series with finite length and varying frequency content but from independent stochastic processes. Using the correlation coefficient and the maximum cross-correlation, we estimate interdependencies between these time series. With clustering coefficient and average shortest path length, we observe unweighted interaction networks, derived via thresholding the values of interdependence, to possess non-trivial topologies as compared to Erdös-Rényi networks, which would indicate small-world characteristics. These topologies reflect the mostly unavoidable finiteness of the data, which limits the reliability of typically used estimators of signal interdependence. We propose random networks that are tailored to the way interaction networks are derived from empirical data. Through an exemplary investigation of multichannel electroencephalographic recordings of epileptic seizures – known for their complex spatial and temporal dynamics – we show that such random networks help to distinguish network properties of interdependence structures related to seizure dynamics from those spuriously induced by the applied methods of analysis.
Learning- and memory-related processes are thought to result from dynamic interactions in large-scale brain networks that include lateral and mesial structures of the temporal lobes. We investigate the impact of incidental and intentional learning of verbal episodic material on functional brain networks that we derive from scalp-EEG recorded continuously from 33 subjects during a neuropsychological test schedule. Analyzing the networks' global statistical properties we observe that intentional but not incidental learning leads to a significantly increased clustering coefficient, and the average shortest path length remains unaffected. Moreover, network modifications correlate with subsequent recall performance: the more pronounced the modifications of the clustering coefficient, the higher the recall performance. Our findings provide novel insights into the relationship between topological aspects of functional brain networks and higher cognitive functions.
Network theory provides novel concepts that promise an improved characterization of interacting dynamical systems. Within this framework, evolving networks can be considered as being composed of nodes, representing systems, and of time-varying edges, representing interactions between these systems. This approach is highly attractive to further our understanding of the physiological and pathophysiological dynamics in human brain networks. Indeed, there is growing evidence that the epileptic process can be regarded as a large-scale network phenomenon. We here review methodologies for inferring networks from empirical time series and for a characterization of these evolving networks. We summarize recent findings derived from studies that investigate human epileptic brain networks evolving on timescales ranging from few seconds to weeks. We point to possible pitfalls and open issues, and discuss future perspectives.
Data-driven prediction and prevention of extreme events in a spatially extended excitable system
(2015)
The stimulation and dominance of potentially harmful phytoplankton taxa at a given locale and time are determined by local environmental conditions as well as by transport to or from neighboring regions. The present study investigated the occurrence of common harmful algal bloom (HAB) taxa within the Southern California Bight, using cross-correlation functions to determine potential dependencies between HAB taxa and environmental factors, and potential links to algal transport via local hydrography and currents. A simulation study, in which Lagrangian particles were released, was used to assess travel times due to advection by prevailing ocean currents in the bight. Our results indicate that transport of some taxa may be an important mechanism for the expansion of their distributions into other regions, which was supported by mean travel times derived from our simulation study and other literature on ocean currents in the Southern California Bight. In other cases, however, phytoplankton dynamics were rather linked to local environmental conditions, including coastal upwelling events. Overall, our study shows that complex current patterns in the Southern California Bight may contribute significantly to the formation and expansion of HABs in addition to local environmental factors determining the spatiotemporal dynamics of phytoplankton blooms.
We investigate the suitability of selected measures of complexity based on recurrence quantification analysis and recurrence networks for an identification of pre-seizure states in multi-day, multi-channel, invasive electroencephalographic recordings from five epilepsy patients. We employ several statistical techniques to avoid spurious findings due to various influencing factors and due to multiple comparisons and observe precursory structures in three patients. Our findings indicate a high congruence among measures in identifying seizure precursors and emphasize the current notion of seizure generation in large-scale epileptic networks. A final judgment of the suitability for field studies, however, requires evaluation on a larger database.
Sleep scoring is a necessary and time-consuming task in sleep studies. In animal models (such as mice) or in humans, automating this tedious process promises to facilitate long-term studies and to promote sleep biology as a data-driven f ield. We introduce a deep neural network model that is able to predict different states of consciousness (Wake, Non-REM, REM) in mice from EEG and EMG recordings with excellent scoring results for out-of-sample data. Predictions are made on epochs of 4 seconds length, and epochs are classified as artifactfree or not. The model architecture draws on recent advances in deep learning and in convolutional neural networks research. In contrast to previous approaches towards automated sleep scoring, our model does not rely on manually defined features of the data but learns predictive features automatically. We expect deep learning models like ours to become widely applied in different fields, automating many repetitive cognitive tasks that were previously difficult to tackle.
In this work, we report on our attempt to design and implement an early introduction to basic robotics principles for children at kindergarten age. One of the main challenges of this effort is to explain complex robotics contents in a way that pre-school children could follow the basic principles and ideas using examples from their world of experience. What sets apart our effort from other work is that part of the lecturing is actually done by a robot itself and that a quiz at the end of the lesson is done using robots as well. The humanoid robot Pepper from Softbank, which is a great platform for human–robot interaction experiments, was used to present a lecture on robotics by reading out the contents to the children making use of its speech synthesis capability. A quiz in a Runaround-game-show style after the lecture activated the children to recap the contents they acquired about how mobile robots work in principle. In this quiz, two LEGO Mindstorm EV3 robots were used to implement a strongly interactive scenario. Besides the thrill of being exposed to a mobile robot that would also react to the children, they were very excited and at the same time very concentrated. We got very positive feedback from the children as well as from their educators. To the best of our knowledge, this is one of only few attempts to use a robot like Pepper not as a tele-teaching tool, but as the teacher itself in order to engage pre-school children with complex robotics contents.
The integration of sensors is one of the major tasks in embedded, control and “internet of things” (IoT) applications. For the integration mainly digital interfaces are used, starting from rather simple pulse-width modulation (PWM) interface to more complex interfaces like CAN (Controller Area Network). Even though these interfaces are tethered by definition, a wireless realization is highly welcome in many applications to reduce cable and connector cost, increase the flexibility and realize new emerging applications like wireless control systems. Currently used wireless solutions like Bluetooth, WirelessHART or IO-Link Wireless use dedicated communication standards and corresponding higher protocol layers to realize the wireless communication. Due to the complexity of the communication and the protocol handling, additional latency and jitter are introduced to the data communication that can meet the requirements for many applications. Even though tunnelling of other bus data like CAN data is generally also possible the latency and jitter prevent the tunnelling from being transparent for the bus system. Therefore a new basic technology based on dual-mode radio is used to realize a wireless communication on the physical layer only, enabling a reliable and real-time data transfer. As this system operates on the physical layer it is independent of any higher layers of the OSI (open systems interconnection) model. Hence it can be used for several different communication systems to replace the tethered physical layer. A prototype is developed and tested for real-time wireless PWM, SENT (single-edge nibble transmission) and CAN data transfer with very low latency and jitter.
Prosthetic textile implants of different shapes, sizes and polymers are used to correct the apical prolapse after hysterectomy (removal of the uterus). The selection of the implant before or during minimally invasive surgery depends on the patient’s anatomical defect, intended function after reconstruction and most importantly the surgeon’s preference. Weakness or damage of the supporting tissues during childbirth, menopause or previous pelvic surgeries may put females in higher risk of prolapse. Numerical simulations of reconstructed pelvic floor with weakened tissues and organ supported by textile product models: DynaMesh®-PRS soft, DynaMesh®-PRP soft and DynaMesh®-CESA from FEG Textiletechnik mbH, Germany are compared.
The porosity of surgical meshes makes them flexible for large elastic deformation and establishes the healing conditions of good tissue in growth. The biomechanic modeling of orthotropic and compressible materials requires new materials models and simulstaneoaus fit of deformation in the load direction as well as trannsversely to to load. This nonlinear modeling can be achieved by an optical deformation measurement. At the same time the full field deformation measurement allows the dermination of the change of porosity with deformation. Also the socalled effective porosity, which has been defined to asses the tisssue interatcion with the mesh implants, can be determined from the global deformation of the surgical meshes.
Heavy-duty trucks are one of the main contributors to greenhouse gas emissions in German traffic. Drivetrain electrification is an option to reduce tailpipe emissions by increasing energy conversion efficiency. To evaluate the vehicle’s environmental impacts, it is necessary to consider the entire life cycle. In addition to the daily use, it is also necessary to include the impact of production and disposal. This study presents the comparative life cycle analysis of a parallel hybrid and a conventional heavy-duty truck in long-haul operation. Assuming a uniform vehicle glider, only the differing parts of both drivetrains are taken into account to calculate the environmental burdens of the production. The use phase is modeled by a backward simulation in MATLAB/Simulink considering a characteristic driving cycle. A break-even analysis is conducted to show at what mileage the larger CO2eq emissions due to the production of the electric drivetrain are compensated. The effect of parameter variation on the break-even mileage is investigated by a sensitivity analysis. The results of this analysis show the difference in CO2eq/t km is negative, indicating that the hybrid vehicle releases 4.34 g CO2eq/t km over a lifetime fewer emissions compared to the diesel truck. The break-even analysis also emphasizes the advantages of the electrified drivetrain, compensating the larger emissions generated during production after already a distance of 15,800 km (approx. 1.5 months of operation time). The intersection coordinates, distance, and CO2eq, strongly depend on fuel, emissions for battery production and the driving profile, which lead to nearly all parameter variations showing an increase in break-even distance.
68Ga-radiopharmaceuticals are common in the field of Nuclear Medicine to visualize receptor-mediated processes. In contrast to straightforward labeling procedures for clinical applications, preclinical in vitro and in vivo applications are hampered for reasons like e.g. volume
restriction, activity concentration, molar activity and osmolality. Therefore, we developed a semiautomatic system specifically to overcome these problems. A difficulty appeared unexpectedly, as intrinsic trace metals derived from eluate (Zn, Fe and Cu) are concentrated as well in amounts that influence radiochemical yield and thus lower molar activity.
In this work, a cell-based biosensor to evaluate the sterilization efficacy of hydrogen peroxide vapor sterilization processes is characterized. The transducer of the biosensor is based on interdigitated gold electrodes fabricated on an inert glass substrate. Impedance spectroscopy is applied to evaluate the sensor behavior and the alteration of test microorganisms due to the sterilization process. These alterations are related to changes in relative permittivity and electrical conductivity of the bacterial spores. Sensor measurements are conducted with and without bacterial spores (Bacillus atrophaeus), as well as after an industrial sterilization protocol. Equivalent two-dimensional numerical models based on finite element method of the periodic finger structures of the interdigitated gold electrodes are designed and validated using COMSOL® Multiphysics software by the application of known dielectric properties. The validated models are used to compute the electrical properties at different sensor states (blank, loaded with spores, and after sterilization). As a final result, we will derive and tabulate the frequency-dependent electrical parameters of the spore layer using a novel model that combines experimental data with numerical optimization techniques.
Field-effect-based electrolyte-insulator-semiconductor (EIS) sensors were modified with a bilayer of positively charged weak polyelectrolyte (poly(allylamine hydrochloride) (PAH)) and probe single-stranded DNA (ssDNA) and are used for the detection of complementary single-stranded target DNA (cDNA) in different test solutions. The sensing mechanism is based on the detection of the intrinsic molecular charge of target cDNA molecules after the hybridization event between cDNA and immobilized probe ssDNA. The test solutions contain synthetic cDNA oligonucleotides (with a sequence of tuberculosis mycobacteria genome) or PCR-amplified DNA (which origins from a template DNA strand that has been extracted from Mycobacterium avium paratuberculosis-spiked human sputum samples), respectively. Sensor responses up to 41 mV have been measured for the test solutions with DNA, while only small signals of ∼5 mV were detected for solutions without DNA. The lower detection limit of the EIS sensors was ∼0.3 nM, and the sensitivity was ∼7.2 mV/decade. Fluorescence experiments using SybrGreen I fluorescence dye support the electrochemical results.
In the present work an optical sensor in combination with a spectrally resolved detection device for in-line particle-size-monitoring for quality control in beer production is presented. The principle relies on the size and wavelength dependent backscatter of growing particles in fluids. Measured interference structures of backscattered light are compared with calculated theoretical values, based on Mie-Theory, and fitted with a linear least square method to obtain particle size distributions. For this purpose, a broadband light source in combination with a process-CCD-spectrometer (charge ? coupled device spectrometer) and process adapted fiber optics are used. The goal is the development of an easy and flexible measurement device for in-line-monitoring of particle size. The presented device can be directly installed in product fill tubes or vessels, follows CIP- (cleaning in place) and removes the need of sample taking. A proof of concept and preliminary results, measuring protein precipitation, are presented.
This work demonstrates how the interaction between particle image velocimetry (PIV) and robotics can massively increase measurement efficiency. The interdisciplinary approach is shown using the complex example of an automated, large scale, industrial environment: a typical automotive wind tunnel application. Both the high degree of flexibility in choosing the measurement region and the complete automation of stereo PIV measurements are presented. The setup consists of a combination of three robots, individually used as a 6D traversing unit for the laser illumination system as well as for each of the two cameras. Synchronised movements in the same reference frame are realised through a master-slave setup with a single interface to the user. By integrating the interface into the standard wind tunnel management system, a single measurement plane or a predefined sequence of several planes can be requested through a single trigger event, providing the resulting vector fields within minutes.
In this paper, a brief overview on the demands of large scale industrial PIV and the existing solutions is given. Afterwards, the concept of RoboPIV is introduced as a new approach. In a first step, the usability of a selection of commercially available robot arms is analysed. The challenges of pose uncertainty and importance of absolute accuracy are demonstrated through comparative measurements, explaining the individual pros and cons of the analysed systems. Subsequently, the advantage of integrating RoboPIV directly into the existing wind tunnel management system is shown on basis of a typical measurement sequence. In a final step, a practical measurement procedure, including post-processing, is given by using real data and results. Ultimately, the benefits of high automation are demonstrated, leading to a drastic reduction in necessary measurement time compared to non-automated systems, thus massively increasing the efficiency of PIV measurements.
In lab-on-chip systems, electrodes are important for the manipulation (e.g., cell stimulation, electrolysis) within such systems. An alternative to commonly used electrode structures can be a light-addressable electrode. Here, due to the photoelectric effect, the conducting area can be adjusted by modification of the illumination area which enables a flexible control of the electrode. In this work, titanium dioxide based light-addressable electrodes are fabricated by a sol–gel technique and a spin-coating process, to deposit a thin film on a fluorine-doped tin oxide glass. To characterize the fabricated electrodes, the thickness, and morphological structure are measured by a profilometer and a scanning electron microscope. For the electrochemical behavior, the dark current and the photocurrent are determined for various film thicknesses. For the spatial resolution behavior, the dependency of the photocurrent while changing the area of the illuminated area is studied. Furthermore, the addressing of single fluid compartments in a three-chamber system, which is added to the electrode, is demonstrated.
The Dry-Low-NOx (DLN) Micromix combustion technology has been developed as low emission combustion principle for industrial gas turbines fueled with hydrogen or syngas. The combustion process is based on the phenomenon of jet-in-crossflow-mixing (JICF). Fuel is injected perpendicular into the air-cross-flow and burned in a multitude of miniaturized, diffusion-like flames. The miniaturization of the flames leads to a significant reduction of NOx emissions due to the very short residence time of reactants in the flame. In the Micromix research approach, computational fluid dynamics (CFD) analyses are validated toward experimental results. The combination of numerical and experimental methods allows an efficient design and optimization of DLN Micromix combustors concerning combustion stability and low NOx emissions. The paper presents a comparison of several numerical combustion models for hydrogen and hydrogen-rich syngas. They differ in the complexity of the underlying reaction mechanism and the associated computational effort. The performance of a hybrid eddy-break-up (EBU) model with a one-step global reaction is compared to a complex chemistry model and a flamelet generated manifolds (FGM) model, both using detailed reaction schemes for hydrogen or syngas combustion. Validation of numerical results is based on exhaust gas compositions available from experimental investigation on DLN Micromix combustors. The conducted evaluation confirms that the applied detailed combustion mechanisms are able to predict the general physics of the DLN-Micromix combustion process accurately. The FGM method proved to be generally suitable to reduce the computational effort while maintaining the accuracy of detailed chemistry.
A chip-based amperometric biosensor referring on using the bioelectrocatalytical amplification principle for the detection of low adrenaline concentrations is presented. The adrenaline biosensor has been prepared by modification of a platinum thin-film electrode with an enzyme membrane containing the pyrroloquinoline quinone-dependent glucose dehydrogenase and glutaraldehyde. Measuring conditions such as temperature, pH value, and glucose concentration have been optimized to achieve a high sensitivity and a low detection limit of about 1 nM adrenaline measured in phosphate buffer at neutral pH value. The response of the biosensor to different catecholamines has also been proven. Long-term stability of the adrenaline biosensor has been studied over 10 days. In addition, the biosensor has been successfully applied for adrenaline detection in human blood plasma for future biomedical applications. Furthermore, preliminary experiments have been carried to detect the adrenaline-concentration difference measured in peripheral blood and adrenal venous blood, representing the adrenal vein sampling procedure of a physician.
A light-addressable potentiometric sensor (LAPS) is a field-effect-based potentiometric device, which detects concentration changes of an analyte solution on the sensor surface in a spatially resolved way. It uses a light source to generate electron–hole pairs inside the semiconductor, which are separated in the depletion region due to an applied bias voltage across the sensor structure and hence, a surface-potential-dependent photocurrent can be read out. However, depending on the beam angle of the light source, scattering effects can occur, which influence the recorded signal in LAPS-based differential measurements. To solve this problem, a novel illumination unit based on a field programmable gate array (FPGA) consisting of 16 small-sized tunable infrared laser-diode modules (LDMs) is developed. Due to the improved focus of the LDMs with a beam angle of only 2 mrad, undesirable scattering effects are minimized. Escherichia coli (E. coli) K12 bacteria are used as a test microorganism to study the extracellular acidification on the sensor surface. Furthermore, a salt bridge chamber is built up and integrated with the LAPS system enabling multi-chamber differential measurements with a single Ag/AgCl reference electrode.
Multi-analyte biosensors may offer the opportunity to perform cost-effective and rapid analysis with reduced sample volume, as compared to electrochemical biosensing of each analyte individually. This work describes the development of an enzyme-based biosensor system for multi-parametric determination of four different organic acids. The biosensor array comprises five working electrodes for simultaneous sensing of ethanol, formate, d-lactate, and l-lactate, and an integrated counter electrode. Storage stability of the biosensor was evaluated under different conditions (stored at +4 °C in buffer solution and dry at −21 °C, +4 °C, and room temperature) over a period of 140 days. After repeated and regular application, the individual sensing electrodes exhibited the best stability when stored at −21 °C. Furthermore, measurements in silage samples (maize and sugarcane silage) were conducted with the portable biosensor system. Comparison with a conventional photometric technique demonstrated successful employment for rapid monitoring of complex media.
New information regarding the influence of a stepped chute on the hydraulic performance of the United States Bureau of Reclamation (Reclamation) Type III hydraulic jump stilling basin is presented for design (steady) and adverse (decreasing tailwater) conditions. Using published experimental data and computational fluid dynamics (CFD) models, this paper presents a detailed comparison between smooth-chute and stepped-chute configurations for chute slopes of 0.8H:1V and 4H:1V and Froude numbers (F) ranging from 3.1 to 9.5 for a Type III basin designed for F = 8. For both stepped and smooth chutes, the relative role of each basin element was quantified, up to the most hydraulic extreme case of jump sweep-out. It was found that, relative to a smooth chute, the turbulence generated by a stepped chute causes a higher maximum velocity decay within the stilling basin, which represents an enhancement of the Type III basin’s performance but also a change in the relative role of the basin elements. Results provide insight into the ability of the CFD models [unsteady Reynolds-averaged Navier-Stokes (RANS) equations with renormalization group (RNG) k-ϵ turbulence model and volume-of-fluid (VOF) for free surface tracking] to predict the transient basin flow structure and velocity profiles. Type III basins can perform adequately with a stepped chute despite the effects steps have on the relative role of each basin element. It is concluded that the classic Type III basin design, based upon methodology by reclamation specific to smooth chutes, can be hydraulically improved for the case of stepped chutes for design and adverse flow conditions using the information presented herein.
Vectrino profiler spatial filtering for shear flows based on the mean velocity gradient equation
(2018)
A new methodology is proposed to spatially filter acoustic Doppler velocimetry data from a Vectrino profiler based on the differential mean velocity equation. Lower and upper bounds are formulated in terms of physically based flow constraints. Practical implementation is discussed, and its application is tested against data gathered from an open-channel flow over a stepped macroroughness surface. The method has proven to detect outliers occurring all over the distance range sampled by the Vectrino profiler and has shown to remain applicable out of the region of validity of the velocity gradient equation. Finally, a statistical analysis suggests that physically obtained bounds are asymptotically representative.
A capacitive electrolyte-insulator-semiconductor (EIS) field-effect biosensor for acetoin detection has been presented for the first time. The EIS sensor consists of a layer structure of Al/p-Si/SiO₂/Ta₂O₅/enzyme acetoin reductase. The enzyme, also referred to as butane-2,3-diol dehydrogenase from B. clausii DSM 8716T, has been recently characterized. The enzyme catalyzes the (R)-specific reduction of racemic acetoin to (R,R)- and meso-butane-2,3-diol, respectively. Two different enzyme immobilization strategies (cross-linking by using glutaraldehyde and adsorption) have been studied. Typical biosensor parameters such as optimal pH working range, sensitivity, hysteresis, linear concentration range and long-term stability have been examined by means of constant-capacitance (ConCap) mode measurements. Furthermore, preliminary experiments have been successfully carried out for the detection of acetoin in diluted white wine samples.
In this study, flexible calorimetric gas sensors are developed for specificdetection of gaseous hydrogen peroxide (H₂O₂) over a wide concentrationrange, which is used in sterilization processes for aseptic packaging industry.The flexibility of these sensors is an advantage for identifying the chemical components of the sterilant on the corners of the food boxes, so-called “coldspots”, as critical locations in aseptic packaging, which are of great importance. These sensors are fabricated on flexible polyimide films by means of thin-film technique. Thin layers of titanium and platinum have been deposited on polyimide to define the conductive structures of the sensors. To detect the high-temperature evaporated H₂O₂, a differential temperature set-up is proposed. The sensors are evaluated in a laboratory-scaled sterilizationsystem to simulate the sterilization process. The concentration range of the evaporated H₂O₂ from 0 to 7.7% v/v was defined and the sensors have successfully detected high as well as low H₂O₂ concentrations with a sensitivity of 5.04 °C/% v/v. The characterizations of the sensors confirm their precise fabrication, high sensitivity and the novelty of low H₂O₂ concentration detections for future inline monitoring of food-package sterilization.
The rail business is challenged by long product life cycles and a broad spectrum of assembly groups and single parts. When spare part obsolescence occurs, quick solutions are needed. A reproduction of obsolete parts is often connected to long waiting times and minimum lot quantities that need to be purchased and stored. Spare part storage is therefore challenged by growing stocks, bound capital and issues of part ageing. A possible solution could be a virtual storage of spare parts which will be 3D printed through additive manufacturing technologies in case of sudden demand. As mechanical properties of additive manufactured parts are neither guaranteed by machine manufacturers nor by service providers, the utilization of this relatively young technology is impeded and research is required to address these issues. This paper presents an examination of mechanical properties of specimens manufactured from stainless steel through the selective laser melting (SLM) process. The specimens were produced in multiple batches. This paper interrogates the question if the test results follow a normal distribution pattern and if mechanical property predictions can be made. The results will be put opposite existing threshold values provided as the industrial standard. Furthermore, probability predictions will be made in order to examine the potential of the SLM process to maintain state-of-the-art mechanical property requirements.
Wind is closely associated with the discussion of fairness in ski jumping. To counter-act its influence on the jump length, the International Ski Federation (FIS) has introduced a wind compensation approach. We applied three differently accurate computer models of the flight phase with wind (M1, M2, and M3) to study the jump length effects of various wind scenarios. The previously used model M1 is accurate for wind blowing in direction of the flight path, but inaccuracies are to be expected for wind directions deviating from the tangent to the flight path. M2 considers the change of airflow direction, but it does not consider the associated change in the angle of attack of the skis which additionally modifies drag and lift area time functions. M3 predicts the length effect for all wind directions within the plane of the flight trajectory without any mathematical simplification. Prediction errors of M3 are determined only by the quality of the input data: wind velocity, drag and lift area functions, take-off velocity, and weight. For comparing the three models, drag and lift area functions of an optimized reference jump were used. Results obtained with M2, which is much easier to handle than M3, did not deviate noticeably when compared to predictions of the reference model M3. Therefore, we suggest to use M2 in future applications. A comparison of M2 predictions with the FIS wind compensation system showed substantial discrepancies, for instance: in the first flight phase, tailwind can increase jump length, and headwind can decrease it; this is opposite of what had been anticipated before and is not considered in the current wind compensation system in ski jumping.
Intensive poultry operation systems emit a considerable volume of inorganic and organic matter in the surrounding environment. Monitoring cleaning properties of exhaust air cleaning systems and to detect small but significant changes in emission characteristics during a fattening cycle is important for both emission and fattening process control. In the present study, we evaluated the potential of near-infrared spectroscopy (NIRS) combined with chemometric techniques as a monitoring tool of exhaust air from poultry operation systems. To generate a high-quality data set for evaluation, the exhaust air of two poultry houses was sampled by applying state-of-the-art filter sampling protocols. The two stables were identical except for one crucial difference, the presence or absence of an exhaust air cleaning system. In total, twenty-one exhaust air samples were collected at the two sites to monitor spectral differences caused by the cleaning device, and to follow changes in exhaust air characteristics during a fattening period. The total dust load was analyzed by gravimetric determination and included as a response variable in multivariate data analysis. The filter samples were directly measured with NIR spectroscopy. Principal component analysis (PCA), linear discriminant analysis (LDA), and factor analysis (FA) were effective in classifying the NIR exhaust air spectra according to fattening day and origin. The results indicate that the dust load and the composition of exhaust air (inorganic or organic matter) substantially influence the NIR spectral patterns. In conclusion, NIR spectroscopy as a tool is a promising and very rapid way to detect differences between exhaust air samples based on still not clearly defined circumstances triggered during a fattening period and the availability of an exhaust air cleaning system.
The presentation of enzymes on viral scaffolds has beneficial effects such as an increased enzyme loading and a prolonged reusability in comparison to conventional immobilization platforms. Here, we used modified tobacco mosaic virus (TMV) nanorods as enzyme carriers in penicillin G detection for the first time. Penicillinase enzymes were conjugated with streptavidin and coupled to TMV rods by use of a bifunctional biotin-linker. Penicillinase-decorated TMV particles were characterized extensively in halochromic dye-based biosensing. Acidometric analyte detection was performed with bromcresol purple as pH indicator and spectrophotometry. The TMV-assisted sensors exhibited increased enzyme loading and strongly improved reusability, and higher analysis rates compared to layouts without viral adapters. They extended the half-life of the sensors from 4 - 6 days to 5 weeks and thus allowed an at least 8-fold longer use of the sensors. Using a commercial budget-priced penicillinase preparation, a detection limit of 100 µM penicillin was obtained. Initial experiments also indicate that the system may be transferred to label-free detection layouts.
Accurate determination of free-surface dynamics has attracted much research attention during the past decade and has important applications in many environmental and water related areas. In this study, the free-surface dynamics in several turbulent flows commonly found in nature were investigated using a synchronised setup consisting of an ultrasonic sensor and a high-speed video camera. Basic sensor capabilities were examined in dry conditions to allow for a better characterisation of the present sensor model. The ultrasonic sensor was found to adequately reproduce free-surface dynamics up to the second order, especially in two-dimensional scenarios with the most energetic modes in the low frequency range. The sensor frequency response was satisfactory in the sub-20 Hz band, and its signal quality may be further improved by low-pass filtering prior to digitisation. The application of the USS to characterise entrapped air in high-velocity flows is also discussed.
Cupriavidus necator H16 gains increasing attention in microbial research and biotechnological application due to its diverse metabolic features. Here we present a tightly controlled gene expression system for C. necator including the pBBR1-vector that contains hybrid promoters originating from C. necator native tolC-promoter in combination with a synthetic tetO-operator. The expression of the reporter gene from these plasmids relies on the addition of the exogenous inducer doxycycline (dc). The novel expression system offers a combination of advantageous features as; (i) high and dose-dependent recombinant protein production, (ii) tight control with a high dynamic range (On/Off ratio), which makes it applicable for harmful pathways or for toxic protein production, (iii) comparable cheap inducer (doxycycline, dc), (iv) effective at low inducer concentration, that makes it useful for large scale application, (v) rapid, diffusion controlled induction, and (vi) the inducer does not interfere within the cell metabolism. As applications of the expression system in C. necator H16, the growth ability on glycerol was enhanced by constitutively expressing the E. coli glpk gene-encoding for glycerol kinase. Likewise, we used the system to overcome the expression toxicity of mevalonate pathway in C. necator H16. With this system, the mevalonate-genes were successfully introduced in the host and the recombinant strains could produce about 200 mg/l mevalonate.
In this article, we present an overview on the thermocatalytic reaction of hydrogen peroxide (H₂O₂) gas on a manganese (IV) oxide (MnO₂) catalytic structure. The principle of operation and manufacturing techniques are introduced for a calorimetric H₂O₂ gas sensor based on porous MnO₂. Results from surface analyses by X-ray photoelectron spectroscopy (XPS) and scanning electron microscopy (SEM) of the catalytic material provide indication of the H₂O₂ dissociation reaction schemes. The correlation between theory and the experiments is documented in numerical models of the catalytic reaction. The aim of the numerical models is to provide further information on the reaction kinetics and performance enhancement of the porous MnO₂ catalyst.
A field-effect biosensor employing tobacco mosaic virus (TMV) particles as scaffolds for enzyme immobilization is presented. Nanotubular TMV scaffolds allow a dense immobilization of precisely positioned enzymes with retained activity. To demonstrate feasibility of this new strategy, a penicillin sensor has been developed by coupling a penicillinase with virus particles as a model system. The developed field-effect penicillin biosensor consists of an Al-p-Si-SiO₂-Ta₂O₅-TMV structure and has been electrochemically characterized in buffer solutions containing different concentrations of penicillin G. In addition, the morphology of the biosensor surface with virus particles was characterized by scanning electron microscopy and atomic force microscopy methods. The sensors possessed a high penicillin sensitivity of ~ 92 mV/dec in a nearly-linear range from 0.1 mM to 10 mM, and a low detection limit of about 50 µM. The long-term stability of the penicillin biosensor was periodically tested over a time period of about one year without any significant loss of sensitivity. The biosensor has also been successfully applied for penicillin detection in bovine milk samples.
The Monte Carlo code FLUKA is used to simulate the production of a number of positron emitting radionuclides, ¹⁸F, ¹³N, ⁹⁴Tc, ⁴⁴Sc, ⁶⁸Ga, ⁸⁶Y, ⁸⁹Zr, ⁵²Mn, ⁶¹Cu and ⁵⁵Co, on a small medical cyclotron with a proton beam energy of 13 MeV. Experimental data collected at the TR13 cyclotron at TRIUMF agree within a factor of 0.6 ± 0.4 with the directly simulated data, except for the production of ⁵⁵Co, where the simulation underestimates the experiment by a factor of 3.4 ± 0.4. The experimental data also agree within a factor of 0.8 ± 0.6 with the convolution of simulated proton fluence and cross sections from literature. Overall, this confirms the applicability of FLUKA to simulate radionuclide production at 13 MeV proton beam energy.
Access to promising radiometals as isotopes for novel molecular imaging agents requires that they are routinely available and inexpensive to obtain. Proximity to a cyclotron center outfitted with solid target hardware, or to an isotope generator for the metal of interest is necessary, both of which can introduce significant hurdles in development of less common isotopes. Herein, we describe the production of ⁴⁴Sc (t₁⸝₂ = 3.97 h, Eavg,β⁺ = 1.47 MeV, branching ratio = 94.27%) in a solution target and an automated loading system which allows a quick turn-around between different radiometallic isotopes and therefore greatly improves their availability for tracer development. Experimental yields are compared to theoretical calculations.
Production of Y-86 and other radiometals for research purposes using a solution target system
(2015)
[⁶⁸Ga(DOTATATE)] has demonstrated its clinical usefulness. Both Fe³⁺ and Cu²⁺, potential contaminants in Gallium-68 generator eluent, substantially reduce the radiochemical (RC) yield of [⁶⁸Ga(DOTATATE)] if the metal/ligand ratio of 1:1 is exceeded. A variety of compounds were examined for their potential ability to reduce this effect. Most had no effect on RC yield. However, addition of phosphate diminished the influence of Fe³⁺ by likely forming an insoluble iron salt. Addition of ascorbic acid reduced Cu²⁺ and Fe³⁺ to Cu⁺ and Fe²⁺ respectively, both of which have limited impact on RC yields. At low ligand amounts (5 nmol DOTATATE), the addition of 30 nmol phosphate (0.19 mM) increased the tolerance of Fe3⁺ from 4 nmol to 10 nmol (0.06 mM), while the addition of ascorbic acid allowed high RC yields (>95%) in the presence of 40 nmol Fe³⁺ (0.25 mM) and 100 nmol Cu²⁺ (0.63 mM). The effect of ascorbic acid was highly pH-dependant, and gave optimal results at pH 3.
N,N-Dialkylamino(thiocarbonyl)-N′-picolylbenzamidines react with (NEt4)2[M(CO)3X3] (M = Re, X = Br; M = Tc, X = Cl) under formation of neutral [M(CO)3L] complexes in high yields. The monoanionic NNS ligands bind in a facial coordination mode and can readily be modified at the (CS)NR1R2 moiety. The complexes [99Tc(CO)3(LPyMor)] and [Re(CO)3(L)] (L = LPyMor, LPyEt) were characterized by X-ray diffraction. Reactions of [99mTc(CO)3(H2O)3]+ with the N′-thiocarbamoylpicolylbenzamidines give the corresponding 99mTc complexes. The ester group in HLPyCOOEt allows linkage between biomolecules and the metal core.
Tricarbonylrhenium(I) and -technetium(I) halide (halide = Cl and Br) complexes of ligands derived from 4,5-diazafluoren-9-one (df) and 1,10-phenanthroline-5,6-dione (phen) derivatives of benzoic and 2-hydroxybenzoic acid hydrazides have been prepared. The complexes have been characterized by elemental analysis, MS, IR, 1H NMR and absorption and emission UV/Vis spectroscopic methods. The metal centres (ReI and TcI) are coordinated through the nitrogen imine atoms and establish five-membered chelate rings, whereas the hydrazone groups stand uncoordinated. The 1H NMR spectra suggest the same behaviour in solution on the basis of only marginal variations in the chemical shifts of the hydrazine protons.
Air- and water-stable phenyl complexes with nitridotechnetium(V) cores can be prepared by straightforward procedures. [TcNPh2(PPh3)2] is formed by the reaction of [TcNCl2(PPh3)2] with PhLi. The analogous N-heterocyclic carbene (NHC) compound [TcNPh2(HLPh)2], where HLPh is 1,3,4-triphenyl-1,2,4-triazol-5-ylidene, is available from (NBu4)[TcNCl4] and HLPh or its methoxo-protected form. The latter compound allows the comparison of different Tc–C bonds within one compound. Surprisingly, the Tc chemistry with such NHCs does not resemble that of corresponding Re complexes, where CH activation and orthometalation dominate.
AgTcO4 reacts with R3ECl compounds (E = C, Si, Ge, Sn, Pb; R = Me, iPr, tBu, Ph), tBu2SnCl2, or PhMgCl under formation of novel trioxotechnetium(VII) derivatives. The carbon and silicon derivatives readily undergo decomposition, which was proven by 99Tc NMR spectroscopy and the isolation of decomposition products such as [TcOCl3(THF)(OH2)]. Compounds [Ph3GeOTcO3], [(THF)Ph3SnOTcO3], [(O3TcO)SntBu2(OH)]2, and [(THF)4Mg(OTcO3)2] are more stable and were isolated in crystalline form and characterized by X-ray diffraction.
[{ReN(PMe2Ph)3}{ReO3N}]2 – Structural Evidence for the Nitridotrioxorhenate(VII) Anion, [ReO3N]2−
(2005)
Oxorhenium(V) complexes [ReOX3(PPh3)2] (X = Cl, Br) react with phenylacetylene under formation of complexes with ylide-type ligands. Compounds of the compositions [ReOCl3(PPh3){C(Ph)C(H)(PPh3)}] (1), [ReOBr3(OPPh3){C(Ph)C(H)(PPh3)}] (2), and [ReOBr3(OPPh3){C(H)C(Ph)(PPh3)}] (3) were isolated and characterized by X-ray diffraction. They contain a ligand, which was formed by a nucleophilic attack of released PPh3 at coordinated phenylacetylene. The structures of the products show that there is no preferable position for this attack. Cleavage of the Re–C bond in 3 and dimerization of the organic ligand resulted in the formation of the [{(PPh3)(H)CC(Ph)}2]2+ cation, which crystallized as its [(ReOBr4)(OReO3)]2– salt.
An amperometric bi-enzyme biosensor based on substrate recycling principle for the amplification of the sensor signal has been developed for the detection of adrenaline in blood. Adrenaline can be used as biomarker verifying successful adrenal venous sampling procedure. The adrenaline biosensor has been realized via modification of a galvanic oxygen sensor with a bi-enzyme membrane combining a genetically modified laccase and a pyrroloquinoline quinone-dependent glucose dehydrogenase. The measurement conditions such as pH value and temperature were optimized to enhance the sensor performance. A high sensitivity and a low detection limit of about 0.5–1 nM adrenaline have been achieved in phosphate buffer at pH 7.4, relevant for measurements in blood samples. The sensitivity of the biosensor to other catecholamines such as noradrenaline, dopamine and dobutamine has been studied. Finally, the sensor has been successfully applied for the detection of adrenaline in human blood plasma.
Using the OpenSim software and verified anatomical data, a computer model for the calculation of biomechanical parameters is developed and used to determine the effect of a reattachment of the Supraspinatus muscle with a medial displacement of the muscle attachment point, which may be necessary for a rupture of the supraspinatus tendon. The results include the influence of the operation on basic biomechanical parameters such as the lever arm, as well as the calculated the muscle activations for the supraspinatus and deltoid. In addition, the influence on joint stability is examined by an analysis of the joint reaction force. The study provides a detailed description of the used model, as well as medical findings to a reattachment of the supraspinatus.
Mit der Software OpenSim und überprüften anatomischen Daten wird ein Computermodell zur Berechnung von biomechanischen Parametern entwickelt und genutzt, um den Effekt einer Refixierung des Supraspinatusmuskels mit einer medialen Verschiebung des Muskelansatzpunktes zu ermitteln, wie sie unter anderem nach einem Riss der Supraspinatussehne notwendig sein kann. Die Ergebnisse umfassen hierbei den Einfluss der Operation auf grundlegende biomechanische Parameter wie den Hebelarm sowie die berechneten Muskelaktivierungen für den Supraspinatus und Deltoideus. Zusätzlich wird der Einfluss auf die Gelenkstabilität betrachtet und durch eine Analyse der Gelenkreaktionskraft untersucht. Die Studie bietet eine detaillierte Beschreibung des genutzten Modells, sowie medizinische Erkenntnisse zu einer Refixierung des Supraspinatus.
Particularly multiparous elderly women may suffer from vaginal vault prolapse after hysterectomy due to weak support from lax apical ligaments. A decreased amount of estrogen and progesterone in older age is assumed to remodel the collagen thereby reducing tissue stiffness. Sacrocolpopexy is either performed as open or laparoscopic surgery using prosthetic mesh implants to substitute lax ligaments. Y-shaped mesh models (DynaMesh, Gynemesh, and Ultrapro) are implanted in a 3D female pelvic floor finite element model in the extraperitoneal space from the vaginal cuff to the first sacral (S1) bone below promontory. Numerical simulations are conducted during Valsalva maneuver with weakened tissues modeled by reduced tissue stiffness. Tissues are modeled as incompressible, isotropic hyperelastic materials whereas the meshes are modeled either as orthotropic linear elastic or as isotropic hyperlastic materials. The positions of the vaginal cuff and the bladder base are calculated from the pubococcygeal line for female pelvic floor at rest, for prolapse and after repair using the three meshes. Due to mesh mechanics and mesh pore deformation along the loaded direction, the DynaMesh with regular rectangular mesh pores is found to provide better mechanical support to the organs than the Gynemesh and the Ultrapro with irregular hexagonal mesh pores.
Insbesondere ältere, mehrgebährende Frauen leiden häufiger an einem Scheidenvorfall nach einer Hysterektomie aufgrund der schwachen Unterstützung durch laxe apikale Bänder. Es wird angenommen, dass eine verringerte Menge an Östrogen und Progesteron im höheren Alter das Kollagen umformt, wodurch die Gewebesteifigkeit reduziert wird. Die Sakrokolpopexie ist eine offene oder laparoskopische Operation, die mit prothetischen Netzimplantaten durchgeführt wird, um laxe Bänder zu ersetzen. Y-förmige Netzmodelle (DynaMesh, Gynemesh und Ultrapro) werden in einem 3D-Modell des weiblichen Beckenbodens im extraperitonealen Raum vom Vaginalstumpf bis zum Promontorium implantiert. Numerische Simulationen werden während des Valsalva-Manövers mit geschwächtem Gewebe durchgeführt, das durch eine reduzierte Gewebesteifigkeit modelliert wird. Die Gewebe werden als inkompressible, isotrop hyperelastische Materialien modelliert, während die Netze entweder als orthotrope linear elastische oder als isotrope hyperlastische Materialien modelliert werden. Die Positionen des Vaginalstumpfs, der Blase und der Harnröhrenachse werden anhand der Pubococcygeallinie aus der Ruhelage, für den Prolaps und nach der Reparatur unter Verwendung der drei Netze berechnet. Aufgrund der Netzmechanik und der Netzporenverformung bietet das DynaMesh mit regelmäßigen rechteckigen Netzporen eine bessere mechanische Unterstützung und eine Neupositionierung des Scheidengewölbes, der Blase und der Urethraachse als Gynemesh und Ultrapro mit unregelmäßigen hexagonalen Netzporen.
A new formulation for the prediction of free surface dynamics related to the turbulence occurring nearby is proposed. This formulation, altogether with a breakup criterion, can be used to compute the inception of self-aeration in high velocity flows like those occurring in hydraulic structures. Assuming a simple perturbation geometry, a kinematic and a non-linear momentum-based dynamic equation are formulated and forces acting on a control volume are approximated. Limiting steepness is proposed as an adequate breakup criterion. Role of the velocity fluctuations normal to the free surface is shown to be the main turbulence quantity related to self-aeration and the role of the scales contained in the turbulence spectrum are depicted. Surface tension force is integrated accounting for large displacements by using differential geometry for the curvature estimation. Gravity and pressure effects are also contemplated in the proposed formulation. The obtained equations can be numerically integrated for each wavelength, hence resulting in different growth rates and allowing computation of the free surface roughness wavelength distribution. Application to a prototype scale spillway (at the Aviemore dam) revealed that most unstable wavelength was close to the Taylor lengthscale. Amplitude distributions have been also obtained observing different scaling for perturbations stabilized by gravity or surface tension. The proposed theoretical framework represents a new conceptualization of self-aeration which explains the characteristic rough surface at the non-aerated region as well as other previous experimental observations which remained unresolved for several decades.
After menopause, decreased levels of estrogen and progesterone remodel the collagen of the soft tissues thereby reducing their stiffness. Stress urinary incontinence is associated with involuntary urine leakage due to pathological movement of the pelvic organs resulting from lax suspension system, fasciae, and ligaments. This study compares the changes in the orientation and position of the female pelvic organs due to weakened fasciae, ligaments, and their combined laxity. A mixture theory weighted by respective volume fraction of elastin-collagen fibre compound (5%), adipose tissue (85%), and smooth muscle (5%) is adopted to characterize the mechanical behaviour of the fascia. The load carrying response (other than the functional response to the pelvic organs) of each fascia component, pelvic organs, muscles, and ligaments are assumed to be isotropic, hyperelastic, and incompressible. Finite element simulations are conducted during Valsalva manoeuvre with weakened tissues modelled by reduced tissue stiffness. A significant dislocation of the urethrovesical junction is observed due to weakness of the fascia (13.89 mm) compared to the ligaments (5.47 mm). The dynamics of the pelvic floor observed in this study during Valsalva manoeuvre is associated with urethral-bladder hypermobility, greater levator plate angulation, and positive Q-tip test which are observed in incontinent females.
In this work, a spore-based biosensor is evaluated to monitor the microbicidal efficacy of sterilization processes applying gaseous hydrogen peroxide (H2O2). The sensor is based on interdigitated electrode structures (IDEs) that have been fabricated by means of thin-film technologies. Impedimetric measurements are applied to study the effect of sterilization process on spores of Bacillus atrophaeus. This resilient microorganism is commonly used in industry to proof the sterilization efficiency. The sensor measurements are accompanied by conventional microbiological challenge tests, as well as morphological characterizations with scanning electron microscopy (SEM) and transmission electron microscopy (TEM). The sensor measurements are correlated with the microbiological test routines. In both methods, namely the sensor-based and microbiological one, a tailing effect has been observed. The results are evaluated and discussed in a three-dimensional calibration plot demonstrating the sensor's suitability to enable a rapid process decision in terms of a successfully performed sterilization.
Due to the Renewable Energy Act, in Germany it is planned to increase the amount of renewable energy carriers up to 60%. One of the main problems is the fluctuating supply of wind and solar energy. Here biogas plants provide a solution, because a demand-driven supply is possible. Before running such a plant, it is necessary to simulate and optimize the process. This paper provides a new model of a biogas plant, which is as accurate as the standard ADM1 model. The advantage compared to ADM1 is that it is based on only four parameters compared to 28. Applying this model, an optimization was installed, which allows a demand-driven supply by biogas plants. Finally the results are confirmed by several experiments and measurements with a real test plant.
In this paper we present an extension of the action language Golog that allows for using fuzzy notions in non-deterministic argument choices and the reward function in decision-theoretic planning. Often, in decision-theoretic planning, it is cumbersome to specify the set of values to pick from in the non-deterministic-choice-of-argument statement. Also, even for domain experts, it is not always easy to specify a reward function. Instead of providing a finite domain for values in the non-deterministic-choice-of-argument statement in Golog, we now allow for stating the argument domain by simply providing a formula over linguistic terms and fuzzy uents. In Golog’s forward-search DT planning algorithm, these formulas are evaluated in order to find the agent’s optimal policy. We illustrate this in the Diner Domain where the agent needs to calculate the optimal serving order.
20 Years of RoboCup
(2016)
Modulation of muscle-tendon interaction in the human triceps surae during an energy dissipation task
(2017)
Altered neurovascular coupling as measured by optical imaging: a biomarker for Alzheimer’s disease
(2017)
An immunochromatographic lateral flow dipstick assay for the fast detection of microcystin-LR was developed. Colloid gold particles with diameters of 40 nm were used as red-colored antibody labels for the visual detection of the antigen. The new dipstick sensor is capable of detecting down to 5 µg·l−1 (ppb; total inversion of the color signal) or 1 ppb (observation of color grading) of microcystin-LR. The course of the labeling reaction was observed via spectrometric wave shifts caused by the change of particle size during the binding of antibodies. Different stabilizing reagents showed that especially bovine serum albumin (BSA) and casein increase the assays sensitivity and the conjugate stability. Performance of the dipsticks was quantified by pattern processing of capture zone CCD images. Storage stability of dipsticks and conjugate suspensions over 115 days under different conditions were monitored. The ready-to-use dipsticks were successfully tested with microcystin-LR-spiked samples of outdoor drinking- and salt water and applied to the tissue of microcystin-fed mussels.
This paper describes the development of a capacitively coupled high-pressure lamp with input power between 20 and 43 W at 2.45 GHz, using a coaxial line network. Compared with other electrodeless lamp systems, no cavity has to be used and a reduction in the input power is achieved. Therefore, this lamp is an alternative to the halogen incandescent lamp for domestic lighting. To serve the demands of domestic lighting, the filling of the lamp is optimized over all other resulting requirements, such as high efficacy at low induced powers and fast startups. A workflow to develop RF-driven plasma applications is presented, which makes use of the hot S-parameter technique. Descriptions of the fitting process inside a circuit and FEM simulator are given. Results of the combined ignition and operation network from simulations and measurements are compared. An initial prototype is built and measurements of the lamp's lighting properties are presented along with an investigation of the efficacy optimizations using large signal amplitude modulation. With this lamp, an efficacy of 135 lmW -1 is achieved.
The immobilization of NAD+-dependent dehydrogenases, in combination with a diaphorase, enables the facile development of multiparametric sensing devices. In this work, an amperometric biosensor array for simultaneous determination of ethanol, formate, d- and l-lactate is presented. Enzyme immobilization on platinum thin-film electrodes was realized by chemical cross-linking with glutaraldehyde. The optimization of the sensor performance was investigated with regard to enzyme loading, glutaraldehyde concentration, pH, cofactor concentration and temperature. Under optimal working conditions (potassium phosphate buffer with pH 7.5, 2.5 mmol L-1 NAD+, 2.0 mmol L-1 ferricyanide, 25 °C and 0.4% glutaraldehyde) the linear working range and sensitivity of the four sensor elements was improved. Simultaneous and cross-talk free measurements of four different metabolic parameters were performed successfully. The reliable analytical performance of the biosensor array was demonstrated by application in a clarified sample of inoculum sludge. Thereby, a promising approach for on-site monitoring of fermentation processes is provided.
Three amperometric biosensors have been developed for the detection of L-malic acid, fumaric acid, and L -aspartic acid, all based on the combination of a malate-specific dehydrogenase (MDH, EC 1.1.1.37) and diaphorase (DIA, EC 1.8.1.4). The stepwise expansion of the malate platform with the enzymes fumarate hydratase (FH, EC 4.2.1.2) and aspartate ammonia-lyase (ASPA, EC 4.3.1.1) resulted in multi-enzyme reaction cascades and, thus, augmentation of the substrate spectrum of the sensors. Electrochemical measurements were carried out in presence of the cofactor β-nicotinamide adenine dinucleotide (NAD+) and the redox mediator hexacyanoferrate (III) (HCFIII). The amperometric detection is mediated by oxidation of hexacyanoferrate (II) (HCFII) at an applied potential of + 0.3 V vs. Ag/AgCl. For each biosensor, optimum working conditions were defined by adjustment of cofactor concentrations, buffer pH, and immobilization procedure. Under these improved conditions, amperometric responses were linear up to 3.0 mM for L-malate and fumarate, respectively, with a corresponding sensitivity of 0.7 μA mM−1 (L-malate biosensor) and 0.4 μA mM−1 (fumarate biosensor). The L-aspartate detection system displayed a linear range of 1.0–10.0 mM with a sensitivity of 0.09 μA mM−1. The sensor characteristics suggest that the developed platform provides a promising method for the detection and differentiation of the three substrates.
An enzyme-based reversible Controlled NOT (CNOT) logic gate operating on a semiconductor transducer
(2017)
An enzyme-based biocatalytic system mimicking operation of a logically reversible Controlled NOT (CNOT) gate has been interfaced with semiconductor electronic transducers. Electrolyte–insulator–semiconductor (EIS) structures have been used to transduce chemical changes produced by the enzyme system to an electronically readable capacitive output signal using field-effect features of the EIS device. Two enzymes, urease and esterase, were immobilized on the insulating interface of EIS structure producing local pH changes performing XOR logic operation controlled by various combinations of the input signals represented by urea and ethyl butyrate. Another EIS transducer was functionalized with esterase only, thus performing Identity (ID) logic operation for the ethyl butyrate input. Both semiconductor devices assembled in parallel operated as a logically reversible CNOT gate. The present system, despite its simplicity, demonstrated for the first time logically reversible function of the enzyme system transduced electronically with the semiconductor devices. The biomolecular realization of a CNOT gate interfaced with semiconductors is promising for integration into complex biomolecular networks and future biosensor/biomedical applications.
In this paper, carbon nanotubes (CNTs) were incorporated in penicillinase-phospholipid Langmuir and Langmuir–Blodgett (LB) films to enhance the enzyme catalytic properties. Adsorption of the penicillinase and CNTs at dimyristoylphosphatidic acid (DMPA) monolayers at the air–water interface was investigated by surface pressure–area isotherms, vibrational spectroscopy, and Brewster angle microscopy. The floating monolayers were transferred to solid supports through the LB technique, forming mixed DMPA-CNTs-PEN films, which were investigated by quartz crystal microbalance, vibrational spectroscopy, and atomic force microscopy. Enzyme activity was studied with UV–vis spectroscopy and the feasibility of the supramolecular device nanostructured as ultrathin films were essayed in a capacitive electrolyte–insulator–semiconductor (EIS) sensor device. The presence of CNTs in the enzyme–lipid LB film not only tuned the catalytic activity of penicillinase but also helped conserve its enzyme activity after weeks, showing increased values of activity. Viability as penicillin sensor was demonstrated with capacitance/voltage and constant capacitance measurements, exhibiting regular and distinctive output signals over all concentrations used in this work. These results may be related not only to the nanostructured system provided by the film, but also to the synergism between the compounds on the active layer, leading to a surface morphology that allowed a fast analyte diffusion because of an adequate molecular accommodation, which also preserved the penicillinase activity. This work therefore demonstrates the feasibility of employing LB films composed of lipids, CNTs, and enzymes as EIS devices for biosensing applications.
To study chemical and biological processes, spatially resolved determination of the concentrations of one or more analyte species is of distinct interest. With a light-addressable potentiometric sensor (LAPS), chemical images can be created, which visualize the concentration distribution above the sensor plate. One important challenge is to achieve a good lateral resolution in order to detect events that take place in a small and limited region. LAPS utilizes a focused light spot to address the measurement region. By moving this light spot along the semiconductor sensor plate, the concentration distribution can be observed. In this study, we show that utilizing a pulse as light excitation instead of a traditionally used continuously modulated light excitation, the lateral resolution can be improved by a factor of 6 or more.
A high-Q resonance-mode measurement of EIS capacitive sensor by elimination of series resistance
(2017)
An EIS capacitive sensor is a semiconductor-based potentiometric sensor, which is sensitive to the ion concentration or pH value of the solution in contact with the sensing surface. To detect a small change in the ion concentration or pH, a small capacitance change must be detected. Recently, a resonance-mode measurement was proposed, in which an inductor was connected to the EIS capacitive sensor and the resonant frequency was correlated with the pH value. In this study, the Q factor of the resonant circuit was enhanced by canceling the internal resistance of the reference electrode and the internal resistance of the inductor coil with the help of a bypass capacitor and a negative impedance converter, respectively. 1% variation of the signal in the developed system corresponded to a pH change of 3.93 mpH, which was about 1/12 of the conventional method, suggesting a better performance in detection of a small pH change.
Prior to immobilization of biomolecules or cells onto biosensor surfaces, the surface must be physically or chemically activated for further functionalization. Organosilanes are a versatile option as they facilitate the immobilization through their terminal groups and also display self-assembly. Incorporating hydroxyl groups is one of the important methods for primary immobilization. This can be done, for example, with oxygen plasma treatment. However, this treatment can affect the performance of the biosensors and this effect is not quite well understood for surface functionalization. In this work, the effect of O2 plasma treatment on EIS sensors was investigated by means of electrochemical characterizations: capacitance–voltage (C–V) and constant capacitance (ConCap) measurements. After O2 plasma treatment, the potential of the EIS sensor dramatically shifts to a more negative value. This was successfully reset by using an annealing process.
The integration of biomolecular logic principles with electronic transducers allows designing novel digital biosensors with direct electrical output, logically triggered drug-release, and closed-loop sense/act/treat systems. This opens new opportunities for advanced personalized medicine in the context of theranostics. In the present work, we will discuss selected examples of recent developments in the field of interfacing enzyme logic gates with electrodes and semiconductor field-effect devices. Special attention is given to an enzyme OR/Reset logic gate based on a capacitive field-effect electrolyte-insulator-semiconductor sensor modified with a multi-enzyme membrane. Further examples are a digital adrenaline biosensor based on an AND logic gate with binary YES/NO output and an integrated closed-loop sense/act/treat system comprising an amperometric glucose sensor, a hydrogel actuator, and an insulin (drug) sensor.
A physically coupled finite element method (FEM) model is developed to study the response behavior of a calorimetric gas sensor. The modeled sensor serves as a monitoring device of the concentration of gaseous hydrogen peroxide (H2 O2) in a high temperature mixture stream in aseptic sterilization processes. The principle of operation of a calorimetric H2 O2 sensor is analyzed and the results of the numerical model have been validated by using previously published sensor experiments. The deviation in the results between the FEM model and experimental data are presented and discussed.
A light-addressable potentiometric sensor (LAPS) is a field-effect-based potentiometric sensor with an electrolyte/insulator/semiconductor (EIS) structure, which is able to monitor analyte concentrations of (bio-)chemical species in aqueous solutions in a spatially resolved way. Therefore, it is also an appropriate tool to record 2D-chemical images of concentration variations on the sensor surface. In the present work, two differential, LAPS-based measurement principles are introduced to determine the metabolic activity of Escherichia coli (E. coli) K12 and Chinese hamster ovary (CHO) cells as test microorganisms. Hereby, we focus on i) the determination of the extracellular acidification rate (ΔpH/min) after adding glucose solutions to the cell suspensions; and ii) recording the amplitude increase of the photocurrent (Iph) related to the produced acids from E. coli K12 bacteria and CHO cells on the sensor surface by 2D-chemical imaging. For this purpose, 3D-printed multi-chamber structures were developed and mounted on the planar sensor-chip surface to define four independent compartments, enabling differential measurements with varying cell concentrations. The differential concept allows eliminating unwanted drift effects and, with the four-chamber structures, measurements on the different cell concentrations were performed simultaneously, thus reducing also the overall measuring time.
The incorporation of nanomaterials that are biocompatible with different types of biological compounds has allowed the development of a new generation of biosensors applied especially in the biomedical field. In particular, the integration of film-based nanomaterials employed in field-effect devices can be interesting to develop biosensors with enhanced properties. In this paper, we studied the fabrication of sensitive nanofilms combining ZnO nanocrystals and carbon nanotubes (CNTs), prepared by means of the layer-by-layer (LbL) technique, in a capacitive electrolyte-insulator-semiconductor (EIS) structure for detecting glucose and urea. The ZnO nanocrystals were incorporated in a polymeric matrix of poly(allylamine) hydrochloride (PAH), and arranged with multi-walled CNTs in a LbL PAH-ZnO/CNTs film architecture onto EIS chips. The electrochemical characterizations were performed by capacitance–voltage and constant capacitance measurements, while the morphology of the films was characterized by atomic force microscopy. The enzymes glucose oxidase and urease were immobilized on film’s surface for detection of glucose and urea, respectively. In order to obtain glucose and urea biosensors with optimized amount of sensitive films, we investigated the ideal number of bilayers for each detection system. The glucose biosensor showed better sensitivity and output signal for an LbL PAH-ZnO/CNTs nanofilm with 10 bilayers. On the other hand, the urea biosensor presented enhanced properties even for the first bilayer, exhibiting high sensitivity and output signal. The presence of the LbL PAH-ZnO/CNTs films led to biosensors with better sensitivity and enhanced response signal, demonstrating that the adequate use of nanostructured films is feasible for proof-of-concept biosensors with improved properties that may be employed for biomedical applications.
Malaria infection remains a significant risk for much of the population of tropical and subtropical areas, particularly in developing countries. Therefore, it is of high importance to develop sensitive, accurate and inexpensive malaria diagnosis tests. Here, we present a novel aptamer-based electrochemical biosensor (aptasensor) for malaria detection by impedance spectroscopy, through the specific recognition between a highly discriminatory DNA aptamer and its target Plasmodium falciparum lactate dehydrogenase (PfLDH). Interestingly, due to the isoelectric point (pI) of PfLDH, the aptasensor response showed an adjustable detection range based on the different protein net-charge at variable pH environments. The specific aptamer recognition allows sensitive protein detection with an expanded detection range and a low detection limit, as well as a high specificity for PfLDH compared to analogous proteins. The specific feasibility of the aptasensor is further demonstrated by detection of the target PfLDH in human serum. Furthermore, the aptasensor can be easily regenerated and thus applied for multiple usages. The robustness, sensitivity, and reusability of the presented aptasensor make it a promising candidate for point-of-care diagnostic systems.