Chemie und Prozesstechnik
Filtern
Erscheinungsjahr
- 2022 (144) (entfernen)
Dokumenttyp
- Vortrag (144)
Sprache
- Englisch (144) (entfernen)
Referierte Publikation
- nein (144)
Schlagworte
- Metrology (7)
- LIBS (6)
- Laser ablation (6)
- PFAS (6)
- Thermography (6)
- Traceability (6)
- BAMline (5)
- Concrete (5)
- Non-destructive testing (5)
- Surface coating (5)
- XAS (5)
- Bayesian Statistics (4)
- Laser Powder Bed Fusion (4)
- Machine Learning (4)
- NDT (4)
- Plasma chemistry (4)
- Quality Infrastructure (4)
- Quality assurance (4)
- Soil (4)
- Synchrotron (4)
- XANES spectroscopy (4)
- Additive manufacturing (3)
- Chlorine (3)
- Convolutional Neural Networks (3)
- Copper (3)
- Digitalization (3)
- Emission spectroscopy (3)
- Fluorine (3)
- GEXRF (3)
- Graphene (3)
- Grazing exit (3)
- High entropy alloys (3)
- High entropy materials (3)
- Hydrodynamic model (3)
- Imaging (3)
- In-situ Monitoring (3)
- Industry 4.0 (3)
- Isotope delta value (3)
- Isotope ratio (3)
- Laser induced plasma deposition (3)
- Mechanochemistry (3)
- Nanomaterials (3)
- Nondestructive testing (3)
- Online NMR Spectroscopy (3)
- Optimization (3)
- Plasma modeling (3)
- Process Industry (3)
- Reliability (3)
- Simulation (3)
- XANES (3)
- Absolute isotope ratio (2)
- Air-coupled ultrasound (2)
- Artificial Inelligence (2)
- Automation (2)
- Bioinformatics (2)
- Building materials (2)
- Certification (2)
- Civil engineering (2)
- Combustion ion chromatography (2)
- Computed Tomography (2)
- Computed tomography (2)
- Conformity assessment (2)
- DLP (2)
- DMD (2)
- DNA (2)
- Depth profiling (2)
- Digital Transformatioin (2)
- Digital transformation (2)
- Digitaler Reifegrad (2)
- Digitalisation (2)
- Digitalisierung (2)
- Dye (2)
- Eddy current (2)
- Elastic waves (2)
- Fluorescence (2)
- Flying line thermography (2)
- Gaussian process (2)
- Gold (2)
- HR-CS-AAS (2)
- HR-CS-GFMAS (2)
- Harmonisation (2)
- Hydrogen (2)
- ICP-MS (2)
- In situ (2)
- Inspection (2)
- Interlaboratory comparison (2)
- Internal defects (2)
- Inverse procedure (2)
- Isotopes (2)
- Konformitätsbewertung (2)
- Lamb waves (2)
- Laser induced plasma (2)
- Lifetime (2)
- Lithium (2)
- Lithium Ion Batteries (2)
- Load transfer (2)
- Luminescence (2)
- MOUSE (2)
- Machine learning (2)
- Measurement uncertainty (2)
- Microwave inductively coupled atmospheric pressure mass spectrometry (MICAP-MS) (2)
- Modular Production (2)
- Multi-element analysis (2)
- Nano (2)
- Nanoparticle (2)
- Neural network (2)
- Neutron Diffraction (2)
- Nitrogen plasma (2)
- Nuclear magnetic resonance (2)
- Nucleoprotein filaments (2)
- Particle (2)
- Photophysics (2)
- Pigments (2)
- Process Analytical Technology (2)
- Prüflaboratorien (2)
- Qualitätsinfrastruktur (2)
- Quantitative spectroscopy (2)
- Quantum yield (2)
- Radiation (2)
- Radiation damage (2)
- Radiation damage dosimetry (2)
- Recycling (2)
- Reference material (2)
- Risk assessment (2)
- SEM (2)
- Single-stranded DNA-binding protein (2)
- Specialty Chemicals (2)
- Standard (2)
- Standardization (2)
- Super resolution (2)
- Surface breaking defects (2)
- Tendon duct (2)
- Testing laboratories (2)
- Time resolved (2)
- Titanium dioxide (2)
- Ultrasonic (2)
- Uncertainty (2)
- Validation (2)
- Virus protoemics (2)
- X-ray photoelectron spectroscopy (2)
- X-ray refraction (2)
- X-ray refraction radiography (2)
- Zertifizierungsstellen (2)
- 3D image analysis (1)
- AIC picker (1)
- Additive manufacturing of concrete (1)
- Advanced Materials (1)
- Aeroacoustics (1)
- Aerodynamics (1)
- Aging (1)
- Aging Mechanisms (1)
- Al alloys (1)
- Aluminium Alloys (1)
- Alzheimer disease (1)
- Amorphous materials (1)
- Analysis (1)
- Analytical method (1)
- Analytical sciences (1)
- Analyzer-Based Imaging (1)
- Antibody (1)
- Antibody quantification (1)
- Arrival time (1)
- Artificial intelligence (1)
- Assay (1)
- Assessment (1)
- Atomic absorption spectrometry (1)
- Atomic spectroscopy (1)
- Automated data tagging (1)
- Batch analysis (1)
- Battery (1)
- Benchtop NMR Spectroscopy (1)
- Bingham fluid (1)
- Biodiesel fuel (1)
- Bistable amplifier (1)
- Blank characterization (1)
- Bridge (1)
- Bunsen-Kirchhoff-Preis (1)
- CCQM (1)
- CE (1)
- CFD computational fluid dynamic (1)
- CaF (1)
- Calcium (1)
- Calcium monofluoride (1)
- Cancer (1)
- Canny approach (1)
- Capillary conductivity (1)
- Carbon cycle (1)
- Carbon fibre reinforced polymer (1)
- Cathodoluminescence (1)
- Cell (1)
- Cement (1)
- Cement pastes (1)
- Certified Referencematerial (1)
- Characterisation (1)
- Chemical composition (1)
- Chlorides (1)
- Circular economy (1)
- Coatings (1)
- Coda wave (1)
- Comparability (1)
- Conductometry (1)
- Construction and demolition waste (1)
- Continuum source atomic absorption spectrometry (1)
- Core-shell particles (1)
- Correlative Imaging (1)
- Corrosion (1)
- Cubical Iron Oxide (1)
- Cytotoxicity (1)
- Damage assessment (1)
- Damage evolution (1)
- Data Analysis (1)
- Data analysis (1)
- Data analysis round robin (1)
- Data management (1)
- Data mining (1)
- Data tagging (1)
- Defect Prediction (1)
- Defect prediction (1)
- Delta scale (1)
- Dementia (1)
- Diatom, Bacteria (1)
- Diatomic molecules (1)
- Diffraction elastic constants (1)
- Digitization (1)
- Dispersionsabbildungen (1)
- Doping (1)
- Doppler effect (1)
- Dynamic stall (1)
- EDS (1)
- EDS-TM002 (1)
- EDX (1)
- EN 16516 (1)
- Electrode materials (1)
- Electron Microscopy (1)
- Electron number density (1)
- Emission line profiles (1)
- Emission reference materials (1)
- Emission test chamber procedure (1)
- Energy Gases (1)
- Ergot alkaloids (1)
- Excitation processes (1)
- Existing Concrete Structures (1)
- Existing structures (1)
- FAIR (1)
- FIB (1)
- FMEA (1)
- Failure Modes and Effects Analysis (1)
- Fertilizer (1)
- Fibre-reinforced polymers (1)
- Fluidic oscillators (1)
- Fluidics (1)
- Fluorinated MOFs (1)
- Frequency modulation (1)
- Frost salt attach (1)
- Functionalized graphene (1)
- Functionalized nano- and microparticles (1)
- GD-OES (1)
- GPR (1)
- GVP G5P (1)
- Gas Analysis (1)
- Gas Reference Material (1)
- Gene-V Protein (1)
- Geophysics (1)
- Geostatistics (1)
- Geotechnics (1)
- Glass fibre reinforced polymer (1)
- Graphene related materials (1)
- Graphical models (1)
- Graphite furnace (1)
- Guided Waves (1)
- Gypsum (1)
- H2020 (1)
- HR-CS-MAS (1)
- Halogens (1)
- Hard X-ray photoelectron spectroscopy (1)
- High-resolution absorption isotopic spectrometry (1)
- Human Factors (1)
- Human serum (1)
- Hydrogen Storage Materials (1)
- Hyperspectral imaging (1)
- ICP-TOF-MS (1)
- ISO 16000-6 (1)
- In situ PXRD (1)
- In situ real-time monitoring (1)
- InP (1)
- Instrumentation utilization (1)
- Insulation material (1)
- Integrating sphere spectroscopy (1)
- Intercomparability (1)
- Interlaboratory Comparisons (1)
- Interlaboratory tests (1)
- Iron (1)
- Isotope dilution mass spectrometry (1)
- Isotope reference materials (1)
- Laboratory management (1)
- Large number of participants (1)
- Laser metal deposition (1)
- Laser powder bed fusion (1)
- Laser spectroscopy (1)
- Laser-induced periodic surface structures (1)
- Life sciences (1)
- Lithium isotope (1)
- Localisation (1)
- Luftgekoppelte Ultraschallprüfung (1)
- MC-ICP-MS (1)
- MDG (1)
- Machine-Assisted Workflows (1)
- Maschinelles Lernen (1)
- Mass Spectrometry (1)
- Mass spectrometry (1)
- Material - Environment interaction (1)
- Material classification (1)
- Material testing (1)
- Measurement Uncertainty (1)
- Measurement data (1)
- Measurement organization (1)
- Mechanochemical treatment (1)
- Mechanochemictry (1)
- Mesopores (1)
- Mesoporous iridium oxide films (1)
- Messunsicherheit (1)
- Method comparison (1)
- Method development (1)
- Methodology (1)
- Michromechanical modeling (1)
- Microbiological influenced corrosion MIC (1)
- Microfluidics (1)
- Microplastic (1)
- Microplastics (1)
- Microplastics standardisation (1)
- Microscopy (1)
- Microstructures (1)
- Microwave (1)
- Microwave plasma (1)
- Mie resonances (1)
- Miscible polymer films (1)
- Moisture (1)
- Moisture transport (1)
- Monitoring (1)
- Muon tomography (1)
- NDT Reliability (1)
- NFDI (1)
- NMR (1)
- NMR spectroscopy (1)
- Nachrechnung (1)
- Nanomaterial (1)
- Nanoparticles (1)
- Nanoplastics (1)
- Neutron diffraction (1)
- Non-Destructive Testing (1)
- Non-destructive operando analysis (1)
- Non-metals (1)
- Numerical simulation (1)
- Open access (1)
- Optical assays (1)
- Optical emission spectroscopy (1)
- Optical sensor (1)
- Oxygen (1)
- Oxygen evolution reaction (1)
- PBF-LB (1)
- Particle surface analysis (1)
- Performance assessment (1)
- Performance check (1)
- Pharmaceuticals (1)
- Phosphorus (1)
- Physisorption (1)
- Plasma (1)
- Plasma diagnostics (1)
- Polymer (1)
- Pore nucleation (1)
- Pore-size distribution (1)
- Porosity (1)
- Procee Analytical Technology (1)
- Process Control (1)
- Process analytical technology (1)
- Process control (1)
- Process monitoring (1)
- Protein expression and purification (1)
- Protein purification and expression (1)
- Quantification (1)
- Quantum dot (1)
- Quantum dots (1)
- Querkraftnachweis (1)
- Raman (1)
- Raman microspectroscopy (1)
- Raman spectroscopy (1)
- Reconstruction (1)
- Reference data (1)
- Reference materials (1)
- Reinforcement (1)
- Residual Stresses (1)
- Residual stress (1)
- Robot-assisted thermography (1)
- Roughness (1)
- Round robin (1)
- Round robin tests (1)
- Röntgenfluoreszenz (1)
- SAXS (1)
- SEM tilting (1)
- Safety (1)
- Sample preparation (1)
- Sc-ICP-ToF-MS (1)
- Scaled Boundary Finite Element Method (1)
- Selective excitation (1)
- Sensor (1)
- Sensors (1)
- Service life (1)
- Sewage sludge (1)
- Si network (1)
- Silica (1)
- Silicon (1)
- Silicon nanoparticles (1)
- Single cell (1)
- Sliding (1)
- Small angle scattering (1)
- Small-Angle X-ray Scattering (1)
- Sorting (1)
- Spalling (1)
- Spatial information (1)
- Speciation Analysis (1)
- Species-specific Isotope ratios (1)
- Spectroscopic ellipsometry (1)
- Standard addition (1)
- Standardized check (1)
- Standards (1)
- Steel (1)
- Structural Health Monitoring (1)
- Structural characterisation (1)
- Sub-doppler spectroscopy (1)
- Sulfur (1)
- Sum Parameter (1)
- Surface (1)
- Surface Analytics (1)
- Surface analysis (1)
- Surface group quantification (1)
- Surface roughness (1)
- Synchrotron radiation (1)
- TIC (1)
- Taxonomic analysis (1)
- Taxonomic inference (1)
- Temperatures (1)
- Terminal functional groups (1)
- Test material (1)
- Tetramethylammonium hydroxide (1)
- Thermal equilibrium (1)
- Through-transmission (1)
- Time of Flight - Secondary ion mass spectrometry (1)
- Titania (1)
- Titanium alloy (1)
- ToF (1)
- ToF-SIMS (1)
- Tomography (1)
- Trace Analysis (1)
- Trace analysis (1)
- Transferrin (1)
- Tribology (1)
- Tunnel Inspection (1)
- Ultra sound (1)
- Ultraschallwandler (1)
- Ultrasound (1)
- Unstrained reference (1)
- Upconversion nanocrystal (1)
- VVOCs (1)
- WAXS (1)
- Wear (1)
- White light interferometric microscopy (1)
- Wind turbine (1)
- X-ray absorption near-edge structure (XANES) spectroscopy (1)
- X-ray diffraction (1)
- X-ray fluorescence (1)
- X-ray scattering (1)
- X-ray spectrometer (1)
- XPS (1)
- Zinc (1)
- Zr-Modifier (1)
- Zuverlässigkeitsbewertung (1)
- graphical models (1)
- i-TRIBOMAT (1)
- infrared spectroscopy (1)
- micromechanical modeling (1)
- pH (1)
- qNMR (1)
- sc-ICP-ToF-MS (1)
Organisationseinheit der BAM
- 1 Analytische Chemie; Referenzmaterialien (51)
- 8 Zerstörungsfreie Prüfung (50)
- 6 Materialchemie (33)
- 8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen (18)
- 8.0 Abteilungsleitung und andere (17)
- 1.1 Anorganische Spurenanalytik (15)
- 6.1 Oberflächen- und Dünnschichtanalyse (15)
- 1.3 Instrumentelle Analytik (11)
- 6.3 Strukturanalytik (11)
- 8.5 Röntgenbildgebung (10)
Eingeladener Vortrag
- nein (144) (entfernen)
Introduction: The influence of copper, iron and zinc concentrations on the formation of ß-amyloid plaques and neurofibrillary tangles in Alzheimer’s disease (AD) is widely discussed in the community. The results from human and animal studies so far are mixed with some studies showing a correlation and others not. From a number of studies, it is known that disease state and isotopic composition of essential elements can be coupled.
Aim: The aim of the study was to identify changes in element content and isotopic composition in two transgenic mouse models used in AD research compared to their genetic WT relatives and to establish whether element content and isotopic signature between different laboratories is comparable.
Methods: ß-amyloid (5xFAD) and tau overexpressing (L66) mice together with their matching wild-types were bred at dedicated facilities in accordance with the European Communities Council Directive (63/2010/EU). Serum and brain were sampled after sacrifice and the samples distributed among the participants of the study. The tissues were acid digested for total element determination and high-precision isotope ratio determination. Element content was determined by either sector-field or quadrupole-based inductively coupled plasma mass spectrometry (ICPMS). For the determination of isotope ratios multi-collector ICPMS was used.
Results: Total copper content was significantly higher for L66 and their matched WT compared to 5xFAD and WT. Brains of L66 mice contained more Fe in brain than their WT, Zn and Cu were not significantly different between L66 and WT. Whereas 5xFAD mice had a slightly lower Cu and slightly higher Zn concentration in brain compared to WT. The isotopic signature in brain of L66 mice for Fe was different from their controls, whereas Zn isotope ratios were influenced in 5xFAD mice compared to their WT . The Cu isotopic ratio did not seem to be influenced in either strain. In serum, the shifts were less pronounced.
Conclusion: Even though neither Tau-protein nor amyloid precursor protein are known to be metal-dependent / -containing proteins, the overexpression of both influences the Fe, Cu and Zn metabolism in brain and to some extent also in serum as can be seen not only using total element determination but probably more clearly studying the isotopic signature of Fe, Cu and Zn.
Capillary active interior insulation materials are an important approach to minimize energy losses of historical buildings. A key factor for their performance is a high liquid conductivity, which enables redistribution of liquid moisture within the material. We set up an experiment to investigate the development of moisture profiles within two different interior insulation materials, calcium-silicate (CaSi) and expanded perlite (EP), under constant boundary conditions. The moisture profiles were determined by two different methods: simple destructive sample slicing with subsequent thermogravimetric drying as well as non-destructive NMR measurements with high spatial resolution. The moisture profiles obtained from both methods show good agreement, when compared at the low spatial resolution of sample slicing, which demonstrates the reliability of this method. Moreover, the measured T2- relaxation-time distributions across the sample depth were measured, which may give further insight into the saturation degree of the different pore sizes. In order to explain differences in the moisture profiles between CaSi and EP, we determined their pore-size distribution with different methods: conversion of the NMR T2 relaxationtime distribution at full saturation, mercury intrusion porosimetry and indirect determination from pressure plate measurements. CaSi shows a unimodal distribution at small pore diameters, while in EP, a bi-modal or wider distribution was found. We assume that the smaller pore diameters of CaSi lead to a higher capillary conductivity, which causes a more distributed moisture profile in comparison with that of EP.
The rails of modern railways face an enormous wear and tear from ever increasing train speeds and loads. This necessitates diligent non-destructive testing for defects of the entire railway system.
Non-destructive testing of rail tracks is carried out by rail inspection trains equipped with ultrasonic and eddy current test devices. However, the evaluation of the gathered data is mainly done manually with a strong focus on ultrasonic data, and defects are checked on-site using hand-held testing equipment. Maintenance measures are derived based on these on-site findings.
The aim of the AIFRI project (Artificial Intelligence For Rail Inspection) is to
- increase the degree of automation of the inspection process, from the evaluation of the data to the planning of maintenance measures,
- increase the accuracy of defect detection,
- automatically classify detected indications into risk classes.
These aims will be achieved by training a neural network for defect detection and classification. Since the current testing data is unbalanced, insufficiently labeled and largely unverified we will supplement fused, simulated eddy current and ultrasonic testing data in form of a configurable digital twin.
Non-destructive testing of rail tracks is carried out by using rail inspection cars equipped with ultrasonic and eddy current measurement. The evaluation of test data is mainly done manually, supported by a software tool which pre-selects relevant indications shown to the evaluators. The resulting indications have to be checked on-site using hand-held testing equipment. Maintenance interventions are then derived on the basis of these on-site findings.
Overall aim of the AIFRI (Artificial Intelligence For Rail Inspection) project - funded by the German Federal Ministry of Digital and Transport (BMDV) as part of the mFUND programme under funding code 19FS2014 – is to increase the degree of automation of the inspection process from the evaluation of the data to the planning of maintenance interventions. The accuracy of defect detection shall be increased by applying AI methods in order to enable an automated classification of detected indications into risk classes. For this purpose, data from both eddy current inspections and ultrasonic inspections will be used in combination.
Within the framework of this data-driven project, relevant defect patterns and artefacts present in the rail are analysed and implemented into a configurable digital twin. With the help of this digital twin virtual defects can be generated and used to train AI algorithms for detection and classification. With the help of reliability assessment trained AI algorithms will be evaluated with regard to the resulting quality in defect detection and characterisation.
A particular aspect of the development of AI methods is the data fusion of different NDT data sources: Thereby, synergies are used that arise from linking eddy current and ultrasonic inspection data in a combined model.
In the course of the project a demonstrator consisting of the developed IT-tool and an asset management system will be implemented and tested in the field using real-world data.
pH and oxygen are amongst the most important and frequently measured analytes in the life and material sciences, indicating, e.g., diseases and corrosion processes. This includes the optical monitoring of pH in living cells for studying cellular internalization pathways, such as phagocytosis, endocytosis, and receptor ligand internalization with the aid of molecular and nanoscale fluorescent sensors. Nanoparticle (NP)-based sensors, that are labeled or stained with a multitude of sensor dyes, have several advantages as compare to conventional molecular probes like enhanced brightness, i.e., amplified signals, ease of designing ratiometric systems by combining analyte sensitive and inert reference dyes, and increased photostability. Moreover, this can enable the use of hydrophobic dyes in aqueous environments. Versatile templates and carriers for the fabrication of nanosensors by the staining and/or labelling with different fluorophores and sensor molecules or surface functionalized NP like silica (SiO2-NP) and polystyrene (PS-NP) particles provide. Here we present the design of a versatile platform of color emissive nanosensors and stimuli-responsive microparticles for the measurement of pH, oxygen, and other targets utilizing both types of matrices and sets of spectrally distinguishable sensor and reference dyes and their characterization and demonstrate the applicability of representative sensor particle for cellular studies.
Bioanalytical, diagnostic, and security applications require the fast and sensitive determination of a steadily increasing number of analytes or events in parallel in a broad variety of detection formats and increased sensitivities. This – flanked by recent technical advancements and the availability of simple to use, commercial time-resolved photoluminescence measuring devices at reasonable costs - calls for the exploitation of the species- and environment-specific photoluminescence parameter luminescence lifetime. In this context, time-resolved photoluminescence measurements of different classes of molecular and nanocrystalline emitter and luminescent particles in different time windows are presented and examples for applications such as lifetime multiplexing and barcoding in conjunction with fluorescence lifetime imaging microscopy (FLIM) and flow cytometry are given.
Due to their unique physico-chemical properties, nanoparticles are well established in research and industrial applications. A reliable characterization of their size, shape, and size distribution is not only mandatory to fully understand and exploit their potential and develop reproducible syntheses, but also to manage environmental and health risks related to their exposure and for regulatory requirements. To validate and standardize methods for the accurate and reliable particle size determination nanoscale reference materials (nanoRMs) are necessary. However, there is only a very small number of nanoRMs for particle size offered by key distributors such as the National Institute of Standards and Technology (NIST) and the Joint Research Centre (JRC) and, moreover, few provide certified values. In addition, these materials are currently restricted to polymers, silica, titanium dioxide, gold and silver, which have a spherical shape except for titania nanorods. To expand this list with other relevant nanomaterials of different shapes and elemental composition, that can be used for more than one sizing technique, we are currently building up a platform of novel nanoRMs relying on iron oxide nanoparticles of different shape, size and surface chemistry. Iron oxide was chosen as a core material because of its relevance for the material and life sciences.
Since its discovery, graphene has got growing attention in the industrial and application research due to its unique properties . However, graphene has not been yet implemented into the industrial market, in particularly due to the difficulty of properly characterizing this challenging material. As most of other nanomaterials, graphene’s properties are closely linked to its chemical and structural properties, such as number of layers, flake thickness, degree of functionalisation and C/O ratio. For the commercialization, suitable procedures for the measurement and characterization of the ultrathin flakes, of lateral dimensions in the range from µm to tens of µm, are essential.Surface chemical methods, especially XPS, have an outstanding role of providing chemical information on the composition. Thereby, one well-known problem for surface analytical methods is the influence of contamination on the composition as in the case of adventitious carbon. The differentiation between carbon originated from the contamination or from the graphene sample itself is often not obvious, which can lead to altered results in the determination of the composition. To overcome this problem, Hard Energy X-ray Photoelectron Spectroscopy (HAXPES) offers new possibilities due to its higher information depth. Therefore, XPS measurement obtained with Al Kα radiation (E = 1486. 6 eV) were compared with analyses performed with a Cr Kα (E = 5414. 8 eV) excitation on functionalized graphene samples. Differences are discussed in terms of potential carbon contamination, but also of oxygen on the composition of the samples. Measurements are performed on O-, N- and F-functionalized graphene. Different preparation procedures (powder, pellet, drop cast from liquid suspension) will be also discussed, correlation of the results with the flakes morphology as well as their validation with other independent methods are in progress.
In mass spectrometry based proteomics, protein homology leads to
many shared peptides within and between species. This complicates
taxonomic inference. inference. We introduce PepGM, a graphical model for taxonomic profiling of viral proteomes and metaproteomic datasets.
Using the graphical model, our approach computes statistically sound
scores for taxa based on peptide scores from a previous database
search, eliminating the need for commonly used heuristics.