Analytische Chemie
Filtern
Erscheinungsjahr
- 2022 (89) (entfernen)
Dokumenttyp
- Posterpräsentation (89) (entfernen)
Referierte Publikation
- nein (89)
Schlagworte
- Fluorescence (6)
- BAMline (5)
- Process Analytical Technology (4)
- X-ray imaging (4)
- Additive manufacturing (3)
- Amperometry (3)
- Benchtop NMR (3)
- Bioinformatics (3)
- Luminescence (3)
- Metrology (3)
- Modular production (3)
- Taxonomic analysis (3)
- Tomography (3)
- Amoxicillin (2)
- Certified reference material (2)
- Civil engineering (2)
- Computed tomography (2)
- Conventional isotope ratio (2)
- Core-shell particles (2)
- EMN (2)
- Electrochemistry (2)
- Fluorine (2)
- Graphical models (2)
- HR-CS-GFMAS (2)
- Immunosensor (2)
- Laser powder bed fusion (2)
- Machine Learning (2)
- Mass spectrometry (2)
- Microfluidics (2)
- NMR (2)
- Non-destructive testing (2)
- PFAS (2)
- Photoluminescence (2)
- Polymerization (2)
- Quantum dots (2)
- Quantum yield (2)
- Scanning electron microscopy (2)
- Screening (2)
- Soil (2)
- Standard (2)
- Synchrotron X-ray computed tomography (2)
- Synchrotron radiation (2)
- TED-GC/MS (2)
- Traceability (2)
- Uncertainty (2)
- Virus protoemics (2)
- Volatile organic compounds (2)
- WFD (2)
- Wastewater (2)
- ADAMTS4 (1)
- Advanced manufacturing (1)
- Air coupled ultrasound (1)
- Air-coupled ultrasound (1)
- Algorithms (1)
- Analysis (1)
- Analytical method (1)
- Aorta (1)
- Artificial Inelligence (1)
- Assay (1)
- Atomic absorption spectroscopy (1)
- Automatisierung (1)
- Bayesian Statistics (1)
- Bildverarbeitung (1)
- Biosensor (1)
- Biosensors (1)
- Bisphenols (1)
- Borosilicate glass (1)
- Brennfleckvermessung (1)
- Bronze (1)
- Building materials (1)
- CRM (1)
- Canine olfactometry (1)
- Capsules (1)
- Carbon steel corrosion (1)
- Cardiovascular diseases (1)
- Cascade impactor (1)
- Catalysis (1)
- Circular economy (1)
- Coded Aperture (1)
- Coherent Heterodyne (1)
- Colorchanging Particles (1)
- Compact NMR (1)
- Computer Tomographie (1)
- Construction and demolition waste (1)
- Contrast agent (1)
- Core-Shell Particles (1)
- Core-shell (1)
- Core–shell particles (1)
- Cylic Voltammetry (1)
- Cytometry (1)
- DLP (1)
- DMD (1)
- DNA (1)
- DNA-Sequencing (1)
- Deep Learning (1)
- Diagnostic (1)
- Diclofenac (1)
- Digitaler Zwilling (1)
- Digitalisation (1)
- Digitalisierung (1)
- Direct laser writing (1)
- Distributed Fiber Optic Sensor (1)
- Drone (1)
- Dust sensor (1)
- EDC (1)
- EMPIR (1)
- EN 16516 (1)
- EQS (1)
- Electrochemical sensor (1)
- Electron Probe Microanalysis (1)
- Emerging pollutants (1)
- Energy dispersive X-ray spectroscopy (1)
- Environment (1)
- Epitaxially grown 4H-SiC layers (1)
- Ergot alkaloids (1)
- Estrogens (1)
- European Metrology Network (1)
- Flexible electronics (1)
- Flexible sensorics (1)
- Fluid inclusion microthermometry (1)
- Fluidic oscillators (1)
- Fluorescence detection (1)
- Fluorescent Probes (1)
- Flux leakage testing (1)
- Focal spot measurement (1)
- Food (1)
- Frequency modulation (1)
- G5P GVP (1)
- GC-MS (1)
- GEXRF (1)
- GMR Sensors (1)
- Gas chromatography (1)
- Gauge design (1)
- Gaussian process (1)
- Geometric Phase (1)
- Glyphosate (1)
- Grazing exit (1)
- Guanidine benzoxadiazole (1)
- Guanidinium Receptors (1)
- H2Safety@BAM (1)
- Heat diffusion (1)
- Herculaneum (1)
- Heterogeneous materials (1)
- High entropy alloys (1)
- High entropy materials (1)
- Holz (1)
- Hydrogen (1)
- Hydrolysis (1)
- Hydrolytic resistance (1)
- ICP-MS (1)
- ILC (1)
- ISO 16000-6 (1)
- Iionic liquid (1)
- Image analysis (1)
- Imaging (1)
- Imaging ellipsometry (1)
- Immunoassay (1)
- Ink (1)
- Inspection (1)
- Interlaboratory Comparisons (1)
- Internal defects (1)
- Ir DNA staining approach (1)
- Isotope ratio (1)
- Isotope reference materials (1)
- JNP AdvManuNet (1)
- LC-MS/MS (1)
- LIBS (1)
- Lightweight structures (1)
- Lithium isotope (1)
- LoRaWAN (1)
- Load transfer (1)
- Long term monitoring (1)
- Low-cost (1)
- MALDI-TOF MS (1)
- MALDI-TOF mass spectrometry (1)
- MMC (1)
- MXenes (1)
- Magnetic Beads (1)
- Magnetic Particles (1)
- Magnetic resonance imaging (1)
- Material emissions (1)
- Mechanochemistry (1)
- Medicine (1)
- Metabolites (1)
- Metaproteomics (1)
- Method development (1)
- Microbeads (1)
- Microbiological influenced corrosion MIC (1)
- Microbiomes (1)
- Micromechanical modeling (1)
- Microplastic (1)
- Mikro-CT (1)
- Mikroplastik (1)
- Modular Production (1)
- Molecularly Imprinted Polymers (1)
- Monoclonal Antibodies (1)
- Multiplexing (1)
- Multisensor system (1)
- Mycotoxins (1)
- NAMUR Open Architecture (1)
- NDT (1)
- Nanoparticle (1)
- Nanoparticles (1)
- Nanosensors (1)
- Network (1)
- Neutron Diffraction (1)
- Non destructive testing and evaluation (1)
- Nuclear waste (1)
- OBOC library (1)
- Oberflächenrelaxivität (1)
- Operational Technology (1)
- Optimization (1)
- PCR (1)
- PFOA (1)
- POD (1)
- Papyrus (1)
- Passive sampling (1)
- Peptide library (1)
- Per- and Polyfluoroalkyl substances (PFAS) (1)
- Phased array (1)
- Photocatalysis (1)
- Polyethyleneglycol (1)
- Polymer nanolayers (1)
- Polymorphism (1)
- Porengrößenverteilung (1)
- Process Control (1)
- Proteomics (1)
- QA/QC (1)
- QI Digital (1)
- QI-Digital (1)
- Quality infrastructure (1)
- Qualitätssicherung (1)
- Radiaton damage (1)
- Ratiometric sensors (1)
- Recombinant protein expression (1)
- Reference data (1)
- Reference material (1)
- Reference materials (1)
- Reinforcement learning (1)
- Remote Detection (1)
- Risk assessment (1)
- Roughness (1)
- SPE (1)
- SPM (1)
- Sandsteine (1)
- Sc-ICP-ToF-MS (1)
- Scaffold (1)
- Sensor characterization (1)
- Sensor drift (1)
- Sensor network (1)
- Sensorik (1)
- Sewage sludge (1)
- Silica (1)
- Silica- and polystyrene particles (1)
- Simulation (1)
- Single cell (1)
- Single-stranded DNA-binding protein (1)
- Size exclusion chromatography (1)
- Smart Dust (1)
- Spectroscopic and imaging ellipsometry (1)
- Stalagmites (1)
- Standardization (1)
- Standards (1)
- Super resolution (1)
- Surface analysis (1)
- Surface area control (1)
- Synchrotron (1)
- Synchrotron X-ray Refraction (1)
- Synthetic peptides (1)
- TMB (1)
- TRIS (1)
- Thermal extraction (1)
- Thermoacoustics (1)
- Thermoanalytik (1)
- Thermography (1)
- Thin films (1)
- Titania nanoparticles (1)
- Titanium Carbide Nanosheets (1)
- Transformation products (1)
- Transmission function (1)
- Truffle (1)
- Two photon polymerisation (1)
- UFP (1)
- Ultraschallprüfung (1)
- Ultrasonic (1)
- Ultrasonic testing (1)
- Uncertainties (1)
- Use-Case Wasserstofftankstelle (1)
- VVOCs (1)
- Vehicle Routing (1)
- Wasserstoff (1)
- Water Analysis (1)
- White light interference microscopy (1)
- Whole water samples (1)
- WiFi (1)
- Wide bandgap compound semiconductors (1)
- X-ray (1)
- X-ray diffraction (1)
- X-ray fluorescence (1)
- X-ray photoelectron spectroscopy (1)
- XANES (1)
- XAS (1)
- XPS (1)
- XRF (1)
- ZfP (1)
- Zuverlässigkeit (1)
- discharge (1)
- emission (1)
- glow (1)
- optical (1)
- pH sensing (1)
- spectroscopy (1)
Organisationseinheit der BAM
- 1 Analytische Chemie; Referenzmaterialien (38)
- 8 Zerstörungsfreie Prüfung (27)
- 6 Materialchemie (18)
- 1.8 Umweltanalytik (10)
- 8.5 Röntgenbildgebung (10)
- 6.1 Oberflächen- und Dünnschichtanalyse (9)
- 1.1 Anorganische Spurenanalytik (6)
- 1.2 Biophotonik (6)
- 4 Material und Umwelt (6)
- 6.3 Strukturanalytik (6)
- 1.4 Prozessanalytik (5)
- 1.9 Chemische und optische Sensorik (5)
- 8.0 Abteilungsleitung und andere (5)
- 8.1 Sensorik, mess- und prüftechnische Verfahren (5)
- 8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen (5)
- VP Vizepräsident (5)
- VP.1 eScience (5)
- 6.6 Physik und chemische Analytik der Polymere (4)
- 8.4 Akustische und elektromagnetische Verfahren (4)
- 1.6 Anorganische Referenzmaterialien (3)
- 1.7 Organische Spuren- und Lebensmittelanalytik (3)
- 4.2 Material-Mikrobiom Wechselwirkungen (3)
- 1.5 Proteinanalytik (2)
- 1.3 Instrumentelle Analytik (1)
- 3 Gefahrgutumschließungen; Energiespeicher (1)
- 3.5 Sicherheit von Gasspeichern (1)
- 4.1 Biologische Materialschädigung und Referenzorganismen (1)
- 4.3 Schadstofftransfer und Umwelttechnologien (1)
- 4.5 Kunst- und Kulturgutanalyse (1)
- 8.6 Faseroptische Sensorik (1)
The isotopic analysis of lithium is also relevant to the study of geological phenomena.1 In this work we propose improvements to the method for the isotopic analysis of lithium using a high-resolution continuum source atomic absorption spectrometer (HR-CS-AAS) coupled to a double echelle modular spectrometer (DEMON). 2 This tool for isotopic ratio determination is based on monitoring the isotopic components of lithium by their spin-orbit coupling and its isotopic shift of about 15 pm for the 22P←2 2S electronic transition around 670.788 nm. The data analysis was carried out by using a decision-tree-based ensemble machine learning (ML) algorithm. For the training of the algorithm (XGBoost), a set of samples with 6Li isotope amount fractions ranging from 0.06 to 0.99 mol-1 was used. Subsequently, the procedure was validated of a set of stock chemicals (Li2CO3, LiNO3, LiCl and LiOH) and a BAM candidate reference material, the cathode material LiNi1/3Mn1/3Co1/3O2 (NMC111). Finally, the ML model was applied to the set of geological samples, previously digested, for the determination of their isotope ratio. The optical resolution was improved from 140,000 to 790,000 to better deconvolution the lithium isotopic components in the atomic spectrum. And the method was compared with multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results are metrologically comparable.
Direct laser writing grows to an industry-ready manufacturing platform. A stable quality infrastructure is needed for robust processing. However, flaws, errors or impurities are neither described nor communicated in the community of two-photon polymerization.
In contrast, additive manufacturing errors in metals manufacturing are described thoroughly.
microscopy (AFM), or X-ray reflectometry. For the additional determination of thin film composition, techniques like X-ray photoelectron spectroscopy (XPS) or mass spectrometry-based techniques can be used. An alternative non-destructive technique is electron probe microanalysis (EPMA). This method assumes a sample of homogenous (bulk) chemical composition, so that it cannot be usually applied to thin film samples. However, in combination with the thin film software StrataGEM, the thickness as well as the composition of such films on a substrate can be determined.
This has been demonstrated for FeNi on Si and SiGe on Al2O3 film systems. For both systems five samples with different elemental composition and a reference were produced and characterised by Korean research institute KRISS using inductively coupled plasma mass spectrometry (ICP-MS), Rutherford backscattering (RBS), and transmission electron microscopy (TEM). These samples were used for an international round robin test.
In 2021, a new and open-source thin film evaluation programme called BadgerFilm has been released. It can also be used to determine thin film composition and thickness from intensity ratios of the unknown sample and standards (k-ratios).
In this contribution, we re-evaluated the data acquired for the FeNi and SiGe systems using the BadgerFilm software package and compared the resulting composition and thickness with the results of the established StrataGEM software and other reference methods. With the current evaluation, the BadgerFilm software shows good agreement with the composition and thickness calculated by StrataGEM and as the reference values provided by the KRISS.
MXenes are a new family of two-dimensional (2D) transition metal carbides, carbonitrides, and nitrides discovered in 2011. Among many reported family members, titanium carbide is the most widely studied and explored due to the optimized synthesis conditions and promising characteristics like good mechanical strength, solution processability, and excellent conductivity. Here, we report the development of an electrochemical biosensor involving the amine-functionalized Few-Layered-Titanium Carbide Nanosheets and monoclonal antibodies against the SARS-CoV-2 nucleocapsid protein (anti-SARS-CoV-2 mAb) to design a point-of-care device for detection of the SARS-CoV-2 nucleocapsid protein (SARS-CoV-2 NP) antigen.
Thermographic non-destructive testing is based on the interaction of thermal waves with inhomogeneities. The propagation of thermal waves from the heat source to the inhomogeneity and to the detection surface according to the thermal diffusion equation leads to the fact that two closely spaced defects can be incorrectly detected as one defect in the measured thermogram. In order to break this spatial resolution limit (super resolution), the combination of spatially structured heating and numerical methods of compressed sensing can be used. The improvement of the spatial resolution for defect detection then depends in the classical sense directly on the number of measurements. Current practical implementations of this super resolution detection still suffer from long measurement times, since not only the achievable resolution depends on performing multiple measurements, but due to the use of single spot laser sources or laser arrays with low pixel count, also the scanning process itself is quite slow. With the application of most recent high-power digital micromirror device (DMD) based laser projector technology this issue can now be overcome.
Per- and polyfluoroalkyl substances (PFAS) are a large group of organofluorine surfactants used in the formulations of thousands of consumer goods, including aqueous film-forming foams (AFFF) used to suppress aviation fires in training scenarios, non-stick cookware, fast-food wrappers, water-repellent fabrics, medical equipment, and plastic and leather products. As a result of the perpetual use of PFAS containing products, effluents and sewage sludge from wastewater treatment plants (WWTPs) have been observed to be an important pathway for PFAS into the environment. In Germany, phosphorus and other nutrients from sewage sludge and wastewater should be recycled in WWTPs of cities with a large population. However, it is not clear if PFAS contamination from wastewater and sewage sludge end up in novel wastewater-based fertilizers. Normally, PFAS are analyzed using PFAS protocols typically with time-consuming extraction steps and LC-MS-MS quantification. However, for screening of PFAS contaminations in sewage sludge or wastewater-based fertilizers also passive sampler based on the Diffusive Gradients in Thin-films (DGT) technique can be used for the PFAS extraction. Afterwards, combustion ion chromatography (CIC) can be applied to analyse the “total” amount of PFAS on the passive sampler. Here, we show results from the DGT method in comparison to those of the extractable organic fluorine (EOF) method for a variety of wastewater-based fertilizers. Additionally, we analysed the adsorption of PFAS on the weak anion exchanger (WAX) based DGT passive sampler binding layer by infrared and fluorine K-edge X-ray adsorption near-edge structure (XANES) spectroscopy.
Our aim is to develop a simple and inexpensive method for full field X-ray fluorescence imaging.We combine an energydispersive array detector with a coded aperture to obtain high resolut ion images. To obtain the information from the recorded image a reconstruction step is necessary. The reconstruction methods we have developed, were tested on simulated data and then applied to experimental data. The first tests were carried out at the BAMline @BESSY II. This method enables the simultaneous detection of multiple elements,which is important e.g. in the field of catalysis.
Getting more efficient – The use of Bayesian optimization and Gaussian processes at the BAMline
(2022)
For more than 20 years, BAM is operating the BAMline at the synchrotron BESSY II in Berlin Adlershof. During this time, the complexity of the setup and the amount of data generated have multiplied. To increase the effectiveness and in preparation for BESSY III, algorithms from the field of machine learning are increasingly used.
After a short introduction to BO and GP, the first example is the automatic alignment of our double multilayer monochromator (DMM).
The second example is the optimization of measurement time in XRF scanning.