Filtern
Erscheinungsjahr
Dokumenttyp
- Sonstiges (219) (entfernen)
Sprache
- Englisch (219) (entfernen)
Referierte Publikation
- nein (219) (entfernen)
Schlagworte
- Corrosion (14)
- Nanoparticles (8)
- Archaeometry (7)
- Coating (7)
- Antibodies (6)
- Cultural heritage (5)
- NEXAFS (5)
- Traceability (5)
- FTIR (4)
- Imaging (4)
Organisationseinheit der BAM
- 6 Materialchemie (28)
- 7 Bauwerkssicherheit (27)
- 7.6 Korrosion und Korrosionsschutz (25)
- 1 Analytische Chemie; Referenzmaterialien (21)
- 6.1 Oberflächen- und Dünnschichtanalyse (16)
- 1.5 Proteinanalytik (13)
- 6.6 Physik und chemische Analytik der Polymere (8)
- 8 Zerstörungsfreie Prüfung (8)
- 4 Material und Umwelt (7)
- 4.2 Material-Mikrobiom Wechselwirkungen (4)
A thousand times thinner than a human hair, nanoparticles (NPs) are finding applications in a range of modern products. However, as some can affect human health or the environment, knowing the types present is essential. Electron microscopy is the ‘gold standard’ for NP analysis, allowing identification based on manual size analysis, but a new method was required to analyse these particles quickly, accurately and in a consistent way.
We introduce a novel adaptive Gaussian Process Regression (GPR) methodology for efficient construction of surrogate models for Bayesian inverse problems with expensive forward model evaluations. An adaptive design strategy focuses on optimizing both the positioning and simulation accuracy of training data in order to reduce the computational cost of simulating training data without compromising the fidelity of the posterior distributions of parameters. The method interleaves a goal-oriented active learning algorithm selecting evaluation points and tolerances based on the expected impact on the Kullback-Leibler divergence of surrogated and true posterior with a Markov Chain Monte Carlo sampling of the posterior. The performance benefit of the adaptive approach is demonstrated for two simple test problems.
The impact of magnetism on chemical ordering in face-centered cubic CrCoNi medium entropy alloy is studied by a combination of ab initio simulations, machine learning potentials, and Monte Carlo simulations. Large magnetic energies are revealed for some mixed L12 /L10 type ordered configurations, which are rooted in strong nearest-neighbor magnetic exchange interactions and chemical bonding among the constituent elements. There is a delicate interplay between magnetism and stability of MoPt2 and L12 /L10 type of ordering which may explain opposing experimental and theoretical findings.
Homochirality is an obvious feature of life on Earth. On the other hand, extraterrestrial samples contain largely racemic compounds. The same is true for any common organic synthesis. Therefore, it has been a perplexing puzzle for decades how these racemates could have formed enantiomerically enriched fractions as a basis for the origin of homochiral life forms. Numerous hypotheses have been put forward as to how preferentially homochiral molecules could have formed and accumulated on Earth. In this article, it is shown that homochirality of the abiotic organic pool at the time of formation of the first self-replicating molecules is not necessary and not even probable. It is proposed to abandon the notion of a molecular ensemble and to focus on the level of individual molecules. Although the formation of the first self-replicating, most likely homochiral molecule is a seemingly improbable event, on a closer look, it is almost inevitable that homochiral molecules have formed simply on a statistical basis. In this case, the non-selective leap to homochirality would be one of the first steps in chemical evolution directly out of a racemic “ocean”. Moreover, most studies focus on the chirality of the primordial monomers with respect to an asymmetric carbon atom. However, any polymer with a minimal size that allows folding to a secondary structure, would spontaneously lead to asymmetric higher structures (conformations). Most of the functions of these polymers would be influenced by this inherently asymmetric folding. To summarize, simple and universal mechanisms may have led to homochiral self-replicating systems in the context of chemical evolution. A homochiral monomer pool is deemed unnecessary and probably never existed on primordial Earth.
Nanoparticles (NPs) are tiny – around 1 to 100 billionths of a meter – and can have different chemistries and behaviours than the same material of larger size. This property has led to advances in a wide range of industries, but it can also confer toxicity. Size measurements are the main way NPs are identified but a lack of standardised methods for identifying ones with complex shapes has hindered evaluation of their potential harm.
Bio-electrochemical CO2 conversion into organic products using precious-metal free electrocatalysts
(2024)
For the realization of a sustainable economy, it is of great importance to make use of CO2 for the production of multi-carbon organic chemicals used as feedstock in the chemical industry as well as carbon-neutral fuels (Varela et al. 2019). A promising approach is the electrochemical CO2 reduction followed by microbial conversion of the reduced products.
This document constitutes the Strategic Research Agenda (SRA) for the European Metrology Network for Mathematics and Statistics in Metrology (EMN Mathmet). The EMN Mathmet is an alliance of European National Metrology Institutes (NMIs), Designated Institutes (DIs) and an EMN Partner that aims to strengthen research and cooperation in the field. The SRA has been developed within a European project (EMPIR 18NET05 MATHMET) to promote and support the network. The SRA was developed based on a consultation process with stakeholders and the strategies of individual NMIs and DIs, and in alignment with the EURAMET 2030 strategy.
As a key result, the SRA defines a long-term research goal: the EMN Mathmet will coordinate research to strengthen the trust in algorithms, software tools and data to underpin digital transformation. For this purpose, new emerging research topics where algorithms, software tools and data play a significant role were identified: (i) Artificial Intelligence and Machine Learning, and (ii) Computational Modelling and Virtual Metrology. The foundation for the development of these new topics is given by the traditional focus on (iii) Data Analysis and Uncertainty Evaluation. The SRA characterises the future needs and challenges in the field of mathematics and statistics in metrology and provides an outline of how the EMN Mathmet can meet these new emerging requirements.
Harmonized and interoperable national Quality Infrastructure (QI) systems are essential for fostering cooperation, promoting mutual trust, and facilitating trade. The true potential of the QI is realized when its elements and actors are seamlessly integrated into a cohesive digital QI ecosystem. Recent developments towards industrial international data spaces enable such an ecosystem but require the integration of QI principles. Recognizing the lack of such a platform, Quality-X aims at setting the stage for the implementation of a QI ecosystem in international data spaces (IDS), GAIA-X and related German and European projects dedicated to secure data sharing. Quality-X is not about the construction of a platform; it is the creation of an inclusive QI ecosystem with harmonized interfaces. Instead of imposing rigid data structures, it prioritizes interoperability. Through the utilization of Decentralized Identifiers (DIDs), Verifiable Credentials, and Identity Hubs, Quality-X seeks seamless interactions across diverse service provider systems.
This white paper introduces the concept and vision of Quality-X and discusses the general prerequisites for integrating QI processes within data spaces. Further on, we introduce existing testbeds, which will serve as an experimental proving ground for exploring various use cases related to the implementation of the vision of a QI-Digital.
+++
Harmonisierte und interoperable nationale Qualitätsinfrastrukturen (QI) sind für die Förderung der Zusammenarbeit, des gegenseitigen Vertrauens und der Erleichterung des Handels unerlässlich. Das wahre Potenzial der QI kommt zum Tragen, wenn ihre Elemente und Akteure nahtlos in ein kohärentes digitales QI-Ökosystem integriert werden. Die jüngsten Entwicklungen hin zu industriellen internationalen Datenräumen ermöglichen ein solches Ökosystem, erfordern jedoch die Integration von QI-Prinzipien. Angesichts des Fehlens einer solchen Plattform zielt Quality-X darauf ab, die Voraussetzungen für die Umsetzung eines QI-Ökosystems in internationalen Datenräumen (IDS), GAIA-X und verwandten deutschen und europäischen Projekten zum sicheren Datenaustausch zu schaffen. Bei Quality-X geht es nicht um den Aufbau einer Plattform, sondern um die Schaffung eines umfassenden QI-Ökosystems mit harmonisierten Schnittstellen. Anstatt starre Datenstrukturen aufzuerlegen, steht die Interoperabilität im Vordergrund. Durch die Verwendung von dezentralen Identifikatoren (DIDs), überprüfbaren Berechtigungsnachweisen und Identitäts-Hubs strebt Quality-X eine nahtlose Interaktion zwischen verschiedenen Systemen von Dienstleistern an.
Dieses Whitepaper stellt das Konzept und die Vision von Quality-X vor und erörtert die allgemeinen Voraussetzungen für die Integration von QI-Prozessen in Datenräumen. Darüber hinaus stellen wir bestehende Testbeds vor, die als experimentelles Versuchsfeld für die Erforschung verschiedener Anwendungsfälle im Zusammenhang mit der Umsetzung der Vision einer QI-Digital dienen sollen.
Liaison activities within ISO/TC 202 'Microbeam Analysis' which are relevant to ISO/TC 229 'Nanotechnologies' are reported acoording to the structure defined by ISO/TC229 Nanotechnologies Liaisons Coordination Group (NLCG): new standards/documents, coordination issues, and further detailed specific information, e.g. publications, events, comments.
The processes of hydrogen reduction of silicon and germanium chlorides under the conditions of radio-frequency (40.68 MHz) counteracted arc discharge stabilized between two rod electrodes were investigated. The main gas-phase and solid products of plasma-chemical transformations were determined.
Thermodynamic analysis of SiCl4 + H2 and GeCl4 + H2 systems was carried out. It is shown that under the implemented experimental conditions, equilibrium components of the products are established. The detected spectra of chemical activity were studied, which gave reason to assume that the molecular mechanism of the hydrogen reduction process is the main one. The impurity composition of gas-phase and solid reaction products was investigated. The possibility of single-stage production of high-purity Si and Ge mainly in the form of compact ingots, as well as high-purity chlorosilanes and trichlorogermane, was shown.
DICONDE (Digital Imaging and Communication in Non-Destructive Testing) is an open international standard for storing and exchanging industrial test data and process-related information. The DICONDE standard defines both the semantics for structured storage of data and the network-based communication between two endpoints. This allows many test processes to be mapped digitally and securely, while at the same time meeting normative requirements such as traceability to the tester and test object and reproducibility of test results.
We demonstrate the determination of anharmonic acoustic phonon properties via second-order Raman scattering exemplarily on copper iodide single crystals. The origin of multi-phonon features from the second-order Raman spectra was assigned by the support of the calculated 2-phonon density of states. In this way, the temperature dependence of acoustic phonons was determined down to 10\,K. To determine independently the harmonic contributions of respective acoustic phonons, density functional theory (DFT) in quasi-harmonic approximation was used. Finally, the anharmonic contributions were determined. The results are in agreement with earlier publications and extend CuI's determined acoustic phonon properties to lower temperatures with higher accuracy. This approach demonstrates that it is possible to characterize the acoustic anharmonicities via Raman scattering down to zero-temperature renormalization constants of at least 0.1cm−1.
The outbreak of SARS-CoV-2 in December of 2019, led to a worldwide still on-going pandemic. Since then, several so-called waves of SARS-CoV-2 infections, a time period with a high and fast rising number of new infections, have occurred all over the world. Classic surveillance approaches are hardly applicable, and further, non-detected cases cannot be covered by them. Wastewater-based Epidemiology (WBE) was proven to be a reliable tool for the prediction of new SARS-CoV-2 infection waves, due to the discharge of virus particles in fecal shedding of infectious people. Until now, for the monitoring of SARS-CoV-2 in wastewater, Polymerase Chain Reaction (PCR) is used as analytical tool. Even though PCR is a highly sensitive analytical tool, is presents several disadvantages, such as the need for trained personnel, specific technical equipment, as well as a difficult performance. An analytical tool, to which these disadvantaged do not apply, are immunoassays. In this work, a sandwich Enzyme-Linked Immunosorbent Assay (ELISA), with the immobilization of the capture antibodies on the surface of a Microtiter Plate (MTP), as well as a sandwich Magnetic Bead-Based Assay (MBBA), with immobilization of the capture antibodies on the surface of Magnetic Beads (MBs), targeting the SARS-CoV-2 N-protein, were developed and optimized. Both assay formats were performed with a colorimetric and chemiluminescent detection. The developed assay is composed of the two monoclonal antibodies (mAb) AH2 and DE6 - which was biotinylated in the course of the work - which bind to two different epitops of the antigen N-protein. As tracer, Neutravidin-HRP was used, which binds, through interaction of the Neutravidin with the biotin, to the mAb DE6-Biotin. The assay development and optimization procedure included the investigation of the surface saturation with the mAb AH2, the concentration and dilution of the mAb DE6-Biotin and Neutravidin-HRP, the ideal MBs, the ideal coating as well as dilution buffers, and the colorimetric and chemiluminescent substrates. For the developed and fully optimized colorimetric ELISA, a test midpoint x0 of 388 μg/L, for the chemiluminsecent ELISA of 371 μg/L, for the colorimetric MBBA of 251 μg/L and for the chemiluminescent MBBA of 243 μg/L was obtained. Validation of the colorimetric MBBA was done by measurement of three wastewater samples collected at the Wastewater Treatment Plant (WWTP) Potsdam. Whilst no N-protein could be detected in the samples, by spiking of the wastewater samples with certain concentrations of the N-protein, 10- to 18-times lower concentrations could be back-calculated, which can be attributed to matrix-effects of the wastewater sample. Next to the matrix-effects, also several other reason exist, why no N-protein could be determined in the samples. Because of that, further investigation of the handling, and the measurement of the wastewater samples, as well as the improvement of the assay sensitivity through further optimization steps or exchange of the antibodies, is still necessary.
Virus-like particles are of great interest. Due to the lack of functional amino acids, they are non-infectious and are widely investigated for their usage in the biomedical field, such as nanomaterials, vaccines, drug delivery.
This thesis is about the engineering of virus-like particles, which are formed by self-assembly of LRV1 capsid proteins. Basis was a publication by Procházková et al. (2021), where the structure of virus-like particles, derived from recombinant LRV1 capsid proteins, was determined using cryo-electron microscopy.
Goal of my work was to investigate, whether it is possible to modify the surface of LRV1 virus-like particles by protein engineering. Next to an LRV1 capsid protein with a C-termini polyhistidine-tag like in the publication, a genetically modified LRV1 capsid protein with an internal polyhistidine-tag was supposed to be expressed. It was supposed to be analyzed, whether it still comes to a self-assembly of the capsid proteins.
The genetical constructs were generated by PCR based on a complementary LRV1 DNA, cloned into an expression vector, and using Sanger sequencing it was shown that the amino acid sequences were like expected. For the recombinant expression different E. coli (BL21 STAR (DE3), BL21 (DE3) pLysS, BL21 STAR (DE3) pRARE3 and T7 express lysY/Iq) strains were used, as well as different expression conditions tested by varying temperature, medium, isopropyl-ß-D-thiogalactoside oncentration, and induction duration. Best results were obtained expressing in T7 express lysY/Iq for 5 hours in Terrific Broth medium at 16 °C and 3 mM Isopropyl ß-D-1thiogalactopyranoside. After that, the recombinant proteins were purified under native conditions by their polyhistidine-tags using nickel affinity chromatography. Overall, a higher yield was obtained for the capsid protein with the C-termini polyhistidine-tag during expression, which was also visible in all following experiments. The expression of both constructs in E. coli was comparably low. Still, it was possible to validate for virus-like particles for both proteins using transmission electron microscopy. Thus, it was demonstrated for the first time that surface-modified LRV1 capsid proteins are able to assemble into virus-like particles. For further experiments and higher yield of soluble LRV1 capsid proteins for virus-like particle production, a different expression system should be used: Therefore, the LEXSY expression system should be optimal, it bases on Leishmania tarenolae, a natural LRV1 host system.
A Round Robin study has been carried out to estimate the impact of the human element in small-angle scattering data analysis. Four corrected datasets were provided to participants ready for analysis. All datasets were measured on samples containing spherical scatterers, with two datasets in dilute dispersions, and two from powders.
Most of the 46 participants correctly identified the number of populations in the dilute dispersions, with half of the population mean entries within 1.5 % and half of the population width entries within 40 %, respectively. Due to the added complexity of the structure factor, much fewer people submitted answers on the powder datasets.
For those that did, half of the entries for the means and widths were within 44 % and 86 % respectively. This Round Robin experiment highlights several causes for the discrepancies, for which solutions are proposed.
Continuing progress in the field of X-ray scattering methods empowers scientists with new possibilities to capture the most important piece of information about the structure of the sample - its 3D electron density.
Although the first methods appeared almost a century ago, recovering the density structure of a sample is still very problematic. Most avail-able imaging techniques transform a 3D electron density of a realspace structure into the 2D Fourier Transform of the intensity of scattered waves in the reciprocal space. This process causes a loss of information.
Firstly, instead of a 3D sample, a 2D image is created, and secondly, the phase information of the scattered waves is lost. The latter is known as the ”phase problem” and poses a serious obstacle on a way to recover a 3D electron density. In this work, we draw attention to the problem of forward and inverse Small Angle X-Ray Scattering. In the first, forward, part, we rethink the existing pipelines to computationally simulate such scattering experiments. Although there are efficient implementations of fast Fourier transformation, they often have some drawbacks. For instance, to calculate a 3D fast Fourier transform it is required to place its density in the RAM. For high-resolution structures of size > 1024 3 , this becomes very problematic, as the whole density structure requires more than 16 GB of memory.
CUDA solution allows for a very fast and parallelizable implementation of high-resolution data on hundreds of last-generation machines.
Such computations are very pricy and inaccessible for most scientists.
To bypass this limitation, we propose a solution for a split-up 3D fast Fourier transform, which is implemented as a sequence of 2D and 1D operations. We compare our implementation on the simulated 3D shapes and show the result of a proof-of-concept on 4096 3 Metallorganic framework density structure. In the second, inverse problem, we train an invertible neural network, that given scattering data can predict the shape and its parameters. The architecture is built such, that the inverse problem is learned together with the forward process - the Fourier Transformation. We achieved very good results with this architecture, nonetheless, further testing is required, as the current training set only encompasses three simple shapes: sphere, hard sphere and cylinder.
All code to reproduce and analyze the results is available at https: //github.com/sofyalaski/SAXS-simulations.
The liaison report from the ISO Technical Committee ISO/TC 202 'Microbeam Analysis' for the November 2022 ISO/TC 229 Nanotechnologies Plenary Meeting Nanotechnologies Liaison Coordination Group (NLCG) is provided. Essential Information such as newly published standards and projects in develeopment relevant for ISO/TC 229 resulted from the progress within the last year and additional comments on behalf of ISO/TC 202 are included in the report.
Quantitative 1H Nuclear Magnetic Resonance (qNMR) of Aromatic Amino Acids for Protein Quantification
(2022)
qNMR is a valuable technique for metrological studies due to the uniformity of its signal response for all chemical species of an isotope of interest, which enables compound-independent calibration. However, protein quantification remained challenging as large molecules produce wide, low-intensity signals that reduce the already low sensitivity. Combining qNMR with the hydrolysis of protein samples into amino acids circumvents many of these issues and facilitates the use of NMR spectroscopy for absolute protein and peptide quantification.In this work, different conditions have been tested for quantifying aromatic amino acids and proteins. First, we examined the pH-based signal shifts in the aromatic region. The preferable pH depends on the selection of the amino acids for quantification and which internal standard substance should be used to avoid peak overlap. Several aromatic compounds, such as terephthalic acid, sulfoisophthalic acid, and benzene tricarboxylic acid, have been applied as internal standards. The quantification of amino acids from an amino acid standard, as well as from a certified reference material (bovine serum albumin), was performed. Using the first two suggested internal standards, recovery was ~ 97 % for histidine, phenylalanine, and tyrosine at a concentration of approximately 1 mM in solution. Acidic hydrolysis of a certified reference material (CRM) of bovine serum albumin (BSA) and subsequent quantification of Phe and Tyr yielded recoveries of 98 ± 2 and 88 ± 4 %, respectively, at a protein concentration of 16 g/L or 250 µM.
This guideline was drafted following and complementing the norm ISO 22232-2:2020(E) to include air-coupled ultrasonic transducers. This document specifies the characteristics of probes used for non-destructive air-coupled ultrasonic testing with center frequencies above 20 kHz, with focusing or without focusing means.
Efforts are rising in opening up science by making data more transparent and more easily available, including the data reduction and evaluation procedures and code. A strong foundation for this is the F.A.I.R. principle, building on Findability, Accessibility, Interoperability, and Reuse of digital assets, complemented by the letter T for trustworthyness of the data. Here, we have used data, which was made available by the Institute Laue-Langevin and can be identified using a DOI, to follow the F.A.I.R.+T. principle in extracting, evaluating and publishing triple axis data, recorded at IN3.
With Direct Laser Writing (DLW) maturing in all aspects as a manufacturing technology a toolset for quality assurance must be developed. In this work we want to introduce a first of its kind test artifact. Test artifacts are standardized 3D models with specific geometric feature to evaluate the performance of writing parameters. Test artifacts are already common in other 3D additive manufacturing technologies e.g. Selective Laser Melting. The test artifact introduced in this work was developed in particular to accommodate 1) the high geometrical resolution of DLW structures and 2) the limited possibilities to examine the resulting structure. Geometric accuracy, surface adhesion as well as confocal raman spectroscopy results were considered when evaluating the design of the test artifact. We will explain the individual features and design considerations of our DLW test artifact. The difference between two slicers, Cura and 3DPoli, and the implications on measured feature sizes and the general shape is quantified. The measured geometries are used to derive a general design guide for a specific combination of photoresist, laser power and scanning speed and to analyse the geometric accuracy of a structure produced using these guidelines.
Nonporous corundum powder, known as an abrasive material in the industry, was functionalized covalently with protein binders to isolate and enrich specific proteins from complex matrices. The materials based on corundum were characterized by TEM, ESEM, BET, DLS, and zeta potential measurements. The strong Al-O-P bonds between the corundum surface and amino phosphonic acids are used to introduce functional groups for further conjugations. The common cross-linker glutaraldehyde was compared with a hyperbranched polyglycerol (PG) of around 10 kDa. The latter is oxidized with periodate to generate aldehyde groups that can covalently react with the amines of the surface and the amino groups from the protein via a reductive amination process. The amount of bound protein was quantified via aromatic amino acid analysis (AAAA). This work shows that oxidized polyglycerol can be used as an alternative to glutaraldehyde. With polyglycerol, more of the model protein bovine serum albumin (BSA) could be attached to the surface under the same conditions, and lower nonspecific binding (NSB) was observed. As a proof of concept, IgG was extracted with protein A from crude human plasma. The purity of the product was examined by SDS-PAGE. A binding capacity of 1.8 mg IgG per g of corundum powder was achieved. The advantages of corundum are the very low price, extremely high physical and chemical stability, pressure resistance, favorable binding kinetics, and flexible application.
In 2020, the European Commission has announced to propose a Sustainable Product Policy for the EU which shall ensure that the performance of front-runners in sustainability progressively becomes the norm. In addition, the European Commission has re-emphasised the necessity to significantly improve the effectiveness of the current Ecodesign framework for energy-related products.
With this paper, we present an initial outline of a policy approach which we call the “EU frontrunner approach”. The approach aims at installing a regulatory framework which enables a semi-automated, progressive adaptation of ecodesign minimum requirements for products. It builds on performance levels of the best products available on the market by aggregating information in a database.
The “front-runner approach” could first be applied to progressively adapt product-related minimum energy-efficiency requirements. This way it would serve as a starting point to introduce this conceptto the EU policy arena.
While the approach can be applied for energy efficiency, it is neither limited to energy-related products nor to energy-related requirements. It can be applied to the wide range of nonenergy related products within the scope of the upcoming Ecodesign for Sustainable Products Regulation (ESPR) as well as to non-energy-related requirements, such as minimum requirements for durability, reparability, recyclability and recycled content.
Exposure sites and outdoor exposure have always been a part of atmospheric corrosion research providing the “final answer”, although at the cost of long exposure times. Individual exposure programs such as ISOCORRAG, MICAT and ICP Materials have resulted in collaborative networks of exposure sites. So far, however, there has been no collective effort to put together currently active sites in a comprehensive manner and across programs and nations. The information collected in the catalogue is possible thanks to the work of all individual site managers listed as contact persons, efforts of members of Working Party 25 (WP25) Atmospheric Corrosion of the European Federation of Corrosion (EFC) and financial support of the EFC. With this Catalogue you can both get a general overview of what is available and be guided if you are looking for a particular environment with certain characteristics.
The OECD Working Party on Manufactured Nanomaterials (WPMN) has actively worked towards understanding possible safety issues for manufactured nanomaterials and has contributed significantly to resolving these by developing Test Guidelines, Guidance Documents, Test Reports and other publications with the aim of a safe use of manufactured nanomaterials. To address the specific needs of manufactured nanomaterials, the OECD Test Guideline No. 110 “Particle Size Distribution/Fibre Length and Diameter Distributions” was identified as one of the test guidelines (TGs) to require an update. The current TG 110 (adopted in 1981) is only valid for particles and fibres with sizes above 250 nm. The WPMN prioritised to either update TG 110 to be applicable also to particles at the nanoscale or draft a new nanomaterial specific (TG).
Eventually, it was decided to develop a new TG that covers the size range from 1 nm to 1000 nm, intended for particle size and particle size distribution measurements of nanomaterials. Paragraph 11 provides further justification on the need for such measurements for nanomaterials. This TG overlaps with TG 110 in the size range from 250 nm to 1000 nm. When measuring particulate or fibrous materials, the appropriate TG should be selected depending on the size range of particles tested. In line with TG 110, the new TG for nanomaterials includes separate parts for particles and fibres.
For the part of this TG which addresses particles, several methods applicable to nanomaterials were reviewed and included to take into account developments since 1981 when the TG 110 was adopted. This TG includes the following methods: Atomic Force Microscopy (AFM), Centrifugal Liquid Sedimentation (CLS)/Analytical Ultracentrifugation (AUC), Dynamic Light Scattering (DLS), Differential Mobility Analysis System (DMAS), (Nano)Particle Tracking Analysis (PTA/NTA), Small Angle X-Ray Scattering (SAXS), Scanning Electron Microscopy (SEM), and Transmission Electron Microscopy (TEM). The method Single Particle Inductively Coupled Plasma Mass Spectrometry (sp-ICP-MS) could not be sufficiently validated within the interlaboratory comparison (ILC) carried out for the different methods in this TG (see also paragraph 6 for further details on the ILC). Applicability of sp-ICP-MS is strongly limited to nanomaterials with high mass values in combination with a sufficiently high particle size. However, the general method ICP-MS is widely used and the sp-mode for the size measurement of specific nanomaterials was successfully performed in ILCs elsewhere. The method is therefore included in the Appendix Part C of this TG, which further details the limitations of sp-ICP-MS.
For measuring the diameter and length of fibres, analysing images captured with electron microscopy is currently the only method available. This TG includes Scanning Electron Microscopy (SEM) and Transmission Electron Microscopy (TEM).
To test the validity of this TG, an ILC was performed. Test materials were chosen to reflect a broad range of nanomaterial classes, e.g. metals, metal oxides, polymers and carbon materials. Where possible, well-characterised test materials were used.
Additionally, the test materials were chosen to reflect a broad range of sizes representing the size range 1 nm to 1000 nm. Specifically for fibres, a broad range of aspect ratios was included (length/diameter of 3 to > 50). Some of the test materials used are commercially available and further references are given in the validation report of the ILC. Sample preparation for physical chemical characterisation is critical for all listed methods. Due to the differences between individual nanomaterials and due to the wide range of individual material properties it is impossible to have a generic protocol to obtain the best possible sample preparation for every nanomaterial. Therefore, a generic protocol on sample preparation is not part of this TG. Information on sample preparation is given in the paragraphs 25-29, 33, 34 and 39 for particles and in paragraphs 159) for fibres. Further information on sample preparation of nanomaterials for physical chemical characterisation can be found in the OECD Guidance on Sample Preparation and Dosimetry for the Safety Testing of Manufactured Nanomaterials and elsewhere.
In this thesis a protocol based on a direct competitive and non-competitive immunoassay using the microarray format was developed to screen emulated hybridoma supernatants against the drug carbamazepine (CBZ). As support, epoxy slides were manufactured by coating microscope glass slides with epoxy silanes. The manufactured epoxy slides showed similar capacity for protein immobilization as commercially available NEXTERION slides, but showed a higher autofluorescence background. On the epoxy slides, protein A, Cys-A, G and Cys-G were immobilized as antibody capturing coating. It could be shown that the Cys-tag considerably increased the immobilization of all compared proteins, especially of protein G. Protein Cys-G immobilized at pH 8-9 was considered the most suitable protein for antibody immobilization due to good spot uniformity and a high binding capacity for IgG. Additionally, in immobilization experiments it could be shown, that 10-500 fold excess of bovine IgG, introduced by two different fetal bovine serum (FBS) products, showed no significant competition on the immobilization of mice or goat IgG on protein Cys-G. To examine the captured antibodies for affinity to CBZ, the CBZ-TOTA-DY654 tracer was custom synthesized. It could be demonstrated, that the tracer antibody interaction was competitive with the tracer precursor, CBZ-TOTA-NH2 and CBZ. Furthermore, the synthesized tracer was also successfully used by externals to evaluate CBZ affine hybriodoma cells in flow cytometry. In the simulated screening, five antibodies with known affinity to CBZ were diluted in a cell culture medium. The screening method allowed to differentiate between affine antibodies (IC50 < 20 µg/ml) and unaffine antibodies (IC50 > 20 µg/ml), when concentrations of 0.1 µg/ml IgG or greater have been used. Of five applied antibodies, all highly affine clones (CE2 and B3212M) were reported as positives while no false-positive samples were observed. The screening included competitive, with around 89500 fold excess of CBZ, and non-competitive tracer incubation on different segments of the same chip, which resulted in total signal suppression on the competitive segment. The screening was performed in 20 hours, only a few nanoliters, of each simulated supernatant, were consumed in the screening process, furthermore in the method standard 96 well MTPs were used and no cleanroom facilities were required.
The aim of this work was the preparation of a novel stationary monolithic phase for affinity chromatography and HPLC-applications. Therefore, we have chosen porous glass filters that are available with different pore sizes as raw materials to prepare monolithic columns. We purchased VitraPOR 4 (10-16 μm pore size) and VitraPOR 5 (1.0-1.6 μm pore size) monolithic glass filters. The physical properties of these glass filters were characterized. The surface area, pore size distribution and the porosity were determined using mercury intrusion porosimetry and BET. These glass filters only exhibit flow through pores and therefore show no bimodal pore size distribution in the mercury intrusion curves. Due to their low permeability, the applied filters that exhibit an inner diameter of 8.0 mm and a length of 15.0±0.1 mm could be operated at flow rates more than 10 ml/min. High flow rates are favorable for fast separation experiments.
Protein immobilization for the functionalization of particles is used in various applications, including biosensors, lateral-flow immunoassays (LFIA), bead-based assays, and others. Common methods for the quantification of bound protein are measuring protein in the supernatant before and after coating and calculating the difference. This popular approach has the potential for a significant overestimation of the amount of immobilized protein since layers not directly bound to the surface (soft protein corona) are usually lost during washing and handling. Only the layer directly bound to the surface (hard corona) can be used in subsequent assays. A simplified amino acid analysis method based on acidic hydrolysis and RP-HPLC-FLD of tyrosine and phenylalanine (aromatic amino acid analysis, AAAA) is proposed to directly quantify protein bound to the surface of gold nano- and latex microparticles. The results are compared with indirect methods such as colorimetric protein assays, such as Bradford, bicinchoninic acid (BCA), as well as AAAA of the supernatant. For both particle types, these indirect quantification techniques show a protein overestimation of up to 1700% compared to the direct AAAA measurements. In addition, protein coating on latex particles was performed both passively through adsorption and covalently through EDC/sulfo-NHS chemistry. Our results showed no difference between the immobilization methodologies. This finding suggests that usual protein determination methods are no unambiguous proof of a covalent conjugation on particles or beads.
MALDI-TOF-MS-based identification of monoclonal murine anti-SARS-CoV-2 antibodies within one hour
(2022)
During the SARS-CoV-2 pandemic, many virus-binding monoclonal antibodies have been developed for clinical and diagnostic purposes. This underlines the importance of antibodies as universal bioanalytical reagents. However, little attention is given to the reproducibility crisis that scientific studies are still facing to date. In a recent study, not even half of all research antibodies mentioned in publications could be identified at all. This should spark more efforts in the search for practical solutions for the traceability of antibodies. For this purpose, we used thirty-five monoclonal antibodies against SARS-CoV-2 to demonstrate how sequence-independent antibody identification can be achieved by simple means applied onto the protein. First, we examined the intact and light chain masses of the antibodies relative to the reference material NIST-mAb 8671. Already half of the antibodies could be identified based solely on these two parameters. In addition, we developed two complementary peptide mass fingerprinting methods with MALDI-TOF-MS that can be performed in 45 minutes and had a combined sequence coverage of over 80%. One method is based on the partial acidic hydrolysis of the protein by 5 mM of sulfuric acid at 99 °C. Furthermore, we established a fast way for a tryptic digest without an alkylation step. We were able to show that the distinction of clones is possible simply by a brief visual comparison of the mass spectra. In this work, two clones originating from the same immunization gave the same fingerprints. Later, a hybridoma sequencing confirmed the sequence identity of these sister clones. In order to automate the spectral comparison for larger libraries of antibodies, we developed the online software ABID 2.0 (https://gets.shinyapps.io/ABID/). This open-source software determines the number of matching peptides in the fingerprint spectra. We propose that publications and other documents critically relying on monoclonal antibodies with unknown amino acid sequences should include at least one antibody fingerprint. By fingerprinting an antibody in question, its identity can be confirmed by comparison with a library spectrum at any time and context.
Development of an affinity-based method for the site-selective synthesis of antibody-drug-conjugates
(2021)
For the site-selective synthesis of ADCs, a variety of obstacles must be overcome. Those include designing bifunctional affinity peptides with reasonably low 𝐾𝑑-values that couple to the mAb in a site-selective manner. These peptides should also include a functional group that links the payload to the mAb under mild conditions without adversely affecting it. The bioconjugation between peptide and antibody and the linker between peptide and payload must be stable and durable to provide safety when used for medical purposes. The usage of metals and organic solvents should be minimized. Within the project, new types of functionalized affinity peptides were designed, and their affinity towards the Fc-fragment was determined.
Many studies have already shown that viruses can spread via aerosol particles. An aerosol is a mixture of air with solid or liquid particles dispersed in it. To understand the role of aerosol particles as a transmission path of SARS-CoV-2, knowledge of the different processes in an Aerosol is therefore of particular importance. With this paper, GAeF would like to contribute to a better understanding of the term “aerosol” and the relevant aerosol processes. In the context of this paper only the essential basics will be discussed. For a deeper understanding of the partly complex processes, please refer to the literature mentioned at the end of the paper.
The paper summarises a large number of studies on the formation of virus-laden aerosol particles and their spread. Based on this, it can be concluded that exhaled aerosol particles may play a prominent role in the spread of viruses in the corona pandemic. Finally, this paper discusses possible measures to reduce the spread of aerosol particles. The measures discussed are based on the current public debate including ventilation, air purifiers, HVAC systems and masks. Advice is given on the correct and sensible use of these measures.
An aerosol is always dynamic, as particles are newly formed, transported in or with the air, removed from the air or change in the airborne state. Aerosol particles have sizes between approx. 0.001 and several 100 micrometres (and not < 5 μm as currently defined in many publications) and spread relatively quickly with air currents, even over longer distances. Larger aerosol particles sink to the ground, depending on their size and density, while small aerosol particles can remain in the air for a very long time (see Section 3). Every person emits liquid aerosol particles of various sizes through breathing and when speaking, coughing and sneezing (see Section 4). If a person is infected with a virus, such as SARS-CoV-2, these aerosol particles can contain viruses that can be released into the air and inhaled by other people. SARS-CoV-2 has a size of 0.06 to 0.14 micrometres, but the exhaled liquid aerosol particles are larger. The liquid aerosol particles can shrink by evaporation, depending on the ambient conditions (see Section 3.3). Particle size is relevant for particle transport and particle separation. The highest risk of infection exists in closed indoor spaces, as aerosol particles can accumulate there.
Here in particular, appropriate measures must be taken to reduce the concentration of aerosol particles (see Section 5).
Against the background of aerosol science, the GAeF classifies the current measures to contain the pandemic as follows:
• In principle, no measure can work on its own! According to the current state of knowledge, the interaction of the most varied measures is the best way to minimise the risk of infection.
• Keeping distance is important, because with increasing distance, directly exhaled viruses are diluted and the probability of infection decreases. The often prescribed minimum distance can be used as a guide, but it should be increased and supplemented by other measures (see below), especially for longer meetings and also indoors with reduced air movement.
• Masks help to filter some of the exhaled particles (and viruses). This reduces the concentration of exhaled particles (and viruses) in a room and thus the risk of infection. It should be noted here that the exhaled aerosol particles are relatively large due to adhering moisture and can therefore also be efficiently retained by simple masks. However, since these particles shrink with longer dwell time in the room air, simple mouth-nose masks are less efficient for self-protection. Respiratory masks are required for this purpose, which show a high degree of separation even for fine particles, e.g. of classes FFP2, N95 or KN95. These are efficient for both self-protection and protection of others unless they have an exhalation valve. Masks with an exhalation valve, on the other hand, are only for self-protection and therefore contradict the solidarity concept that fellow human beings are protected by collective mask wearing. Face shields which are used without additional masks are largely useless with regard t• aerosol particles, as the air with particles (and viruses) flows unfiltered around the shields. In everyday clinical practice, facial shields are worn in addition to masks to prevent droplet infection via the mucous membranes of the eyes. Mobile or permanently installed Plexiglas barriers are also largely ineffective against the spread of aerosols indoors. These can only prevent the smallscale spread of an aerosol in the short term, e.g. in the checkout area of a supermarket, but offer no protection in the longer term. Face shields and Plexiglas panels essentially serve as spit and splash protection against large droplets.
• Outdoors, there are practically no infections caused by aerosol transmission. However, droplet infections can still occur, especially in crowds, if minimum distances are not observed and/or masks are not worn. In closed rooms, ventilation is essential to replace the exhaled air in a room with fresh air from outside. Frequent airing and cross-ventilation is just as effective as leaving the window open all the time. From an energy point of view, however, it is more efficient to ventilate the room, especially in winter. CO2 monitors can help to monitor indoor air quality. They indicate when it is necessary to ventilate and when the air in a room has been sufficiently changed during ventilation. However, they can only be used as an indicator and even if the proposed CO2 limit concentrations are met, they do not prevent direct infection by people in the immediate vicinity.
• Air purifiers can make a useful contribution to reducing the concentration of particles and viruses in a room. When procuring air purifiers, care must be taken to ensure that they are adequately dimensioned for the room and application in question in order to significantly reduce the particle and virus load. The air throughput of the unit is more important than the pure efficiency of the filter. For energy and cost reasons, the use of highly efficient filters can even be counterproductive. Permanently installed ventilation systems can also be useful, provided they filter the air to reduce the particle and virus load in a room. To avoid infections, it is advisable to operate them with 100 % fresh air if possible.
From the point of view of the Gesellschaft für Aerosolforschung, there is a considerable need for research, especially at the interdisciplinary borders to research fields of epidemiology, infectiology, virology, ventilation technology and fluid mechanics. The implementation of targeted studies should be made possible at short notice with special funding and research programmes.
This paper was written originally in German by members of the Gesellschaft für Aerosolforschung and is supported by a large number of international aerosol experts. Both the English and German version as well as all images in the paper are available for free download at the following link: https://www.info.gaef.de/positionspapier. The “Gesellschaft für Aerosolforschung e. V.” must be named as the source, whenever an image is used.
The Scythica Vindobonensia, the new fragments on Gothic incursions into Roman provinces in the Balkans in the middle of the third century AD that were revealed some years ago in a Greek palimpsest at the Austrian National Library in Vienna (ÖNB), are commonly considered as one of the most important additions of the last decades to the corpus of texts from classical Antiquity. Tere is a high degree of confdence among scholars in supposing that the fragments come from the lost work Scythica written in Greek by the third-century historian P. Herennius Dexippus (Δέξιππος) of Athens. The new fragments have hence also been called Dexippus Vindobonensis. In his Scythica, Dexippus recorded wars of the Romans with the Goths (and other tribes) whom he called Scythians.
The work had been hitherto known only from excerpts and quotes by later authors. Eight pages of a Byzantine manuscript copy of the ancient text have survived hidden underneath the visible surface of the last four parchment folios of the Vienna manuscript Historicus graecus 73, f. 192r -195v4. The copy is written in a Greek calligraphic minuscule which has been estimated by palaeographers to be of the middle or the second half of the eleventh century. In the thirteenth century, the text (on each of the eight pages arranged in one column, with 30 lines per page) was washed of the parchment and the valuable material made from animal skin was re-used for Christian texts. The new writing largely covered the faded remnants of the original text. It thus became hidden from the human eye for more than seven hundred years. Its discovery by Jana Grusková, a classical philologist specialized in the transmission of Greek texts, resulted from a systematic review of all Greek palimpsests kept at the Austrian National Library in Vienna at the beginning of the twenty-first century and a detailed examination of the four folios in 2007-20097.
Final Draft of the OECD Test Guideline for Particle Size and Particle Size Distribution of Nanomaterials.
The OECD Working Party on Manufactured Nanomaterials (WPMN) has actively worked towards understanding possible safety issues for manufactured nanomaterials and has contributed significantly to resolving these by developing Test Guidelines, Guidance Documents, Test Reports and other publications with the aim of a safe use of manufactured nanomaterials. The OECD website (www.oecd.org/science/nanosafety) and the referenced publications contain more background information.
Among others, the OECD Test Guideline “Particle Size Distribution/Fibre Length and Diameter Distributions” (TG 110, adopted in 1981) was identified to require an update to address the specific needs of manufactured nanomaterials as the TG 110 is currently only valid for particles and fibres with sizes above 250 nm. The WPMN prioritised to either update TG 110 to be applicable also to particles at the nanoscale or draft a new nanomaterial specific Test Guideline (TG). Eventually, it was decided to develop a new TG for particle size and particle size distribution measurements of nanomaterials covering the size range from 1 nm to 1000 nm for further justification. This TG overlaps with TG 110 in the size range from 250 nm to 1000 nm. When measuring particulate or fibrous materials, the appropriate TG should be selected depending on the size range of particles tested. In line with TG 110, the new TG for nanomaterials includes separate parts for particles and fibres. For the part of this TG which addresses particles, several methods applicable to nanomaterials were reviewed and included to take into account developments since 1981 when the TG110 was adopted. This TG includes the following methods: Atomic Force Microscopy (AFM), Centrifugal Liquid Sedimentation (CLS)/Analytical Ultracentrifugation (AUC), Dynamic Light Scattering (DLS), Differential Mobility Analysis System (DMAS), (Nano)Particle Tracking Analysis (PTA/NTA), Small Angle X-Ray Scattering (SAXS), Scanning Electron Microscopy (SEM), and Transmission Electron Microscopy (TEM).
For measuring the diameter and length of fibres, analysing images captured with electron microscopy is currently the only method available. This TG includes Scanning Electron Microscopy (SEM) and Transmission Electron Microscopy (TEM).
To test the validity of this TG, an ILC was performed. Test materials were chosen to reflect a broad 68 range of nanomaterial classes, e.g. metals, metal oxides, polymers and carbon materials. Where possible, well-characterised test materials were used. Additionally, the test materials were chosen, so that they reflect a broad range of sizes representing the size range 1 nm to 1000 nm and finally,
for fibres only, aspect ratios from length/diameter of 3 to > 50.
T cells need to adapt their cellular metabolism for effector cell differentiation. This relies on alterations in mitochondrial physiology. Which signals and molecules regulate those alterations remains unclear. We recently reported, that the mitochondrial protein TCAIM inhibits activation-induced changes in mitochondrial morphology and function and thus, CD effector T cell formation. Using conditional TCAIM knock-in (KI) and knockout (KO) mice, w now show that it also applies to CD8+ T cells and more importantly, delineate the molecular processes in mitochondria by which TCAIM controls effector cell differentiation. TCAIM KI resulted in reduced activation-induced HIF1α protein expression. Metabolomics and transcriptional data in combination with mathematical flux modeling revealed an impaired induction of anabolic pathways, especially of the mevalonate pathway and cholesterol biosynthesis in TCAIM KI CD8+ T cells. Addition of cholesterol completely rescued HIF1α protein expression, activation and proliferation of TCAIM KI CD8+ T cells. At the molecular level, TCAIM delayed activation-induced mitochondria-ER contact (MERC) formation by binding to MERC promoting proteins such as RMD3 and VDAC2. In summary, we demonstrate that TCAIM suppresses effector cell differentiation by inhibiting MERC formation, which induce HIF1α-mediated increase in cellular metabolism and cholesterol biosynthesis.
The trafficking of illegal drugs by criminal networks at borders, harbors, or airports is an increasing issue in public health as these routes ensure the main supply of illegal drugs. The prevention of drug smuggling, including the installation of scanners and other analytical devices to detect ultra-small traces of drugs within a reasonable time frame, remains a challenge. The presented immunosensor is based on a monolithic affinity column with a large excess of immobilized hapten, which traps fluorescently labeled antibodies as long as the analyte cocaine is absent. In the presence of the drug, some binding sites of the antibody will be blocked, which leads to an immediate breakthrough of the labeled protein, detectable by highly sensitive laser-induced fluorescence with the help of a Peltier-cooled complementary metal-oxide-semiconductor (CMOS) camera. Liquid handling is performed with high-precision syringe pumps and microfluidic chip-based mixing devices and flow cells. The biosensor achieved limits of detection of 23 pM (7 ppt) of cocaine with a response time of 90 seconds and a total assay time below 3 minutes. With surface wipe sampling, the biosensor was able to detect 300 pg of cocaine. This immunosensor belongs to the most sensitive and fastest detectors for cocaine and offers near-continuous analyte measurement.
The publicly available document encapsulates the first version of the Catalogue of Services of the future EC4Safenano Centre (CoS 2019).
The CoS 2019 is structured in 12 Service Categories and 27 Service Topics, for each of the 12 categories considered. This architecture configures a 12 x 27 matrix that allows ordering the potential EC4Safenano offer in 324 types of services/groups of services.
Each type of service/group of services is described, in a simple and friendly way, by means of a specific service sheet: the EC4Safenano - Service Data Sheet (EC4-SDS). These EC4-SDSs allow structuring and summarizing the information of each service, providing the customer with a concise view of characteristics of the service and also the contact details with the service provider.
The CoS 2019 deploys a map of services consisting of a set of 100 EC4-SDSs, covering 7 of the 12 Service Categories and 17 of the 27 Service Topics.
The harmonization of services is visualized as a future necessary step in EC4Safenano, in order to strengthen the offer and provide added value to customers with a growing offer of harmonized services in future versions of the CoS.
The information contained in this document is structured in 3 main sections, as follows:
• Catalogue structure. This section describes in short the main characteristics of the CoS 2019.
• Catalogue content. This section represents the core part of the document and encapsulates the set of 100 SDSs displaying the offer proposed by the CoS 2019.
• Online Catalogue. This section describes the resources implemented by EC4Safenano to facilitate the on-line consultation of the CoS 2019 by customers and other interested parties.
Silicon photonic micro-ring resonators (MRR) developed on the silicon-on-insulator (SOI) platform, owing to their high sensitivity and small footprint, show great potential for many chemical and biological sensing applications such as label-free detection in environmental monitoring, biomedical engineering, and food analysis. In this tutorial, we provide the theoretical background and give design guidelines for SOI-based MRR as well as examples of surface functionalization procedures for label-free detection of molecules.
After introducing the advantages and perspectives of MRR, fundamentals of MRR are described in detail, followed by an introduction to the fabrication methods, which are based on a complementary metal-oxide semiconductor (CMOS) technology. Optimization of MRR for chemical and biological sensing is provided, with special emphasis on the optimization of waveguide geometry. At this point, the difference between chemical bulk sensing and label-free surface sensing is explained, and definitions like waveguide sensitivity, ring sensitivity, overall sensitivity as well as the limit of detection (LoD) of MRR are introduced. Further, we show and explain chemical bulk sensing of sodium chloride (NaCl) in water and provide a recipe for label-free surface sensing.
A novel stationary phase for affinity separations is presented. This material is based on sintered borosilicate glass readily available as semi-finished filter plates with defined porosity and surface area. The material shows fast binding kinetics and excellent long-term stability under real application conditions due to lacking macropores and high mechanical rigidity. The glass surface can be easily modified with standard organosilane chemistry to immobilize selective binders or other molecules used for biointeraction. In this paper, the manufacturing of the columns and their respective column holders by 3D printing is shown in detail. The model system protein A/IgG was chosen as an example to examine the properties of such monolithic columns under realistic application conditions. Several specifications, such as (dynamic) IgG capacity, pressure stability, long-term performance, productivity, non-specific binding, and peak shape, are presented. It could be shown that due to the very high separation speed, 250 mg antibody per hour and column can be collected, which surpasses the productivity of most standard columns of the same size. The total IgG capacity of the shown columns is around 4 mg (5.5 mg/mL), which is sufficient for most tasks in research laboratories. The cycle time of an IgG separation can be less than 1 minute. Due to the glass material's excellent pressure resistance, these columns are compatible with standard HPLC systems. This is usually not the case with standard affinity columns, limited to manual use or application in low-pressure systems. The use of a standard HPLC system also improves the ability for automation, which enables the purification of hundreds of cell supernatants in one day. The sharp peak shape of the elution leads to an enrichment effect, which might increase the concentration of IgG by a factor of 3. The final concentration of IgG can be around 7.5 mg/mL without the need for an additional nanofiltration step. The purity of the IgG was > 95% in one step and nearly 99% with a second polishing run.
This document presents the specification for the execution and evaluation of high-speed tensile tests on reinforcement bar coupler systems. This specification was developed at BAM - Bundesanstalt für Materialforschung und -prüfung (Federal Institute for Materials Research and Testing, Germany) - following test principles from related international standards.
The present document represents the latest status of the test specification. It is noted that until 2010 the test procedure was characterised on a test velocity based on L0. In an improved test conception and after intensive investigations in cooperation with industry partners, this procedure has been updated to consider instead a test velocity based on Lr, since this warrants more comparable and meaningful results.
This paper presents deep unfolding neural networks to handle inverse problems in photothermal radiometry enabling super resolution (SR) imaging. Photothermal imaging is a well-known technique in active thermography for nondestructive inspection of defects in materials such as metals or composites. A grand challenge of active thermography is to overcome the spatial resolution limitation imposed by heat diffusion in order to accurately resolve each defect. The photothermal SR approach enables to extract high-frequency spatial components based on the deconvolution with the thermal point spread function. However, stable deconvolution can only be achieved by using the sparse structure of defect patterns, which often requires tedious, hand-crafted tuning of hyperparameters and results in computationally intensive algorithms. On this account, Photothermal-SR-Net is proposed in this paper, which performs deconvolution by deep unfolding considering the underlying physics. This enables to super resolve 2D thermal images for nondestructive testing with a substantially improved convergence rate. Since defects appear sparsely in materials, Photothermal-SR-Net applies trained blocksparsity thresholding to the acquired thermal images in each convolutional layer. The performance of the proposed approach is evaluated and discussed using various deep unfolding and thresholding approaches applied to 2D thermal images. Subsequently, studies are conducted on how to increase the reconstruction quality and the computational performance of Photothermal-SR-Net is evaluated.
Thereby, it was found that the computing time for creating high-resolution images could be significantly reduced without decreasing the reconstruction quality by using pixel binning as a preprocessing step.
Learned block iterative shrinkage thresholding algorithm for photothermal super resolution imaging
(2020)
Block-sparse regularization is already well-known in active thermal imaging and is used for multiple measurement based inverse problems. The main bottleneck of this method is the choice of regularization parameters which differs for each experiment. To avoid time-consuming manually selected regularization parameters, we propose a learned block-sparse optimization approach using an iterative algorithm unfolded into a deep neural network. More precisely, we show the benefits of using a learned block iterative shrinkage thresholding algorithm that is able to learn the choice of regularization parameters. In addition, this algorithm enables the determination of a suitable weight matrix to solve the underlying inverse problem. Therefore, in this paper we present the algorithm and compare it with state of the art block iterative shrinkage thresholding using synthetically generated test data and experimental test data from active thermography for defect reconstruction. Our results show that the use of the learned block-sparse optimization approach provides smaller normalized mean square errors for a small fixed number of iterations than without learning. Thus, this new approach allows to improve the convergence speed and only needs a few iterations to generate accurate defect reconstruction in photothermal super resolution imaging.
Nanomaterials and nanoparticles are finding applications across a wide range of technology sectors, from medicine and food to transportation and construction. In order to assess these new materials for potential risks to health and the environment, they need to be well-characterised. The measurement of constituent nanoparticle size, shape, and size distribution are important factors for the risk evaluation process.
EMPIR project Improved traceability chain of nanoparticle size measurements (17NRM04, nPSize) is working to assess a range of traceable nanoparticle measurement approaches, including Scanning Electron Microscopy (also in Transmission Mode), Atomic Force Microscopy and Small Angle X-ray Scattering, and deliver improved calibration methods to users. For the techniques under investigation, physical models of their response to a range of nanoparticle types are developed. Validated reference materials will also be used for an inter-comparison of measurement systems, with an evaluation of the associated measurement uncertainty. With project contributions to standards development work, manufacturers will be better placed to assess the human and environmental risks posed by nanomaterials across a whole range of products.
Laser excited super resolution thermal imaging for nondestructive inspection of internal defects
(2020)
A photothermal super resolution technique is proposed for an improved inspection of internal defects. To evaluate the potential of the laser-based thermographic technique, an additively manufactured stainless steel specimen with closely spaced internal cavities is used. Four different experimental configurations in transmission, reflection, stepwise and continuous scanning are investigated. The applied image post-processing method is based on compressed sensing and makes use of the block sparsity from multiple measurement events. This concerted approach of experimental measurement strategy and numerical optimization enables the resolution of internal defects and outperforms conventional thermographic inspection techniques.
The image designed by Natalia Cano Murillo and colleagues shows the cross section of a ternary composite (boehmite/polycarbonate/epoxy, 80μm x 80μm). The surface was measured by AFM kelvin probe microscopy, yielding the surface potential which is shown as 3D‐surface and contour lines. The sample was further subjected to AFM force spectroscopy with a lateral resolution of 1μm², yielding the local Young's modulus, projected in false colors on the 3D surface. The ternary system, containing boehmite nanoparticles, shows a broad distribution of modulus, desirable for optimized macroscopic mechanical properties, such as high stiffness as well as toughness.
Plant and process safety are very important within the daily business not only in industry. Within its 6th edition complete analysis of design, operational, and management causes of process plant accidents and disasters are collected by Paul Amyotte basing on Trevor Kletz's legacy. Examples shall help readers in understanding what went wrong, why it went wrong and how to avoid similar tragedies without having to experience the loss incurred by others and themselves. Each main part ends with an opportunity for reflection to recall the lessons learned from the examples shown.
This collection of, unfortunately, spectacular failure cases fulfills its intension of being the ultimate resource of experienced‐based analysis and guidance for safety and loss prevention professionals. Everyone who is dealing with process and/or plant safety shall have taken at least a look into this book.
Currently, storage of electric energy is becoming more and more interesting in terms of applicability and efficiency. One way is the electrochemical storage by already well‐developed battery‐systems. This textbook provides an introduction into physical and chemical processes necessary for battery application.
This book fulfills its intension to serve graduate students of electrical engineering as an introduction into the field of batteries. Even students and interested readers of other faculties might find an introduction in physical and chemical background of batteries.
You Ask – ACEnano Replies
(2020)
The workshop starts with introductory information about the workshop and the H2020 project ACEnano, followed by two expert round tables, focussing on how the project could address regulator and industry needs, respectively. This is be followed by parallel sessions on tools (based on preferences expressed by those registered to attend, see “Questions”) and finally a question-and-answer session with the attendees.
The experts invited in Round Table 1 have been prepared to answer to questions related to obstacles and advantages for stakeholders such as SMEs to use the ACEnano approaches/tools. Standardisation needs are discussed.