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Paper des Monats
- ja (103)
Photophysical and mechanistic studies, the comparison of different emitter classes, and the rational design of the next generation of molecular and nanoscale reporters require quantitative photoluminescence measurements and the reliable determination of the key performance parameter photoluminescence quantum yield (QY), i.e., the number of emitted per absorbed photons. This is of special importance for all photoluminescence applications in the life and material sciences in the UV/vis/NIR/SWIR. To improve the reliability and comparability of photoluminescence and QY measurements across laboratories, pitfalls, achievable uncertainties, and material-specific effects related to certain emitter classes must be explored. Also, suitable protocols and reference materials are needed which have been validated in interlaboratory comparisons for different wavelength regions and transparent and scattering luminophores.[1] Based on absolute and relative photoluminescence measurements of functional dyes and nanomaterials like semiconductor quantum dots and rods, spectrally shifting lanthanide upconversion nanocrystals, perovskites, and YAG:Cer converter materials, reliable methods for determining QY of transparent and scattering luminophores, nonlinear emitters, and solid luminescent nanomaterials have been developed.[2,3] Thereby, material- and method-related uncertainties of relative and absolute QY measurements and achievable uncertainties could be quantified for linear and nonlinear UV/vis/NIR/SWIR emitters and lately for also luminescent and scattering materials and solid phoshors, here in an interlaboratory comparison of three labs utilizing integrating sphere spectroscopy.[4,5] In addition, to provide simple tools for a better comparability of QY measurements, recently, a first set of UV/vis/NIR quantum yield standards has been developed and certified with complete uncertainty budgets.[6] In the following, the outcome of these studies will be presented, thereby addressing common pitfalls and providing recommendations on the performance of reliable QY measurements of linear and non-linear emitters in transparent, scattering, and solid samples.
Wasserstoff leistet als Energieträger der Zukunft einen entscheidenden Beitrag zur nachhaltigen Energieversorgung. Der Transport wird vorwiegend durch das europäische Ferngasleitungsnetz erfolgen. Bisherige Untersuchungen zeigen, dass bisher verwendete Rohrstähle grundsätzlich für den Wasserstofftransport geeignet sind. Diese Eignung ist nicht direkt auf Reparaturfragestellungen im Betrieb übertragbar, da Schweißungen aus technisch-ökonomischen Gründen oft unter fortwährendem Gasfluss durchgeführt werden.
Ein im Erdgasnetz angewandtes Konzept ist das Anbohren druckführender Pipelines („Hot Tapping“). Dazu werden Zylinderhalbschalen zuerst durch Längs- und dann per Rohrrundnähten an die Pipeline geschweißt. Essenziell ist dabei die maßgeschneiderte Wärmeeinbringung, um das „Durchbrennen“ in die Pipeline zu vermeiden. Für zukünftige Wasserstoffpipelines liegt der Fokus u.a. auf dünnwandigen Leitungen. Im Gegensatz zu Erdgas, führen die beim Schweißen erreichten hohen Temperaturen an der Innenseite der Pipeline zu einer zusätzlichen Wasserstoffaufnahme in den Rohrstahl mit möglicher Materialdegradation.
Zur praktischen Lösung der Fragestellung, sind internationale Aktivitäten im Gang. Diese umfassen bspw. die Möglichkeiten und Weiterentwicklung von realistischen Prüfkonzepten (u.a. durch maßstäbliche Bauteilversuche). Dazu untersucht die Bundesanstalt für Materialforschung und -prüfung (BAM) in einem DVGW-geförderten Kooperationsprojekt mit Gasnetzbetreibern, die Frage der Übertragbarkeit der Schweißkonzepte der Erdgastechnik auf zukünftiger Wasserstoffpipelines.
Reversible polycondensations are polycondensations that include equilibration reactions at any stage of the process. Syntheses of Polyesters in bulk involving transesterification reactions and syntheses of polyamides in bulk involving transamidation are typical examples. In 1950, Jacobson and Stockmayer published a first theory of reversible polycondensations based on experimental studies with aliphatic polyesters.[1,2] They explained the reversibility by the reversible formation of cyclic oligomers and low molar mass polymers from an active chain end (so-called “back-biting”). The formation of cycles via end-to-end cyclization was excluded in agreement with Flory´s theory of irreversible polycondensations.[3] The reinvestigation of the Jacobson-Stockmayer experiments by the authors in combination with theoretical considerations shows that the JS theory is wrong. [4,5] It turned out that the experimental scenario is far from the reality. In real polycondensations, intermolecular equilibration is faster than “back-biting”, and end-to-end cyclization is quite normal. The revised theory of step-growth polymerization predicts that in the ideal case of 100% conversion, all reaction products are cycles, regardless, of whether the step-growth polymerization is reversible or not.
Photophysical and mechanistic studies, the comparison of different emitter classes, and the rational design of the next generation of molecular and nanoscale reporters require quantitative photoluminescence measurements and the reliable determination of the key performance parameter photoluminescence quantum yield (QY), i.e., the number of emitted per absorbed photons. This is of special importance for all photoluminescence applications in the life and material sciences in the UV/vis/NIR/SWIR.
As part of the "Journées de Chimie Analytique, JCA Dschang 2024", this plenary scientific conference will explore how analytical electrochemistry is fundamentally changing modern chemical analysis methods. We will highlight key innovations such as wearable/handheld sensors, lab-on-a-chip, lab-on-paper, lab-on-a-glove, integrated detection systems with artificial intelligence, and point-of-care (POC) technologies. We will also address the couplings between analytical electrochemistry and various analytical techniques such as mass spectrometry (EC-MS), chromatography (EC-LC), spectroscopy [EC-spectroscopy (UV-VIS, Raman, IR, NMR)], microscopy [EC-microscopy (EM, AFM)], and capillary electrophoresis (EC-CE). These advances enable faster, more accurate, and more accessible analyses, opening new perspectives for research and practical applications in environmental science, food and agriculture, public health, and advanced materials.
Im Vortrag werden Ergebnisse aus Versuchen mit dem Controlled Thermal Severity (CTS)-Test vorgestellt, der für sehr stark eingespannte Kehlnähte bekannt ist. Niedriglegierte Schweißungen an hochfesten Stählen sind nicht anfällig für Erstarrungsrissbildung. Unter dem besonderen Einfluss eines hohen Einspanngrades wurde die Erstarrungsrissneigung durch Abmessen der Rissflächen als Funktion der Schweißparameter und des Einspanngrades für vier hochfeste Schweißzusätze im MAG-Schweißen untersucht. Die Tests zeigen, dass sowohl eine Erhöhung des Einspanngrades als auch eine Änderung der Schweißparameter (hinsichtlich Streckenenergie und Geschwindigkeit) zu mehr Erstarrungsrissfläche führen. Besonders die Kombination aus sehr hohem Einspanngrad und hoher Streckenenergie plus hoher Schweißgeschwindigkeit sollte im Sinne der Erstarrungsrissminimierung vermieden werden.
UFP-Emission beim 3D-Druck
(2024)
Desktop-3D-Drucker haben in der letzten Dekade große Popularität in Bildungseinrichtungen, kleinen Unternehmen und Privathaushalten erlangt. Weit verbreitet ist mittlerweile die „Fused Filament Fabrication (FFF)“ Technologie. Hier wird ein thermoplastisches Filament geschmolzen, durch eine Metalldüse extrudiert und anschließend schichtweise so auf ein Druckbett aufgetragen, dass ein 3D-Objekt entsteht. Das Filamentmaterial wird dabei thermisch stark belastet, was zur Emission von Aerosolen sowie flüchtigen organischen Verbindungen (VOC) führt. Dabei werden hauptsächlich ultrafeine Partikel (UFP, dP < 100 nm) freigesetzt werden, die sogar in manchen Fällen im sub-4nm Größenbereich einen signifikanten Anteil ausmachen können (Tang und Seeger 2024).
Die gesundheitliche Relevanz eingeatmeter UFP ist durch sehr viele Studien gut belegt. Während eines i.d.R. mehrstündigen FFF-Druckvorgangs wird ein Anwender mit diesen Luftschadstoffen im Innenraum exponiert, häufig ohne eine Einschätzung des damit verbundenen Risikos zu haben. Die Exposition kann durch technische Faktoren (z.B. Druckerausstattung und -einstellung, Innenraumventilation), aber auch erheblich durch die Filamentauswahl beeinflusst werden. Unser Vorschlag zur Risikominderung besteht in der Auszeichnung emissionsarmer Filamentprodukte mit dem Umweltzeichen „Blauer Engel“, um so den Verbrauchern eine fundierte Auswahl zu ermöglichen. In unserem Projekt entwickeln wir dafür ein kammerbasiertes, standardisierbares und robustes Prüfverfahren zur vergleichenden Messung der Emission aus Filamenten. Mit dem Strangdruck-Verfahren (engl. Strand Printing Method, SPM) wird eine festgelegte Filamentlänge mit konstanter Rate extrudiert und auf dem Druckbett abgelegt, ohne dabei ein 3D-Objekt aufzubauen. Diese Vorgehensweise reduziert den Einfluss experimentell schlecht zu kontrollierender Faktoren sowie die Ausfallquote. Eine detaillierte Beschreibung und die Vorteile von SPM werden in Tang und Seeger (2022) erläutert. SPM wurde bereits für 44 Filamentprodukte aus unterschiedlichen Polymeren und Additiven als Vergleichstest angewendet. Alle Messungen wurden in einer klimatisierten 1 m³-Emissionsprüfkammer durchgeführt. Die Gesamtanzahl der emittierten Partikel (TP) dient als Beurteilungsmaß, in Anlehnung an die Vergabegrundlage DE-UZ-219 des Umweltzeichens Blauer Engel für Laserdrucker. Unter den getesteten Filamentprodukten variiert TP um ca. vier Größenordnungen (1E+9 ≤ TP ≤ 1E+13). Auch innerhalb jeder der untersuchten Polymergruppen variierte TP signifikant. Die Partikelemission kann daher nicht allein nach dem Basispolymer kategorisiert werden. Unsere Resultate belegen, dass die Stärke der Partikelemission eher eine charakteristische und individuelle Eigenschaft eines Filamentproduktes ist. Die Herkunft der Polymere, die herstellerspezifischen Additive sowie die nicht deklarierte Verunreinigungen können einen starken Einfluss auf die Emission haben. Die Auszeichnung von emissionsarmen Filament-produkten verspricht somit eine einfache, aber effektive Maßnahme zu sein, um Verbrauchern eine Minderung des Expositionsrisikos beim FFF-3D-Druck zu ermöglichen.
The electrochemical behavior of 4-phenylurazole (Ph-Ur) was studied and the latter was used as a molecular anchor for the electrochemical bioconjugation of tyrosine (Y). Cyclic voltammetry (CV) and controlled potential coulometry (CPC) allowed to generate in situ from phenylurazole the PTAD (4-phenyl-3H-1,2,4-triazole-3,5(4H)-dione) species on demand for tyrosine electrolabeling. To evaluate the performance of tyrosine electrolabeling, coulometric analyses at controlled potentials were performed on solutions of phenylurazole and the phenylurazole-tyrosine mixture in different proportions (2:1, 1:1, and 1:2). The electrolysis of the phenylurazole-tyrosine mixture in the ratio (1:2) produced a charge of 2.07 C, very close to the theoretical value (1.93 C) with high reaction kinetics, a result obtained here for the first time. The products obtained were identified and characterized by liquid chromatography coupled to high-resolution electrospray ionization mass spectrometry (LC-HRMS and LC-HRMMS). Two products were formed from the click reactions, one of which was the majority. Another part of this work was to study the electrochemical degradation of the molecular anchor 4-phenylazole (Ph-Ur). Four stable degradation products of phenylurazole were identified (C7H9N2O, C6H8N, C6H8NO, C14H13N4O2) based on chromatographic profiles and mass spectrometry results. The charge generated during the electrolysis of phenylurazole (two-electron process) (2.85 C) is inconsistent with the theoretical or calculated charge (1.93 C), indicating that secondary/parasitic reactions occurred during the electrolysis of the latter. In conclusion, the electrochemically promoted click phenylurazole-tyrosine reactions give rise to click products with high reaction kinetics and yields in the (1:2) phenylurazole-tyrosine ratios, and the presence of side reactions is likely to affect the yield of the click phenylurazole-tyrosine reaction.
Ergot alkaloids, potent mycotoxins produced by Claviceps spp., particularly Claviceps purpurea, pose significant health risks when they contaminate rye and related cereals, leading to ergotism in humans and mammals [1]. In response, the European Union has established Regulation 2023/915, setting maximum residue levels for the sum of 12 principal ergot alkaloids and other mycotoxins including fumonisins (FUM), deoxynivalenol (DON), zearalenone (ZEN), and T2/HT2 toxins in food products. Given the prevalent co-occurrence of mycotoxins, their simultaneous detection is crucial for ensuring the safety of food and feed [2, 3].
Traditionally, chromatographic techniques such as liquid chromatography coupled with (tandem) mass spectrometry (LC-MS/MS) have been employed for multiplex detection of mycotoxins [4, 5]. While effective, these methods require specialized facilities, expensive equipment, and skilled personnel. Immunoassays like ELISA and lateral flow assays offer a more accessible alternative for rapid mycotoxin detection, yet they generally lack the capability for concurrent multi-toxin screening.
This study introduces the SAFIA (Suspension Array Fluorescence Immunoassay), a particle-based immunoassay utilizing fluorescence-encoded microparticles for the simultaneous detection of multiple analytes [6, 7]. The assay's innovative advancement comes with the inclusion of ergot alkaloids, a novel addition to its existing detection capabilities for fusarium toxins and trichothecenes, thereby expanding its scope to a broader range of mycotoxins. The assay employs antibodies targeting the ergoline moiety common to all major ergot alkaloids, facilitated by a synthesized hapten mimicking the ergoline structure. This hapten was conjugated to amino-functionalized beads, and a panel of five monoclonal antibodies was evaluated for hapten recognition, binding specificity, and competitive binding efficiency.
Our findings demonstrate that all antibodies displayed similar affinities towards the hapten and lysergol (a stable and less hazardous analogue of lysergic acid used for calibration), achieving detection limits as low as 2 ppb. Cross-reactivity studies and analysis of round-robin test material indicated a significant underestimation of ergot alkaloid levels in samples. However, accurate detection of ergot alkaloids remains feasible through the application of a correction factor to the results, which compensates for this underestimation and ensures the assay's effectiveness. Despite this adjustment, the necessity for enhancements in antibody specificity to improve assay accuracy is evident. Furthermore, the inclusion of the ergot assay in a multiplexed setup for detecting FUM, DON, ZEN, and T-2 toxins showed no interference, although an unexpected inhibition among four out of five ergot antibodies was observed. This underscores the need for an improved immunogen structure to achieve optimal detection of ergot alkaloids.
In conclusion, our study presents a promising approach for the multiplexed detection of ergot alkaloids alongside other mycotoxins, highlighting the potential of SAFIA in enhancing food and feed safety through improved mycotoxin screening. Future work will focus on refining antibody specificity and assay configurations to overcome current limitations and ensure accurate, comprehensive mycotoxin detection.
Currently, there is a growing interest in the study of environmental degradation pathways of organic contaminants such as pesticides, with the objective to better understand their potential risk for environmental systems and living organisms. In this context, DFT (conceptual density functional theory) and predictive methods may systematically be used to simplify and accelerate the elucidation of environmental degradation. We report herein the electrochemical behavior/degradation of the carbendazim (CBZ) fungicide widely used to treat cereal and fruit crops. Oxidative degradation of CBZ was studied using an electrochemical flow-through cell directly coupled to a mass spectrometer for rapid identification of CBZ degradation products. The structural elucidation of CBZ oxidation products was based on retention time, accurate mass, isotopic distribution and fragmentation pattern by using LC-HRMS an LC-HRMS2. The most important chemical reactions found to occur in the transformation of CBZ were hydrolysis and hydroxylation. EC-LC-MS and EC-MS analysis has made it possible to highlight the identification of degradation products of CBZ. In addition to previously known transformation products common to those observed during environmental degradation (monocarbomethoxyguanidine, benzimidazole-isocyanate, 2-aminobenzimidazole, hydroxy-2-aminobenzimidazole, hydroxycarbendazim, CBZ-CBZ dimer), two new degradation products were identified in this work: a quinone imine and a nitrenium ion. Electrochemistry mass spectrometry hyphenated techniques represent an accessible, rapid and reliable tool to elucidate the oxidative degradation of CBZ, including reactive degradation products and conjugates.
Data-driven materials design aims to predict and optimize material properties, such as stability and thermal conductivity, which are influenced by vibrational behavior. Approaches like DFT are computationally demanding and have limitations for phonon calculations. Machine learning-driven interatomic potentials (MLIP), like the Gaussian approximation potential (GAP), offer a more efficient alternative.1–8 We developed a Python workflow to automate MLIP generation using the Materials Project database.9 DFT computations, MLIP fitting and benchmark steps are automated.10,11 This approach accelerates phonon calculations and supports testing different data generation strategies and hyperparameters, and further validation12 is planned. Our goal is to provide open-source code and share these potentials.
Resistance to carbonation and chloride migration are critical durability properties in cementitious construction materials. The ingress of CO2 and chlorides can lead to concrete deterioration and reinforcement corrosion, underscoring the importance of ensuring high resistance to these durability-reducing factors. Traditional methods, such as determinating the carbonation coefficient using standard procedures, are time-consuming and resource-intensive. These tests typically require 42 days of preconditioning, followed by 70 days before the final results can be determined using a phenolphthalein test, for a total duration of 112 days. In addition, some test chambers can only accommodate four samples at a time.
In this study, we investigate whether 1H NMR relaxometry can effectively predict not only the carbonation resistance, KAC,3%, but also the chloride migration coefficient, DRCM, and the compressive strength, fc, of concrete, providing a method that could potentially streamline and accelerate the material development process by directing us quickly to potentially well-suited formulations. We performed measurements on non-carbonated fully saturated concrete and mortar samples at 28, 56, and 92 days using the NMR tomograph at BAM (8.9 MHz). Notably, the NMR measurements taken at 28 days showed no significant differences, suggesting that this timeframe is sufficient for meaningful results. The samples analyzed were drill cores, each 70 mm in diameter and approximately 120 mm in height. The NMR features we focused on included the initial amplitude E0, the x and y values of the dominant T2 relaxation time, and the logarithmic mean of the T2 relaxation time distribution. Another key feature was the surface relaxivity, which was determined by comparing the NMR curves with results from mercury intrusion porosimetry. We examined the correlation of these NMR features with the aforementioned durability properties, which were determined in a laboratory on sister samples using standard procedures. No chloride migration tests were performed on the mortar samples, and the carbonation procedure was carried out unter atmospheric conditions.
The preliminary results show that the correlation factors for the NMR features with the carbonation coefficients of concrete were particularly remarkable. The strongest correlations were observed for the dominant relaxation time and the logarithmic mean, with values approaching 1. The preliminary results also indicate that there are high correlations between the compressive strength and amplitude-related features. In contrast, no strong correlations are observed for the DRCM. Although the results related to the mortar samples are still being analyzed, these initial correlations suggest that 1H NMR relaxometry could be a valuable tool for early assessment of material properties. Furthermore, the rapid and non-destructive nature of NMR measurements, requiring only a few minutes per sample, suggests that this technique has the potential to significantly accelerate the process of evaluating durability properties in cementitious materials. This capability also paves the way for the use of NMR features as input for AI-driven predictive models.
Weitestgehendes Recycling vorhandener Materialien und Produkte ist ein wesentlicher Bestandteil der Kreislaufwirtschaft. Verpackungen auf Kunststoffbasis, darunter Behälter für Lebensmittel und Getränke, aber auch für die Lagerung und den Transport von Chemikalien und Gefahrgütern, werden derzeit größtenteils aus fossilen Rohstoffen hergestellt. Doch selbst für diese „kontaktempfindlichen“ Produkte besteht weiterhin das Ziel der Nachhaltigkeit durch den Einsatz von Recyclingmaterialien. Diese sehr aktuelle Diskussion findet derzeit im Rahmen der EU-Verpackungs- und Verpackungsabfallverordnung (PPWR) statt, die voraussichtlich noch in diesem Jahr abgeschlossen sein wird. Bei Verpackungen für den Transport gefährlicher Güter sind die Sicherheitseigenschaften der Behälter aus „neuen“ Materialien, einschließlich Polyethylen (PE), gut bekannt und werden im Rahmen ihrer Bauartzulassung getestet. Über ihre Gegenstücke aus Recyclingmaterialien ist jedoch weitaus weniger bekannt. Abgesehen von Materialschwächung kann der Eintrag von Rückständen in recycelte Kunststoffe zu einer Verunreinigung der Waren in der Verpackung führen.
Um diese Lücke zu schließen, haben wir Kanister aus hochdichtem PE (HDPE) aus Post-Consumer-Abfällen auf die Freisetzung von Kunststoffzusätzen und Verunreinigungen untersucht. Mithilfe eines umfassenden, nicht zielgerichteten Ansatzes mit hochauflösender Massenspektrometrie (HRMS) konnten wir je nach Art der gelagerten Chemikalie und Lagerdauer 895 verschiedene Komponenten detektieren. Die meisten Komponenten waren alleinig oder in wesentlich höherer Konzentration in recyceltem HDPE als in herkömmlichem HDPE nachzuweisen. 154 der Komponenten konnten identifiziert und auf ihre funktionale Verwendung hin analysiert werden. Interessanterweise ergab diese Analyse „Kosmetik“, „Duftstoffe“ und „Geschmacksstoffe“ als Hauptassoziationen neben bekannten und erwarteten Verwendungen im Bereich „Kunststoffe“. Dies deutete auf einen erheblichen Eintrag von Fremdverunreinigungen in das Produkt hin. Rezyklierte Kanister zeigten damit deutliche Nachteile im Vergleich zu herkömmlichen Kanistern. Eine detaillierte Bewertung der Ergebnisse im Hinblick auf die Materialsicherheit in diesem Produktsegment steht noch aus.
The carbonation resistance of alkali-activated materials (AAMs) is a crucial parameter for their applicability in concrete construction, yet the parameters influencing it are insufficiently understood to date. In the present study, the carbonation resistance of alkali-activated concretes with varying fractions of ground granulated blast furnace slag (GGBFS) and calcined clay (i.e., high, intermediate, and low Ca contents) were assessed under natural and accelerated conditions. Corresponding hardened AAM pastes were studied using X-ray diffraction, thermogravimetry, Raman microscopy, and mercury intrusion porosimetry. The carbonation resistance of the concretes at natural CO2 concentration depended principally on their water/(CaO + MgOeq + Na2Oeq + K2Oeq) ratio. The remaining variability for similar ratios was caused by differences between the pore structures of the AAMs. For concrete with favorable water/(CaO + MgOeq + Na2Oeq + K2Oeq) ratio and pore structure, the carbonation resistance was comparable to that of Portland cement concrete. The relationship between carbonation coefficients obtained under accelerated and natural conditions differed for concretes with high and low fractions of calcined clay, indicating that accelerated carbonation testing is less suitable to study the carbonation of low-Ca AAMs.
Im Beitrag werden Ergebnisse aus Versuchen mit dem Controlled Thermal Severity (CTS)-Test vorgestellt, der für sehr stark eingespannte Kehlnähte bekannt ist. Niedriglegierte Schweißungen an hochfesten Stählen sind nicht anfällig für Erstarrungsrissbildung. Unter dem besonderen Einfluss eines hohen Einspanngrades wurde die Erstarrungsrissneigung durch Abmessen der Rissflächen als Funktion der Schweißparameter und des Einspanngrades für vier hochfeste Schweißzusätze im MAG-Schweißen untersucht. Die Tests zeigen, dass sowohl eine Erhöhung des Einspanngrades als auch eine Änderung der Schweißparameter (hinsichtlich Streckenenergie und Geschwindigkeit) zu mehr Erstarrungsrissfläche führen. Besonders die Kombination aus sehr hohem Einspanngrad und hoher Streckenenergie plus hoher Schweißgeschwindigkeit sollte im Sinne der Erstarrungsrissminimierung vermieden werden.
Die Entwicklung zukünftiger Generationenvon stationären Gasturbinen verfolgt das Hauptziel, den thermischen Wirkungsgrad zu erhöhen, bei gleichzeitiger Reduktion der CO2-Emissionen. Ein mögliches Lösungskonzept besteht darin, bestehende Turbinenkonzepte auf nachhaltig erzeugten Wasserstoff umzustellen. Durch den Betrieb mit Wasserstoff entsteht eine erhöhte Belastung für konventionelle thermische Hitzeschutzkomponenten. Daher ist die Entwicklung von sogenannte Environmental Barrier Coatings (EBC) oder Materialkonzepten, die eine thermodynamische Stabilität in heißer Gasumgebung aufweisen, erforderlich.
Flow cytometry-based immunoassays are valuable in biomedical research and clinical applications due to their high throughput and multianalyte capability, but their adoption in areas such as food safety and environmental monitoring is limited by long assay times and complex workflows. Rapid, simplified bead-based cytometric immunoassays are needed to make these methods viable for point-of-need applications, especially with the increasing accessibility of miniaturized cytometers. This work introduces superparamagnetic hybrid polystyrene-silica core−shell microparticles as promising alternatives to conventional polymer beads in competitive cytometric immunoassays. These beads, featuring high specificity, sensitivity, and excellent handling capabilities via magnetic separation, were evaluated with three different antibodies and binding methods, showing variations in signal intensity based on the antibody and its attachment method. The optimal performance was achieved through a secondary antibody binding approach, providing strong and consistent signals with minimal uncertainty. The optimized protocol made it possible to achieve a detection limit of 0.025 nM in a total assay time of only 15 min and was successfully used to detect ochratoxin A (OTA) in raw flour samples. This work highlights the potential of these beads as versatile tools for flow cytometry-based immunoassays, with significant implications for food safety, animal health,
environmental monitoring, and clinical diagnostics.
Single-particle inductively coupled plasma-mass spectrometry (sp-ICP-MS) is one of the most powerful tools in the thriving field of nanomaterial analysis. Along the same lines, single-cell ICP-MS (sc-ICP-MS) has become an invaluable tool in the study of the variances of cell populations down to a per-cell basis. Their importance and application fields have been listed numerous times, across various reports and reviews. However, not enough attention has been paid to the immense and ongoing development of the tools that are currently available to the analytical community for the acquisition, and more importantly, the treatment of single-particle and single-cell-related data. Due to the ever-increasing demands of modern research, the efficient and dependable treatment of the data has become more important than ever. In addition, the field of single-particle and single-cell analysis suffers due to a large number of approaches for the generated data—with varying levels of specificity and applicability. As a result, finding the appropriate tool or approach, or even comparing results, can be challenging. This article will attempt to bridge these gaps, by covering the evolution and current state of the tools at the disposal of sp-ICP-MS users.
Graphical Abstract
Metallic materials, predominantly steels, are the most common structural materials in the various components along the hydrogen supply chain. Ensuring their sustainable and safe use in hydrogen technologies is a key factor in the ramp-up of the hydrogen economy. This requires extensive materials qualification, however, most of the accepted; and standardized test methods for determining the influence of gaseous hydrogen on metallic materials describe complex and costly procedures that are only available to a very limited extent worldwide. The hollow specimen technique is a simple, rapid, and economical method designed to overcome the limitations of the current methods for the qualification of metallic materials under high-pressure hydrogen gas. However, this technique is not yet standardized. The TransHyDE-H2Hohlzug project is presented in this article, along with the main steps required to optimize the hollow specimen technique. This includes closing knowledge gaps related to the specimen geometry, surface quality, and gas purity in dedicated working packages, thus contributing to a comprehensive standardization of the technique for tests in high-pressure hydrogen gas.
The analysis of per- and polyfluoroalkyl substances (PFAS) via sum parameters like extractable organic fluorine (EOF) in combination with high resolution-continuum source-graphite furnace molecular absorption spectrometry (HR–CS–GFMAS) is highly promising regarding fluorine sensitivity and selectivity. However, the HR–CS–GFMAS method includes several drying and heating steps which can lead to losses of volatile PFAS before the molecular formation step using e.g., GaF formation. Hence, the method leads to a strong discrimination of PFAS within the EOF depending on their physical/chemical properties and is therefore associated with reduced accuracy. To reduce this discrepancy and to indicate realistic PFAS pollution values, an optimization of the HR–CS–GFMAS method for PFAS analysis is needed. Hence, we determined fluorine response factors of several PFAS with different physical/chemical properties upon application of systematic optimization steps. We could therefore improve the method's sensitivity for PFAS analysis using a modifier drying pre-treatment step followed by a sequential injection of sample solutions. The highest improvement in sensitivity of volatile PFAS was shown upon addition of a Mg modifier during drying pre-treatment. Thereby, during optimization the relative standard deviation of fluorine response factors could be reduced from 55 % (initial method) to 27 % (optimized method) leading to a more accurate determination of organofluorine sum parameters. The method provides an instrumental LOD and LOQ of β(F) 1.71 μg/L and 5.13 μg/L, respectively. Further validation aimed to investigate several matrix effects with respect to water matrices. Here, substance-specific behavior was observed. For example, perfluorooctanoic acid (PFOA) which was used as calibrator, showed signal suppressions upon high chloride concentrations (>50 mg/L). Hence, a thorough separation of Cl from analytes during sample preparation is needed for accurate sum parameter analysis.
Although numerous investigations study the improvement of flame retardancy of epoxy resins using additives, maintaining the flame retardant (FRs) modes of action present in the resins upon transfer to composites is challenging. In this study, ammonium polyphosphate (APP) and inorganic silicate (InSi) are loaded at 10%, 30%, and 50% by weight, in a diglycidyl ether of bisphenol A (DGEBA) resin cured with dicyandiamide and transferred to bidirectional (BD) glass fiber (GF) composites. Although a 50% loading of the FRs impacts the curing kinetics of the resin system, the effect on the glass transition temperature of the resin system remains negligible compared to reactive FRs in the state of the art integrated into the resin's chemical structure. Increasing the FR content improved the heat release characteristics in both the resins and composites. However, the charring mode of action is completely suppressed in the formulation with 10% APP + InSi. A 30% concentration of the FRs restored the charring action in the composite and the GFs provide increased protective layer action upon transfer to the composites. This study highlights the importance of accounting for the changing dynamics related to processing and flame retardancy upon transferring FRs from resins to composites.
Ytterbium-doped LiYF4 (Yb:YLF) is a promising material for all-solid-state optical cryocoolers, but the impact of foreign rare-earth impurities on the laser-cooling performance is not completely understood. In particular, Tm3+ has been reported to reduce the background absorption. This study quantitatively assesses the impact of Ho3+, Tm3+, and Er3+ impurities on laser-cooling of Yb:YLF by anti-Stokes fluorescence. We grew five Yb(5%):YLF crystals intentionally doped with tens of ppm levels of these impurities. Laser-induced thermal modulation spectroscopy tests confirmed that these rare-earth impurities reduce the external quantum efficiency of Yb:YLF without affecting the background absorption coefficient. Although Er3+ is a well-known quencher for Yb3+, Er3+ co-doping only slightly decreases the laser-cooling efficiency at low pump intensities but becomes detrimental at high pump intensities (>5 kW cm−2). However, this detrimental effect diminishes at lower temperatures, as evidenced by cooling an Er3+ co-doped crystal to the same minimum temperature of 144K as a solely Yb3+-doped crystal. Contrary to previous reports, Tm3+ proved to be the most detrimental among the three impurities.
ABSTRACT: Microorganisms often live in habitats characterized by fluid flow, and their adhesion to surfaces in industrial systems or clinical settings may lead to pipe clogging, microbially influenced corrosion, material deterioration, food spoilage, infections, and human illness. Here, a novel microfluidic platform was developed to investigate biofilm formation under precisely controlled (i) cell concentration, (ii) temperature, and (iii) flow conditions. The developed platform central unit is a single-channel microfluidic flow cell designed to ensure ultrahomogeneous flow and condition in its central area, where features, e.g., with trapping properties, can be incorporated. In comparison to static and macroflow chamber assays for biofilm studies, microfluidic chips allow in situ monitoring of biofilm formation under various flow regimes and have better environment control and smaller sample requirements.
Flow simulations and experiments with fluorescent particles were used to simulate bacteria flow in the platform cell for calculating flow velocity and direction at the microscale level. The combination of flow analysis and fluorescent strain injection in the cell showed that microtraps placed at the center of the channel were efficient in capturing bacteria at determined positions and to study how flow conditions, especially microvortices, can affect biofilm formation. The microfluidic platform exhibited improved performances in terms of homogeneity and robustness for in vitro biofilm formation. We anticipate the presented platform to be suitable for broad, versatile, and high-throughput biofilm studies at the microscale level.
The control of stress development in cast ceramics during drying is usually one of critical steps in ceramic processes, which is important also for additive manufacturing technologies using a suspension as feedstock. This work introduces a method based on the cantilever deflection method, to simultaneously quantify the kinetics of solvent evaporation, the shrinkage and the intensity of in-plane stresses developed during drying. Particular attention is given here to the experimental limits of the method and to the optimization of the experimental conditions to suitably measure the intensity of in-planar stress in the coating. The optimized method is applied to
four alumina slurries for the water-based additive manufacturing technology LSD-print. Four stages of drying are identified and discussed in relation with the granulometry and morphology of the alumina ceramic particles.
Following points are addressed in this contribution: Advantages of correlative analysis in electron microscopy; Measurement principle of the different electron microscopy modes used; Presentation of the nanomaterials used for this study; Role of sample preparation; and, with particular description, the Sequence kV-variation with InLens SE & transmission SEM detection of the same field-of-view.
Since laser powder bed fusion (PBF-LB/M) is prone to the formation of defects during the building process, a fundamental requirement for widespread application is to find ways to assure safety and reliability of the additively manufactured parts. A possible solution for this problem lies in the usage of in-situ thermographic monitoring for defect detection. In this contribution we investigate possibilities and limitations of the VIS/NIR wavelength range for defect detection. A VIS/NIR camera can be based on conventional silicon-based sensors which typically have much higher spatial and temporal resolution in the same price range but are more limited in the detectable temperature range than infrared sensors designed for longer wavelengths. To investigate the influence, we compared the thermographic signatures during the creation of artificially provoked defects by local parameter variations in test specimens made of a nickel alloy (UNS N07208) for two different wavelength ranges (~980 nm and ~1600 nm).
Dieses Dokument enthält die Präsentationsfolien des BAM-Teams beim Abschlusstreffen des Forschungsprojekts DiMoWind-Inspect. Es wurden die Arbeitspakete Datenmanagement, Referenzkennzeichnungssystem, Grundlagen der Schadensbewertung, Risikobasierte Inspektions- und Instandhaltungsplanung und Schadensdetektion mittels Risslumineszenz sowie eine abschließende Bewertung des Projekts vorgestellt.
Aufbauend auf dem historischen Schadensfall von A. Martens im Jahr 1894 zur Explosion von H2-Gasflaschen auf dem Tempelhofer Feld und den dabei durchgeführten Untersuchungen wird im Hauptteil des Vortrages auf die Standardisierung der Hohlzugprüftechnik eingegangen. Dabei wird zunächst auf die Vor- und Nachteile unterschiedlicher Prüfmöglichkeiten zur Wasserstoffkompatibilität metallischer Werkstoffe und deren Schweißverbindungen eingegangen und im Weiteren die Umsetzung der Prüftechnik an der BAM beschrieben. Für die Standardisierung der Hohlzugprüftechnik wurden verschiedene Randbedingungen mit Einfluss auf die Ergebnisqualität überprüft. Dabei wurde der Pipelinestahl X65 als auch der additiv gefertigte Werkstoff 316L genutzt. Abschließend wird auf die Verwaltungspartnerschaft mit Namibia eingegangen und die umzusetzenden Projekte mit Bezug zur Schweißtechnik dargestellt.
Powder bed technologies are amongst the most successful Additive Manufacturing (AM) techniques. The application of these techniques to most ceramics has been difficult so far, because of the challenges related to the deposition of homogeneous powder layers when using fine powders.
In this context, the "layerwise slurry deposition" (LSD) has been developed as a layer deposition method enabling the use of powder bed AM technologies also for advanced ceramic materials. The layerwise slurry deposition consists of the layer-by-layer deposition of a ceramic slurry by means of a doctor blade, in which the slurry is deposited and dried to achieve a highly packed powder. Not only very fine, submicron powders can be processed with low organics, but also the dense powder bed provides excellent support to the parts built.
The latest development of this technology shows that it is possible to print ceramic parts in a continuous process by depositing a layer onto a rotating platform, growing a powder bed following a spiral motion. The unique mechanical stability of the layers in LSD-print allows to grow a powder bed several centimeters thick without any lateral support. The continuous layer deposition allows to achieve a productivity more than 10X higher compared to the linear deposition, approaching a build volume of 1 liter/hour.
Understanding interfacial chemistry: probing surface modifications by differential phage display
(2024)
Phage surface display combined with next-generation sequencing allows for the in-depth analysis of millions of sequences and enables the discovery of specific target binding peptides. The vast amount of valuable data from next-generation phage display experiments on material surfaces can be used to gain insight into peptide-based molecular interactions to reveal the local interfacial chemistry. The talk will discuss a developed differential strategy for data-driven probing of 3D printed electrodes before and after electrochemical activation.
In clinical magnetic resonance imaging, non-specific Gd-based contrast agents (GBCAs) are frequently used to improve image quality. However, the interaction of GBCAs with tissue components is not yet fully understood. Many diseases, including inflammation, fibrosis, and tumor invasion, are associated with characteristic changes of the extracellular matrix (ECM). The ECM is a three-dimensional scaffold that embeds the cells of all mammalian tissues. It is composed of structural proteins (e.g., collagen, elastin) and proteoglycans, which consist of glycosaminoglycans (GAGs) covalently bound to a protein core. GAGs are characterized by their ability to form complexes with cations such as lanthanides. Thus, GAGs could be a potential binding partner for GBCAs as a whole or for dechelated Gd. Laser ablation inductively coupled plasma time-of-flight mass spectrometry (LA/ICP-ToF-MS) was used to investigate the uptake and distribution of different GBCAs in spheroids mimicking biological tissue and exhibiting different ECM expressions. Spheroids from Chinese hamster ovary (CHO) cells and GAG-depleted CRL-2242 cells were incubated with gadolinium chloride and various linear and macrocyclic GBCAs. Although all spheroids were exposed to identical Gd concentrations, differences in the amount of Gd taken up were observed. Gadolinium chloride is more strongly absorbed and accumulates mainly in the outer regions of the spheroids. In contrast, after incubation with linear and macrocyclic GBCAs, Gd is detected in the interior of both types of spheroids. Furthermore, differences in the Gd amount were found depending on the GBCA used. However, further studies are needed to elucidate such complex interactions, also using other (bio)analytical techniques.
Hybrid additive manufacturing plays a crucial role in the restoration of gas turbine blades, where e.g., the damaged blade tip is reconstructed by the additive manufacturing process on the existing blade made of a parent nickel-based alloy. However, inherent process-related defects in additively manufactured material, along with the interface created between the additively manufactured and the cast base material, impact the fatigue crack growth behavior in bi-material components. This study investigates the fatigue crack growth behavior in bi-material specimens of nickel-based alloys, specifically, additively manufactured STAL15 and cast alloy 247DS. The tests were conducted at 950 °C with stress ratios of 0.1 and -1. Metallographic and fractographic investigations were carried out to understand crack growth mechanisms. The results revealed significant retardation in crack growth at the interface. This study highlights the potential contributions of residual stresses and microstructural differences to the observed crack growth retardation phenomenon, along with the conclusion from an earlier study on the effect of yield strength mismatch on crack growth behavior at a perpendicular interface in bi-material specimens.
Therapeutic monoclonal antibodies are the fastest-growing class of biological agents and the development of reliable analytical methods for their quantification is becoming increasingly important. Liquid chromatography coupled with tandem mass spectrometry (LC–MS/MS) represents one of the leading technologies for antibody quantification. The serin protease trypsin has emerged as the gold standard enzyme for digesting intact protein into peptides for this approach. However, many protocols exist that often lead to different results. The talk will provide a brief introduction to the application of novel thermostable and surface-functionalized trypsin particles for improved antibody digestion as well as initial successes in polymer functionalization of the corundum surface to prevent nonspecific protein adsorption during the digestion procedure.
Die zerstörungsfreie Prüfung von Eisenbahnschienen auf betriebsbedingte Schädigungen wird mit Schienenprüfzügen mittels Ultraschall- und Wirbelstromprüfverfahren durchgeführt [1]. Die Auswertung der Prüfdaten erfolgt überwiegend manuell, die eingesetzte Software unterstützt die Auswertenden lediglich durch eine Vorauswahl relevanter Anzeigen. Die Überprüfung der Ergebnisse erfolgt anschließend vor Ort mittels handgeführter Prüfgeräte. Instandhaltungsmaßnahmen werden auf Basis der Befundung vor Ort abgeleitet.
Ziel des durch das Bundesministerium für Digitales und Verkehr (BMDV) im Rahmen von mFUND unter dem Förderkennzeichen 19FS2014 geförderten Vorhabens AIFRI (Artificial Intelligence For Rail Inspection) ist es, durch den Einsatz von KI-Methoden den Automatisierungsgrad des Prüfprozesses von der Auswertung der Daten bis hin zur Planung von Instandhaltungsmaßnahmen zu erhöhen. Die Genauigkeit der Fehlerdetektion soll gesteigert werden, um eine automatisierte Einstufung der aufgefundenen Anzeigen in Risikoklassen zu ermöglichen. Hierfür werden Daten sowohl von Wirbelstromprüfungen als auch Ultraschallprüfungen verwendet.
Im Rahmen des IT-orientierten Projektes werden relevante Schienenschädigungen und in der Schiene vorhandene Artefakte analysiert und in einen parametrierbaren digitalen Zwilling übertragen. Mit diesem digitalen Zwilling werden virtuelle Schädigungsbilder generiert, mit denen KI-Algorithmen auf die Defekterkennung und -klassifizierung trainiert werden. Insbesondere werden hierbei Synergien genutzt, die durch die Verknüpfung von Daten der Wirbelstrom- und Ultraschallprüfung bei einer gemeinsamen Bewertung entstehen. Mit Hilfe von Zuverlässigkeitsbetrachtungen werden die entwickelten und trainierten Algorithmen hinsichtlich der Detektion und Charakterisierung von Schienenschädigungen bewertet.
Im Verlauf des Projektes soll mit dem entwickelten IT-Werkzeug ein Demonstrator aufgebaut und im Feld mit realen Datensätzen getestet werden
Ontologies and data pipelines - a field report from the development of multilayer ferrite inductors
(2024)
Digitalization is a current and prominent cross-cutting topic in ceramics and materials science in general. Many research initiatives and levels of significance are associated with this term. The Initiative Platform MaterialDigital (PMD), for example, aims to create a material data space filled with semantically linked data. The concept envisages that semantic relationships between the data are described as ontologies and that processing of data takes place via automated data pipelines. Various research projects from all areas of materials science are working on the implementation of this concept based on specific use cases. In the project presented here, the use case is the development of multilayer ferrite inductors as passive microelectronic components. The inductors are fabricated by ceramic multilayer technology and co-firing of metallized tapes of NiCuZn ferrite and a dielectric base material. Investigations focus on the effects of fabrication technology on the permeability of the ferrite. A data pipeline is introduced that automatically processes the unstructured experimental data into structured, machine-readable and semantically linked data. The concrete implementation of the data pipeline and a domain ontology is presented using examples. Challenges and advantages are discussed.
Bias Identification Approaches for Model Updating of Simulation-based Digital Twins of Bridges
(2024)
Simulation-based digital twins of bridges have the potential not only to serve as monitoring devices of the current state of the structure but also to generate new knowledge through physical predictions that allow for better-informed decision-making. For an accurate representation of the bridge, the underlying models must be tuned to reproduce the real system. The updated model can be eventually used for the extension of the service life of the bridge based on an accurate description of the structure. Nevertheless, the necessary assumptions and simplifications in these models irremediably introduce discrepancies between measurements and model response. We will prove that quantifying the extent of the uncertainties generated by said discrepancies provides a better understanding of the real system, enhances the model updating process, and creates more robust and trustworthy digital twins. Among others, we identify that the inclusion of the explicit bias term through a Bayesian inference framework corrects the tuned parameters, allows the identification of non-prescribed noise sources and enables the introduction of additional information in the system without modifying the simulation model. The performance of selected model bias identification approaches will be compared in the context of digital twins of bridges. The different methods will be applied to a representative demonstrator case based on the Nibelungenbrücke of Worms. The findings from this work are englobed in the initiative SPP 100+, whose main aim is the extension of the service life of structures through monitorization and digitalization, especially through the implementation of digital twins.
The changes in the use and maintenance of track systems poses new challenges for the periodic mechanized in-service testing of rails using ultrasound and eddy current. The methods currently applied have been used since decades with only minor changes. To face the new challenges generated by modern drive systems, higher speeds, heavier loads adapted techniques have to be developed to detect new defect types and artefacts generated by new production methods. Especially the area where rolling contact fatigue takes place is under focus.
Going beyond the standard conventional ultrasound setups used since the 1950 enables a more detailed detection and classification of rail defects and size estimation. Eddy current methods are applied for surface crack detection and head check depth quantification at the gauge corner of railway tracks. An extension of the tested zone to the running surface uncloses rail defect signal types other than head checks to be detected and estimated in type and size.
For the automated evaluation of the recorded data algorithms based on artificial intelligence being trained based on simulation will be applied. Typically, the testing parameter vary depending on the track condition and the probe wear. To identify variables and parameters which have a significant influence on the overall performance of the test run modelling of the setup can be used.
Actual developments will be presented in this talk
Die mechanisierte zerstörungsfreie Prüfung von Eisenbahnschienen auf betriebsbedingte Schädigungen wird mit Schienenprüfzügen mittels Ultraschall- und Wirbelstromprüfverfahren durchgeführt. Die Auswertung der Prüfdaten erfolgt durch Auswerter, die Überprüfung der Ergebnisse erfolgt am identifizierten Schienensegment vor Ort mittels handgeführter Prüfgeräte. Instandhaltungsmaßnahmen werden anschließend auf Basis der Befundung der zerstörungsfreien Prüfung abgeleitet. Im Rahmen eines vom BMVI geförderten Verbundvorhabens im Programm „Digitale, datenbasierte Innovationen und Ideen für die Mobilität 4.0“ (mFUND) soll dieses Konzept modernisiert und weiterentwickelt werden.
Ziele des Vorhabens AIFRI (Artificial Intelligence For Rail Inspection) sind es, durch den Einsatz von KI-Methoden den Automatisierungsgrad des Prüfprozesses zu erweitern, die Genauigkeit der Fehlerdetektion zu erhöhen und eine automatisierte Einstufung der aufgefundenen Anzeigen in Risikoklassen zu ermöglichen. Weiterhin wird auf dieser Basis ein risikobasiertes Instandhaltungskonzept erarbeitet, welches zukünftig das bisherige präventive Vorgehen ablösen kann.
Im Rahmen des IT-orientierten Projektes werden relevante Schienenschädigungen und in der Schiene vorhandene Artefakte analysiert und in skalierbare Modelle übertragen. Mit diesen Modellen werden virtuelle Schädigungsbilder generiert, mit denen KI-Algorithmen auf die Defekterkennung und -klassifizierung trainiert werden. Mit Hilfe von Zuverlässigkeitsbetrachtungen werden die entwickelten und trainierten Algorithmen hinsichtlich der Detektion und Charakterisierung von Schienenschädigungen bewertet.
Im Verlauf des Projektes wird mit dem entwickelten IT-Werkzeug ein Demonstrator aufgebaut und im Feld mit realen Datensätzen getestet.
Das Projekt wird durch das Bundesministerium für Verkehr und digitale Infrastruktur (BMVI) im Rahmen von mFund unter dem Förderkennzeichen 19FS2014 gefördert.
Aktuelles aus der Normung
(2024)
The creation and use of Digital Twins of existing structures, such as bridges, implies precise digital replicas that accurately mirror their physical counterparts. Ensuring the trustworthiness of Digital Twins and facilitating informed decision-making necessitates a robust approach to Uncertainty Quantification (UQ). A suitable model-updating scheme is key in preserving the quality and robustness of simulation-based Digital Twins. Model bias, stemming from discrepancies between computational models and real-world systems, poses a significant challenge in achieving this goal. This study delves into the challenges posed by model bias within Bayesian updating of Digital Twins of bridges. Two alternative model bias identification methods —a modularized version of Kennedy and O’Hagan’s approach and another one based on Orthogonal Gaussian Processes — are evaluated in comparison with the classical Bayesian inference framework. A key innovation lies in the modification of the aforementioned approaches to incorporate additional information into the Digital Twin framework via the bias term. This enables the extension of the model non-intrusively, leveraging large pools of data inherent in Digital Twins. The study showcases the potential of this approach to correct predictions, quantify uncertainties, and enhance the system with previously untapped information. This underscores the importance of everaging available data within Digital Twins to identify deficiencies and guide potential future model improvements.
The RILEM TC 304-ADC has set up a large interlaboratory study on the mechanical properties of 3D printed concrete (ILS-mech). The study was prepared in 2022 by a preparation group leading to a Study Plan which the TC approved on 29 November 2022 (https://doi.org/10.14459/2023mp1705940). The ILS-mech was performed in 2023. The data was collected using a pre-prepared spreadsheet template. For data management, a database was derived and set-up in openBIS. The underlying Postgres database of openBIS was exported to the here-published SQLite database for sharing without maintaining a server. The structure of the database is described in (doi). The results are discussed in three associated papers focusing on the overall outcomes and evaluation of the procedures (doi), the compressive test results (doi), and the tensile test results (doi).
Optimization Framework for Powder Bed 3D Printed Concrete Structures under Various Constraints
(2024)
The fusion of 3D printing with concrete has transformed large scale construction, accelerating creative design possibilities. In recent years, multiple printing techniques have been developed and are still under investigation. The powder bed technique enables overhang constructions, thereby increasing design flexibility. To maximize the advantages of those printing techniques, a holistic approach is required taking topology optimization through finite element analysis into account. The challenge is to consider a range of constraints, from material to geometrical to manufacturing.
The current research focuses on the development of a holistic approach to large-scale 3D powder bed printed concrete structure optimization, navigating the in-tricacies of constraints, leveraging the advantages of powder-based printers, and integrating essential information from material tests. A workflow starting from geometry input and ending with printing instructions is derived, minimizing user interaction, and offering fast and reliable results for different structures. Starting from a geometric model of the global design with the required load cases, the geometry is optimized with respect to reduce the mass and thus CO2 emissions. Thereby, the topology optimization includes various constraints: stress con-straints (mitigating tension and limit compressive stress using Drucker-Prager based models), geometric constraints (preserving specific surfaces from optimi-zation), and manufacturing constraints (controlling member size and avoiding trapped powder). Different objective functions, like minimizing compliance or mass are considered in this study. The process receives input from upstream ma-terial tests, offering insights into strength, stiffness and possible anisotropy. This integration of material testing enhances the accuracy and reliability of the opti-mization, aligning the design with real-world behavior of 3D printed concrete. An important aspect of the workflow is the segmentation of the optimized global structure into substructures, aligning with the size limitations of the 3D powder-bed printer. As final output of the developed workflow, printer specific fabrica-tion instructions are generated for each substructure. The developed optimization framework is demonstrated in the design of a multiperson shading element.
Every day, there are new headlines in the media about microplastics (1-1000 µm, ISO/TR 21960:2020) and nanoplastics (< 1 µm, ISO/TR 21960:2020) findings all over the planet with high variations in particle number and mass. The challenges in analytics are very complex, e.g. representative sampling, non-destructive sample preparation with concentrated particles and homogeneous distribution and true detection. All together lead to lacks in harmonization and results, which are hardly comparable. On the other hand, monitoring of microplastics is mandatory in the future strictly regulated by the EU commission in the Drinking water and Wastewater Framework Directive. One step to accurate and precise results will be the development of suitable reference materials mimicking particles in the environment.
BAM developed test materials, which are produced by mixing a small portion of microplastic particles with a water-soluble matrix. After solid phase dilution and homogenisation small portions are pressed into tablets and bottled in glass vials (Figure 1). These tablets are well characterized with particle size distribution and SEM images. Additionally, they are tested as reference material candidate according to homogeneity and stability for particle number with µ-IR and µ-Raman as well as on particle mass with Py-GC/MS and TED-GC/MS after ISO Guide 35. Results are promising. The material passed the homogeneity control. No changes are observed within 6 months of storage.
The same tested reference material is finally used in sample preparation experiments, where environmental suspended particular matter from surface water or baby milk powders are spiked with the tablets.
Over the last 20 years, many researchers, politicians and citizens have become increasingly aware of the growing plastic problem of our time. A lack of recycling concepts and plastic collection points as well as careless dumping lead to accumulation of plastic products in the environment. Natural weathering can cause these plastics to degrade and fractionate, meaning that microplastics (1 1,000 µm, ISO/TR 21960:2020) and nanoplastics (< 1 µm, ISO/TR 21960:2020) of various synthetic polymer materials can now be detected in all parts of the world. Whether microplastics or nanoplastics pose a toxicological hazard is being investigated in a variety of ways. Valid results are still pending. However, the EU precautionary principle applies to micro- and nanoplastics. Monitoring of microplastics is already required in the revision of the Drinking Water and Wastewater Framework Directive.
Reliable monitoring of rivers can be carried out by sampling with sedimentation boxes and microplastic detection by using thermal extraction desorption gas chromatography/mass spectrometry (TED-GC/MS) in routine operation (Figure 1). The river Rhine was sampled for microplastic masses at three different sampling locations over a period of one year and in addition the Danube at randomized sampling locations The TED-GC/MS results showed that various synthetic polymers frequently produced in industry, such as polyethylene, polypropylene or polystyrene as well as the tire compound styrene-butadiene rubber were found. The work not only shows a possible workflow for monitoring concepts, but also provides information on environmentally relevant concentrations of microplastics and tire components in surface waters. This in turn is necessary for ecotoxicological studies.
Microplastic determination in food and surface waters will be increasingly carried out in the course of future directives and regulations, such as EU drinking water directive and wastewater directive. In addition to unique identification, this also includes reliable quantification. Two different methodological approaches are used for the quantification. With vibrational spectroscopic techniques such as µ-FTIR and µ-Raman, results are obtained in the form of particle number, size and shape. Instead, with thermal analytical technics as TED-GC/MS and Py-GC-MS the results are expressed as mass concentration.. Both concepts offer different information variables. In terms of routine monitoring, it is necessary to obtain a rapid sequence from sampling to the detection result. For this reason, this study focuses on TED-GC/MS and Py-GC-MS. Even though thermal analytical methods generally require less sample preparation, some matrices require it. This is usually done if the analyte concentration is too low or if strong matrix effects such as signal suppression and false positive signals occur.
This talk presents advanced sample preparation for baby milk powder as food example and density separation for microplastic analysis in surface waters.
A preparation protocol based on citric acid was selected for the milk to remove as much as possible of the matrix. The low pH value leads to a fast and effective protein precipitation and minimizes filter cake formation, making filtration possible, reduces the number and the amount of compounds in detection and hence, simplifies the evaluation.
Microplastics in surface waters and sediments must be concentrated not only because of their low microplastics mass content but also in terms of homogeneity. For this purpose, a density separation was carried out using a concentrated sodium iodide solution, which led to a high reduction of the inorganic mineral matrix and made possible to obtain a representative subsample of initial masses of up to 80 g.
Die Gruppe der PFAS (Per- und polyfluorierte Alkylsubstanzen) mit mehr als 10.000 Substanzen stellt ein zunehmendes Problem bei der Bewertung und Entsorgung belasteter Abfälle dar. Die zuverlässige PFAS-Analytik stellt hier aufgrund der Vielzahl an Einzelparametern mit zum Teil sehr großen Konzentrationsunterschieden eine komplexe Herausforderung dar.
Der Vortrag gibt zunächst einen Überblick über grundlegende Anforderungen an die LC-MS/MS Analytik von PFAS-Targetsubstanzen. Am Beispiel eines von BAM und SenMVKU organisierten Ringversuches 2024 zur Bestimmung von PFAS in Bodenproben (Feststoffe und Eluate) wird auf spezifische Fragestellungen zur PFAS-Analytik eingegangen.
Zur Verbesserung von Richtigkeit und Vergleichbarkeit ist die Einhaltung von Normvorgaben und die Anwendung von Qualitätssicherungsmaßnahmen unerlässlich. Hierzu gehören u.a. die Verwendung zuverlässiger Kalibrierstandards, die Kalibrierung mit definierten n-Isomeren, die Quantifizierung der Summe aus n-/br-Isomeren, der Einsatz isotopenmarkierter interner Standards für die LC-MS/MS Analyse, die Verwendung von Matrix-Referenzmaterialien sowie die Teilnahme an Ringversuchen.
In September 2023, the European Commission introduced a new regulation to
reduce microplastic (MP) emissions into the environment, including the sale and
use of intentionally added (large) MP < 5 mm (ISO/TR 21960: 2020). This explicitly
applies to the use of synthetic rubber granulate infill in artificial turf installations,
which are complex multi-component systems consisting of multiple synthetic
polymers (Fig. 1). In addition, abrasions of synthetic grass fibres and other turf
components are also considered as MP sources. Although this has a major impact
on public recreational sports, there is so far no sufficient data to estimate the MP
emissions from artificial turf sports pitches into the environment and thus their
relevance as a source of MP pollution.
To close this gap, this study compared environmental contaminant emissions of
three artificial turf scenarios at different ageing states (unaged, artificially and
real-time aged): the past (old turf: fossil based, synthetic infill), present (most
commonly installed in Germany: fossil based, EPDM infill) and future (turf with
recycled grass fibres, no synthetic infill). Accelerated ageing by UV weathering and
mechanical stress was carried out to simulate the outdoor weathering during the
lifespan of approx. 15 years. MP emissions and released environmentally relevant
contaminants posing a risk to the groundwater were simultaneously sampled using
the newly developed Microplastic Eluate Lysimeter manufactured at BAM (Fig. 2).
MP contents were analysed using smart microfilter crucibles (mesh size: 5 μm)
with subsequent MP detection by TED-GC/MS. Additionally, concentrations of
polycyclic aromatic hydrocarbons were determined using GC/MS and heavy metals
using ICP-AES.
The uncontrolled Li dissolution/deposition dynamics and rapid Li pulverizations hinder the widespread deployment of Li metal batteries (LMB). Designing a Li composite electrode possessing a mechanically robust and lithiophilic three-dimensional (3D) framework represents a promising strategy to address these challenges. This study involves the preparation of three uniquely tailored Li-B-Mg composites using a combined metallurgical process of melting, casting, and rolling, along with the synergistic application of in situ X-ray computed tomography (CT) and post-mortem failure analysis to explore the most promising composite electrode candidate for LMBs. During the in-depth investigation, the optimal 70Li-B-Mg composite electrode stands out due to its robust skeleton fiber structure, uniform Li dissolution/deposition characteristics and high capacity of free-Li. Its promising prospects for enabling high-performance LMBs are showcased by the superior performance of the built Li||O2, Li||LiFePO4, Li||NCM622 and Li||NCM811 battery systems. This work offers a novel approach for exploring universally applicable and robust Li composite electrodes to realize high-performance LMBs using in situ CT analysis.
Since they were first discovered, antibiotics have been used extensively to treat diseases caused by bacteria. This increasing and uncontrollable use is causing a number of environmental problems. Unfortunately, traces of various antibiotics can be found in drinking water also in wastewater.
In this study was focused on the detection of clarithromycin (CLA) in wastewater using the immunofluorescence ELISA assay which is a highly selective and sensitive technique. ELISA is a multi-type of technique and the one used in this study was the indirect competitive ELISA. For the detection of CLA, a checkerboard was performed to obtain a dilution factor until 1:1,000,000 for the antigen (CLA-BSA) with a concentration of 5 ng/mL and a dilution factor until 1:5,120,00 for the primary antibody (anti-CLA mAb) with a concentration of 1. 035 ng/mL. Standardization was performed to obtain a better profile of the 4-parameter curve A, B, C and D which determines the maximum, minimum and inflection concentration. In addition, a pure synthetic water experiment was used to determine the stability of the assay and the matrix effect due to some interactions from chemicals or components used during the assays.
The detection of CLA in pure water in Germany showed that the concentration of CLA differs from province to province and differs from time of year, however, the commonly detected concentration of CLA in pure water was ng/L.
AbstractA prerequisite for the recycling of mineral wool is information about the type of material, that is, whether it is glass wool or rock wool. As mineral wool produced before the year 2000 can be potentially carcinogenic, it is furthermore important to distinguish between “old” and “new” wool when handling the material. Based on VDI 3492, it is possible to determine the material and, in the case of rock wool, the age by analyzing the mass fractions of eight oxides, which are the main components of mineral wool. This study presents the X‐ray fluorescence (XRF) analyses of 141 man‐made mineral fibers collected in Germany. Only in a few cases it was not possible to clearly assign the material type. In contrast, the identification of “old” and “new” rock wool posed a challenge as there were many borderline samples. Based on the available data, a chemometric model was developed that can classify “old” and “new” RW with a sensitivity of 93% and 89% and with a specificity of 100% in both cases. However, care must be taken when oxide contents are close to the specification limits. The reason for this mainly lies in the overlapping intervals of key oxides as suggested by VDI 3492, and, to a lesser extent, in the uncertainties typically occurring in the XRF‐based analysis of oxides. With this study, a comprehensive collection and evaluation of XRF data on mineral wool is made available, which can serve as a reference database for future users.