TY - CONF A1 - Wilke, Olaf T1 - PTR-MS as a tool for the determination of formaldehyde, ammonia and volatile organic sulfur compounds together with VOC N2 - The use of proton-transfer-reaction mass spectrometry (PTR-MS) for the determination of formaldehyde, ammonia and volatile sulfur organic compounds is described and suggestions are made for the application of stationary PTR-MS in a test laboratory. One advantage of PTR-MS compared to TD-GC-MS (thermal desorption gas chromatography mass spectrome-try) is the faster online measurement. Another advantage is the simultaneous determination of formaldehyde, ammonia, very volatile organic compounds (VVOC) and volatile organic com-pounds (VOC) which normally needs four different kinds of sampling. Coupling the PTR-MS with (multiple) air sample canisters or (multiple) emission test chambers would enable a quick analysis of indoor air and material emissions. T2 - Indoor Air Conference 2024 CY - Honolulu, HI, USA DA - 07.07.2024 KW - Proton-transfer-reaction mass spectrometry PY - 2024 AN - OPUS4-60746 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Liehr, Sascha T1 - ANNforPAT - Artificial Neural Networks for Process Analytical Technology N2 - This code accompanies the paper "Artificial neural networks for quantitative online NMR spectroscopy" published in Analytical and Bioanalytical Chemistry (2020). KW - Artificial neural networks KW - Automation KW - Online NMR spectroscopy KW - Process industry KW - Real-time process monitoring PY - 2020 UR - https://github.com/BAMresearch/ANNforPAT PB - GitHub CY - San Francisco AN - OPUS4-54481 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Balderas-Xicohtencatl, R. A1 - Villajos Collado, José Antonio A1 - Casabán, J. A1 - Wong, D. A1 - Maiwald, Michael A1 - Hirscher, M. T1 - ZIF‑8 Pellets as a Robust Material for Hydrogen Cryo-Adsorption Tanks N2 - Cryoadsorption on the inner surface of porous materials is a promising solution for safe, fast, and reversible hydrogen storage. Within the class of highly porous metal−organic frameworks, zeolitic imidazolate frameworks (ZIFs) show high thermal, chemical, and mechanical stability. In this study, we selected ZIF-8 synthesized mechanochemically by twin-screw extrusion as powder and pellets. The hydrogen storage capacity at 77 K and up to 100 bar has been analyzed in two laboratories applying three different measurement setups showing a high reproducibility. Pelletizing ZIF-8 increases the packing density close to the corresponding value for a single crystal without loss of porosity, resulting in an improved volumetric hydrogen storage capacity close to the upper limit for a single crystal. The high volumetric uptake combined with a low and constant heat of adsorption provides ca. 31 g of usable hydrogen per liter of pellet assuming a temperature−pressure swing adsorption process between 77 K − 100 bar and 117 K − 5 bar. Cycling experiments do not indicate any degradation in storage capacity. The excellent stability during preparation, handling, and operation of ZIF-8 pellets demonstrates its potential as a robust adsorbent material for technical application in pilot- and full-scale adsorption vessel prototypes. KW - Hydrogen adsorption storage KW - Metal−organic frameworks KW - ZIF-8 KW - Cryoadsorption KW - Hydrogen Storage KW - MefHySto PY - 2023 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-569473 DO - https://doi.org/10.1021/acsaem.2c03719 SN - 2574-0962 SP - 1 EP - 8 PB - ACS Publications CY - Washington DC AN - OPUS4-56947 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Tuma, Dirk A1 - Moreau, A. A1 - Polishuk, I. A1 - Segovia, J. J. A1 - Vega-Maza, D. A1 - Martín, M. C. T1 - Measurements and predictions of densities and viscosities in CO2 + hydrocarbon mixtures at high pressures and temperatures: CO2 + n-pentane and CO2 + n-hexane blends N2 - This work reports new experimental data on densities and viscosities of (CO2 + n-pentane) and (CO2 + n-hexane) mixtures at high pressures and temperatures. The densities were measured by a vibrating-tube densimeter with an expanded uncertainty (k = 2) smaller than 1.8 kg/m3 at six isotherms (from 273.15 K to 373.15 K), twelve pressures starting at 5 MPa up to 100 MPa, and at six CO2 molar compositions (from 0 to 0.6). The viscosities were measured by a vibrating-wire viscometer with the corresponding relative expanded uncertainty (k = 2) smaller than 0.016 at five isotherms (from 273.15 K to 373.15 K), twelve pressures (from 5 MPa up to 100 MPa), and at two CO2 molar compositions (0.1 and 0.3). The densities were fitted by the semiempirical Tammann-Tait equation for density data and the Vogel-Fulcher-Tammann (VFT) equation for viscosity data, respectively. The Groupe Européen de Recherches Gazières (GERG-2008) equation of state was also applied for modelling the densities. Over-all robustness and reliability of the Perturbed-Chain Statistical Association Fluid Theory (PC-SAFT) and its critical point-based modification (CP-PC-SAFT) were examined. Accuracies of the Modified Yarranton-Satyro (MYS) coupled with CP-PC-SAFT and the NIST Reference Fluid Thermodynamic and Transport Properties Database (REFPROP 10) in predicting the viscosities were evaluated. KW - CO2 + n-alkanes KW - thermophysical properties KW - Perturbed-Chain Statistical Association Fluid Theory PY - 2022 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-555728 DO - https://doi.org/10.1016/j.molliq.2022.119518 SN - 0167-7322 VL - 360 SP - 1 EP - 15 PB - Elsevier CY - Amsterdam AN - OPUS4-55572 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - RPRT ED - Tuma, Dirk ED - Weide, T. ED - Rasmusson, H. T1 - MefHySto - Metrology for advanced hydrogen storage solutions N2 - The “Metrology for Advanced Hydrogen Storage Solutions” (MefHySto) project is a European initiative addressing the need for large-scale energy storage solutions, that is crucial for the successful transition to renewable energy sources. The main objective of this project was to develop and provide metrological standards and validated techniques for the storage and utilization of hydrogen. Hydrogen is increasingly recognized as an important component in the future energy system due to its ability to store and supply energy during peak demand periods when renewable sources, such as solar and wind, are not generating power. KW - Water electrolysis KW - Thermophysical properties KW - Fuel cell KW - Hydrogen storage PY - 2023 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-625952 DO - https://doi.org/10.5281/zenodo.12684898 SP - 1 EP - 40 PB - ERIG European Research Institute for Gas and Energy Innovation a.i.s.b.l. CY - Bruxelles AN - OPUS4-62595 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - RPRT A1 - Klinke, A. A1 - Horn, Wolfgang A1 - Kalbe, Ute A1 - Mönig, J. A1 - Richter, Matthias A1 - Roswag-Klinge, E. A1 - Röhlen, U. A1 - Ziegert, C. T1 - Upcycling mineralischer Bau- und Abbruchabfälle (upMIN 100) N2 - Der Bausektor ist einer der ressourcenintensivsten Sektoren in Deutschland und ist für 40 % der CO2-Emissionen verantwortlich. Für den Bau von Gebäuden werden in Deutschland jährlich rund 517 Millionen Tonnen mineralische Rohstoffe benötigt. Gleichzeitig stellen mineralische Bauabfälle mit 229,3 Millionen Tonnen (2020) den größten Stoffstrom dar. Die Quoten des Baustoffrecyclings sind seit 2000 gestiegen, insbesondere bei mineralischen Abfällen. Dennoch wird der Großteil der recycelten Gesteinskörnungen in technisch weitgehend ungeregelten Anwendungen (z.B. Straßenbau) eingesetzt. Durch dieses Downcycling gehen wertvolle Ressourcen für technisch und wirtschaftlich wertvolle Anwendungen verloren. Das Forschungsprojekt upMIN100 geht der Frage nach, ob und inwieweit sich rezyklierte mineralische Bau- und Abbruchabfälle als Zusatzstoff in Lehmbaustoffen wie Lehmputzen und Lehmsteinen eignen. Der Fokus liegt dabei auf der Korngröße < 2 mm, die derzeit überwiegend deponiert wird, da es derzeit keine Vorschriften für den Einsatz in Bauprodukten gibt. Um den Einsatz von Bau- und Abbruchabfällen zu ermöglichen, müssen die technische Machbarkeit sichergestellt, Qualitätsanforderungen an die Ausgangsmaterialien (z.B. Grenzwerte für gesundheits- und umweltrelevante Schadstoffe und gefährliche Substanzen) und zulässige Anteile an rezyklierten Gesteinskörnungen definiert werden. Um negative Auswirkungen auf die Gebäudenutzer zu vermeiden, wurden die entwickelten Baumaterialien auf die in den mineralischen Abfällen enthaltenen Schadstoffe sowie auf Emissionen in die Innenraumluft geprüft. Außerdem sollen die aus mineralischen Abfällen hergestellten Lehmbauprodukte frei von Schadstoffen sein, um eine Rückführung in die Umwelt zu ermöglichen. Nach der Ersatzbaustoffverordnung (EBV) entspricht dies dem Kriterium BM-0. KW - Mineralische Baustoffe KW - Baustoffrecycling KW - Lehmbaustoffe PY - 2024 SN - 1868-0097 SP - 1 EP - 150 AN - OPUS4-61820 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Safarov, J. A1 - Tuma, Dirk A1 - Müller, K. T1 - Thermophysical properties of the paramagnetic ionic liquid 1-butyl-3-methylimidazolium tetrachloroferrate over an extended range of temperature and pressure N2 - The paramagnetic ionic liquid 1-butyl-3-methylimidazolium tetrachloroferrate [BMIM][FeCl4] was subject to multiple high-precision thermophysical property measurements under both ambient and high pressure. Density rho(p0,T) / kg m-3 and speed of sound u(p0,T) / m s-1 data at ambient pressure were recorded at temperatures T = (278.15 to 343.16) K using a DSA 5000 M combined vibrating tube densimeter and speed of sound analyser with a standard uncertainty of delta rho(p0,T) = ±0.001 kg m-3 and delta u(p0,T) = ±0.1 m s-1, respectively. High-pressure volumetric (p,rho,T) data were measured on an Anton Paar DMA HPM vibrating tube densimeter at T = (273.16 to 413.15) K and at pressures up to p = 140 MPa with an estimated experimental relative combined average percentage deviation (APD) of delta rho(p,T) / rho(p,T) = ±(0.01 to 0.08) %. The specific isobaric heat capacity cp(p0,T) / J kg-1 K-1, a caloric property, was determined at T = (273.15 to 413.15) K with an uncertainty delta cp / cp = ±0.5 % using a Perkin Elmer Pyris 1 DSC differential scanning calorimeter. To gain knowledge of transport properties, the dynamic viscosity eta(p0,T) / mPa s at ambient pressure was recorded at T = (275.03 to 413.18) K by an Anton Paar SVM 3000 Stabinger viscometer and additionally an Anton Paar rheometer MCR 302 device with uncertainties of delta eta / eta = ±0.35 % and delta eta / eta = ±1 %, respectively. The obtained data were first correlated by empirical polynomial equations of state and further processed by the application of classic thermodynamic potentials to determine isothermal compressibility kappa T(p,T) / MPa-1, isobaric thermal expansivity alpha p(p,T) / K-1, thermal pressure coefficient gamma(p,T) / MPa K-1, internal pressure pint(p,T) / MPa, specific heat capacity at constant pressure cp(p,T) / J kg-1 K-1 and at constant volume cv(p,T) / J kg-1 K-1, the difference of isobaric and isochoric heat capacity (cp–cv)(p,T) / J kg-1 K-1, speed of sound u(p,T) / m s-1 and ultimately isentropic exponent kappa s(p,T). This work extends knowledge about the thermophysical properties of [BMIM][FeCl4] particularly to high temperatures and pressures. KW - Ionic liquid KW - Volumetric properties KW - Transport properties KW - Caloric properties PY - 2022 DO - https://doi.org/10.1016/j.molliq.2021.117939 SN - 0167-7322 VL - 346 SP - 1 EP - 16 PB - Elsevier CY - Amsterdam AN - OPUS4-54228 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - RPRT A1 - von Preetzmann, N. A1 - Eckmann, P. A1 - Tuma, Dirk A1 - Richter, M. T1 - Thermodynamics of LNG N2 - Densities of eight gravimetrically prepared ternary and quaternary gas mixtures consisting of methane, ethane, propane, and partially nitrogen were investigated along the four isotherms of –250, –230, –210, and –190 °F at pressures of 350, 500, 650, and 1000 psig using a cryogenic single-sinker densimeter. The experimental densities were compared to densities calculated by various models, namely the EOS-LNG fundamental Helmholtz equation of state, the COSTALD correlation, the Lee-Kessler-Plöcker equation of state, and the Peng-Robinson equation of state. The best performance was shown by the EOS-LNG equation of state which is capable of predicting the liquid densities within the specified uncertainty of the model of 0.05 %. The other models, however, showed significant differences that disqualify for calculation within the p,T-region investigated of the gas mixtures. KW - Density measurement KW - Liquefied natural gas-like mixtures KW - Cryogenic state KW - Single-sinker densimeter KW - Equations of state PY - 2020 SP - 1 EP - 55 AN - OPUS4-50741 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Tuma, Dirk A1 - Shafi, P. M. A1 - Mohapatra, D. A1 - Reddy, V. P. A1 - Dhakal, G. A1 - Kumar, D. R. A1 - Brousse, T. A1 - Shim, J.-J. T1 - Sr- and Fe-substituted LaMnO3 Perovskite: Fundamental insight and possible use in asymmetric hybrid supercapacitor N2 - The symmetry or structural stability of ABO3-type perovskite oxides depends largely on the size of ‘A’ and ‘B’ cations, which determines the material properties. The partial substitution of these cations may be used to tune these properties. The ionic sizes and valence states of the cations play an important role in improving the prop- erties of perovskite. In this study, the substitution of La3+ with Sr2+ with a larger ionic radius and Mn3+ with Fe3+ with a similar ionic radius favored both the crystal symmetry and the mixed ionic–electronic conductivity of the perovskite. Electrodes based on La0.7Sr0.3Mn0.5Fe0.5O3 (LSMFO55) exhibited a faradaic behavior with a specific capacity of 330 C g−1 (92 mAh g−1 ) at 12C rate, while this electrode maintained a capacity of 259 C g−1 at 240C (charge or discharge in 15 s). Additionally, exohedral carbon nano-onions (CNO) were introduced as a negative electrode to design an asymmetric hybrid supercapacitor (AHS) with a widened cell voltage. The use of CNO as a negative electrode in the AHS improved the rate capability drastically compared to the use of rGO. This device maintained a good energy density even at an extra-high charging rate (600C) owing to its outstanding rate capability. The high-rate performance of the LSMFO55//CNO AHS can be elucidated by successful fabrication with a mixed ionic–electronic conductive positive electrode and a CNO negative electrode. Tuning the electronic and ionic conductivities by cationic substitution and adopting an appropriate carbon-derived negative electrode (such as CNO) can provide a practical high-rate hybrid device using various perovskites. KW - Perovskite KW - Carbon nano-onion KW - Supercapacitor PY - 2022 DO - https://doi.org/10.1016/j.ensm.2021.11.028 SN - 2405-8297 VL - 45 SP - 119 EP - 129 PB - Elsevier B. V. CY - Amsterdam AN - OPUS4-54882 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Eshetie Kidie, A. A1 - Dhakal, G. A1 - Sahoo, S. A1 - Tuma, Dirk A1 - Shim, J.-J. T1 - Interlayer spacing-controlled carnation flower-like microstructure of nickel-manganese layered double hydroxide for enhancing hybrid supercapacitor performance N2 - Energy harvested from intermittent sources can be stored in supercapacitors for high-power delivery with long cycling stability. Binary layered double hydroxide (LDH) materials have great potential for hybrid supercapacitor applications owing to their mixed and tunable charges and layered structure. This study presents carnation flower-like, 3D micro-structured NiMn-LDH prepared by a facile single-step hydrothermal synthesis using hexamethylenetetramine to produce hydroxides. The 3D structure was assembled from ultrathin 2D NiMn-LDH nanosheets, and the largest interlayer spacing was obtained by optimizing synthesis parameters, such as Ni:Mn molar ratio and reaction temperature, ensuring a fast diffusion and thus the best energy storage performance. The optimized NiMn-LDH electrode delivered a high specific capacity of 612 C/g with an excellent rate capability of 67% at 20 A/g in a three-electrode test. An asymmetric device assembled using NiMn-LDH and reduced graphene oxide as positive and negative electrodes provided a high energy density of 60.0 Wh/kg and power density of 17.7 kW/kg with 90.4% capacity retention after 10,000 charge–discharge cycles. This superior result highlights the potential industrial applications, such as portable electronics and trams. KW - Supercapacitor KW - Hydrothermal synthesis KW - Interlayer spacing PY - 2024 DO - https://doi.org/10.1016/j.jiec.2023.12.032 SN - 1226-086X VL - 133 SP - 550 EP - 560 PB - Elsevier BV CY - Amsterdam AN - OPUS4-60472 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Horn, Wolfgang A1 - Wilke, Olaf A1 - Richter, Matthias T1 - Round robin tests of odour and VOC emissions from building products – What have we learned so far? N2 - Emission testing of volatile organic compounds (VOC) and odour from materials and products is commonly based on emission test chamber measurements. These measurements are often the basis of mandatory or voluntary labelling procedures. To ensure the comparability of results from different testing laboratories their performance must be verified. For this purpose, round robin tests (RRTs) are conducted. Bundesanstalt für Materialforschung und - prüfung (BAM) offers such a RRT every two years using well characterised test materials with defined VOC emissions. In addition to the VOC quantification, the evaluation of odour is also implemented in the round robin tests. At the beginning, only perceived intensity (PI) was tested but over the years also the acceptance evaluation was considered. In principle, the results of PI and acceptance evaluation are comparable. The advantage of PI is the lower number of panel members necessary for one evaluation. T2 - Healthy Buildings 2023 Europe CY - Aachen, Germany DA - 11.06.2023 KW - Perceived intensity KW - VOC-emission KW - Poficiency test KW - Chamber test KW - Odour PY - 2023 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-580001 SP - 434 EP - 436 PB - ISIAQ (International Society of Indoor Air Quality and Climate) CY - Herndon, VA, USA AN - OPUS4-58000 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Wander, Lukas A1 - Vianello, A. A1 - Vollertsen, J. A1 - Westad, F. A1 - Braun, Ulrike A1 - Paul, Andrea T1 - Exploratory analysis of hyperspectral FTIR data obtained from environmental microplastics samples N2 - Hyperspectral imaging of environmental samples with infrared microscopes is one of the preferred methods to find and characterize microplastics. Particles can be quantified in terms of number, size and size distribution. Their shape can be studied and the substances can be identified. Interpretation of the collected spectra is a typical problem encountered during the analysis. The image datasets are large and contain spectra of countless particles of natural and synthetic origin. To supplement existing Analysis pipelines, exploratory multivariate data analysis was tested on two independent datasets. Dimensionality reduction with principal component analysis (PCA) and uniform manifold approximation and projection (UMAP) was used as a core concept. It allowed for improved visual accessibility of the data and created a chemical two-dimensional image of the sample. Spectra belonging to particles could be separated from blank spectra, reducing the amount of data significantly. Selected spectra were further studied, also applying PCA and UMAP. Groups of similar spectra were identified by cluster analysis using k-means, density based, and interactive manual clustering. Most clusters could be assigned to chemical species based on reference spectra. While the results support findings obtained with a ‘targeted analysis’ based on automated library search, exploratory analysis points the attention towards the group of unidientified spectra that remained and are otherwise easily overlooked. KW - Microplastics KW - FTIR KW - Exploratory analysis PY - 2020 DO - https://doi.org/10.1039/c9ay02483b VL - 12 IS - 6 SP - 781 EP - 791 PB - Royal Society of Chemistry AN - OPUS4-50396 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Maiwald, Michael T1 - Impulse zur Nutzung smarter Sensoren und Aktoren - Aktuelle Aktivitäten und Anwendungsbeispiele N2 - Eine der vielen Vorzüge smarter Sensoren und Aktoren ist die Bereitstellung zusätzlicher Informationen, auf die zukünftig neben bereits verwendeten Signalen zugegriffen werden kann. In verschiedenen Arbeitskreisen wird dieser Themenbereich im wechselseitigen Austausch mit Geräte- und Softwareherstellern und Forschungseinrichtungen vorangetrieben. In diesem Beitrag wird der aktuelle Stand der Diskussionen anhand von Beispielen erläutert. KW - Smarter Sensor KW - Smarter Aktor KW - Digitale Transformation KW - Prozessindustrie KW - NAMUR PY - 2020 DO - https://doi.org/10.17560/atp.v62i1-2.2468 SN - 2364-3137 VL - 62 IS - 1-2 SP - 72 EP - 79 PB - Vulkan-Verlag GmbH (Verlag) CY - Essen AN - OPUS4-50443 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Compact NMR Spectroscopy: A Versatile Tool for Automated Continuous-Flow Production of Chemicals and Pharmaceuticals N2 - Chemical companies must find new paths to successfully survive in a changing environment. The potential of digital technologies belongs to these. Flexible and modular chemical plants can produce various high-quality products using multi-purpose equipment with short down-times between campaigns and reduce time to market for new products. Intensified continuous production plants allow for difficult to produce compounds. Therefore, fully automated “chemical” process control along with real-time quality control are prerequisites to such concepts and thus should be based on “chemical” information. The advances of a fully automated NMR sensor were exploited, using a given pharmaceutical lithiation reaction as an example process within a modular pilot plant. A commercially available benchtop NMR spectrometer was integrated to the full requirements of an automated chemical production environment such as , e.g., explosion safety, field communication, and robust evaluation of sensor data. It was thereof used for direct loop advanced process control and real-time optimization of the process. NMR appeared as preeminent online analytical tool and allowed using a modular data analysis tool, which even served as reliable reference method for further PAT applications. Recently, AI procedures have also been successfully used for NMR data evaluation. In order to overcome the typical limitation of too small data sets from process developments, a new method was tested, which allows a physically motivated multiplication of the available reference data together with context information in order to obtain a sufficiently large data set for the training of machine learning algorithms. In future, such fully integrated and intelligently interconnecting “smart” systems and processes can speed up the high-quality production of specialty chemicals and pharmaceuticals. T2 - Compact NMR: Perspectives for (Bio)process Monitoring CY - Online meeting DA - 14.10.2020 KW - Process Industry KW - Real-time Process Monitoring KW - NMR Spectroscopy KW - Indirect Hard Modelling KW - Modular Production PY - 2020 AN - OPUS4-51430 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Aktuelles zur Technologie-Roadmap "Prozess-Sensoren 4.0" N2 - Die auf der NAMUR Hauptsitzung 2015 vorgestellte Technologie-Roadmap „Prozess-Sensoren 4.0“ zeigt die damaligen Anforderungen an Prozess-Sensoren sowie an deren Kommunikations-fähigkeiten auf. Wir berichten über die Umsetzungen der damaligen Ideen/Thesen aus heutiger Sicht und blicken nach vorn. T2 - Workshop NAMUR-Hauptsitzung 2020 CY - Online meeting DA - 05.11.2020 KW - Prozessindustrie KW - Technologie-Roadmap "Prozess-Sensoren 4.0" KW - NAMUR KW - Automation KW - Prozessanalytik KW - Sensoren PY - 2020 AN - OPUS4-51523 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Paul, Andrea T1 - Multivariate approaches in the evaluation of (hyper)spectral data for microplastics analysis - options and limitations N2 - Die zunehmende Anreicherung von Gewässern und Böden mit Plastikmüll führt zur Anhäufung von mikroskopisch kleinen Plastikpartikeln, sogenannter Mikroplastik (MP). Es werden dringend analytische Methoden benötigt, die helfen MP zu identifizieren und zu quantifizieren. Gegenwärtig kommen dafür hauptsächlich thermoanalytische und mikro¬skopische Verfahren, wie Mikro-Infrarotspektroskopie oder Mikro-Raman zum Einsatz. Letztere sind in der Regel an zeitaufwendige Probenanreicherungen und -aufbereitungen gebunden, es können nur kleine Probenmengen (Mikrogramm) untersucht werden und die Auswertung der erzielten Spektren kann anspruchsvoll sein. Im Rahmen dieser Präsentation werden zwei Ansätze vorgestellt, die über die multi-variate Analyse spektroskopischer Daten i) einen neuen methodischen Ansatz zum Screening von MP in belasteten Böden sowie ii) eine alternative Auswertung großer (Mikro)-spektroskopischer Datensätze ermöglichen. Zunächst wird ein NIR-spektroskopisches Verfahrens vorgestellt, das es gestattet MP bestehend aus Polyethylen, Polyethylenterephthalat, Polypropylen und Polystyrol im Bereich bis zu 0,5 Massenprozent zu detektieren. Aufgrund kurzer Messzeiten und robuster Technik besitzt dieser Ansatz das Potenzial, im Gegensatz zu den thermoanalytischen und mikrospektroskopischen Methoden, größere Probenmengen mit minimaler Vor¬behandlung zu untersuchen. Der zweite Ansatz befasst sich mit der Auswertung großen Datensätze, wie sie typischerweise als Resultat der Mikro-FTIR unter Nutzung moderner FPA-Detektoren erhalten werden. Die Mikro-FTIR-Technik beruht auf der spektralen Aufnahme, Abbildung und an¬schließenden Identifizierung von Schwingungsbanden, die für synthetische Polymere typisch sind. Die Bilddatensätze sind groß und enthalten Spektren von unzähligen Partikeln natürlichen und synthetischen Ursprungs. Zur Ergänzung bestehender Ansätze, die z.B. auf Recherchen von Spektren¬bibliotheken basieren, wurde die explorative multivariate Datenanalyse getestet. Als Kernkonzept wurde hierbei die Dimensionalitäts¬reduktion verwendet. Die Ergebnisse stellen nicht nur eine orthogonale Methode zur Kontrolle der Ergebnisse dar, die auf Grundlage einer automatisierten Bibliothekssuche erzielt wurden, sondern ergaben darüber hinaus eine Gruppe von Spektren, die nicht in den vorhandenen Spektrenbibliotheken erfasst wurden. N2 - The increasing enrichment of water bodies and soils with plastic waste leads to the accumulation of microscopic plastic particles, so-called microplastics (MP). There is an urgent need for analytical methods that help to identify and quantify MP. At present, mainly thermo-analytical and microscopic methods such as micro-infrared spectroscopy or micro-Raman are used for this purpose. The latter are usually tied to time-consuming sample enrichment and preparation, only small sample quantities (micrograms) can be examined and the evaluation of the obtained spectra can be demanding. In the context of this presentation, two approaches are presented which, via the multi-variate analysis of spectroscopic data, allow i) a new methodological approach to screening MP in contaminated soils and ii) an alternative evaluation of large (micro)-spectroscopic data sets. First, a NIR spectroscopic method is presented which allows MP consisting of polyethylene, polyethylene terephthalate, polypropylene and polystyrene to be detected in the range of up to 0.5 mass percent. Due to short measurement times and robust technology, this approach has the potential, in contrast to thermo-analytical and micro-spectroscopic methods, to examine larger sample quantities with minimal pre-treatment. The second approach deals with the evaluation of large data sets, as typically obtained as a result of micro-FTIR using modern FPA detectors. The micro-FTIR technique is based on the spectral recording, imaging and subsequent identification of vibration bands typical of synthetic polymers. The image data sets are large and contain spectra of numerous particles of natural and synthetic origin. Exploratory multivariate data analysis has been tested to complement existing approaches based on e.g. spectrum library searches. The core concept used was dimensionality reduction. The results not only represent an orthogonal method for checking the results obtained by an automated library search, but also revealed a group of spectra that were not recorded in the existing spectrum libraries. T2 - analytica conference 2020 CY - Online meeting DA - 19.10.2020 KW - Microplastics KW - Multivariate Datenanalyse KW - NIR KW - Hyperspectral data PY - 2020 AN - OPUS4-51516 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Interlaboratory comparison of benchtop NMR spectrometers – Purities at 200 and 10 mmol/L N2 - Due to its advantages of being a direct comparison method, quantitative NMR spectroscopy (qNMR) becomes more and more popular in industry. While conventional high-field NMR systems are often associated with high investment and operational costs, the upcoming market of permanent-magnet based benchtop NMR systems show a considerable option for a lot of applications. The mobility of these systems allows to bring them more closely to the real production environment, e.g. for at-line quality control. In this work we present an interlaboratory comparison study investigating the qNMR performance of state-of-the-art benchtop NMR spectrometers. Therefore, BAM prepared two samples of a mixture of NMR reference standards tetramethylbenzene (TMB) and tetrachloronitrobenzene (TCNB) at concentration levels of 200 mM and 10 mM. These “ready-to-use” samples were sent to participant laboratories, which performed analysis on their benchtop NMR equipment of different vendors and fields from 43 to 80 MHz. Raw data was reported back and further investigated by using different data analysis methods at BAM. After this very first qNMR comparison study of benchtop NMR spectrometers show promising results, following studies are planned to cover more parts of the qNMR process, e.g. sample preparation and weighing, but also data analysis, as commonly done in similar studies for high-field NMR spectroscopy in industry and metrology. T2 - The United States Pharmacopeial Convention (USP) Emerging Technologies Workshop & Roundtable CY - Online meeting DA - 17.11.2020 KW - Quantitative NMR Spectroscopy KW - QNMR KW - Purity KW - Interlaboratory Comparison KW - Low-field NMR Spectroscopy PY - 2020 UR - https://www.cvent.com/events/emerging-technologies-workshop-roundtable-quantitative-nmr-and-digital-data-applications-overview-an/event-summary-f128e4bfbedc48d6946f554ea719d6b1.aspx?dvce=1 AN - OPUS4-51526 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Paul, Andrea A1 - Broszies, T. A1 - Ostermann, Markus A1 - Vogdt, F.U. A1 - Maiwald, Michael T1 - Unterscheidung von Mineralwollen mit Nahinfrarot-Spektroskopie (NIRS) T1 - Differentiation of mineral wool by near-infrared spectroscopy (NIRS) N2 - Für die Rückführung von aus Rückbauprojekten anfallender künstlicher Mineralwolle in ihren Herstellungsprozess ist es notwendig, Stein- und Glaswolle zu unterscheiden und voneinander getrennt zu halten. Zu diesem Zweck wurde das Potential von NIR-Spektroskopie (NIRS) für einen werks- oder baustellenseitigen Einsatz getestet. NIRS wird aufgrund kurzer Messzeiten, minimaler Probenvorbereitung und hoher Robustheit der Spektrometer häufig in der Prozessanalytik eingesetzt. Untersucht wurden 70 verschiedene Mineralwollen, wobei sich der Probenumfang sowohl aus werksneuen Proben mit Herstellerangaben als auch unbekannten Proben ohne Spezifikation zusammensetzen, die auf verschiedenen Baustellen in den Jahren 2016–2017 entnommen oder von Deponien zur Verfügung gestellt worden waren. Als Referenzmethode wurde die Röntgenfluoreszenzanalyse verwendet, um den Mineralwolle-Typ über den Elementgehalt nach VDI 3492 zu identifizieren. Mit Hilfe eines multivariaten Datenanalyseverfahrens konnte schließlich eine Methode etabliert werden, die eine zuverlässige Identifikation von unbekannten Mineralwollen anhand deren NIR-Spektren als Stein- bzw. Glaswolle ermöglicht. N2 - For the recirculation of artificial mineral wool resulting from deconstruction projects to the production process, it is necessary to distinguish between rock wool and glass wool. For this purpose, the potential of NIR spectroscopy (NIRS) was tested for the application directly on construction site or in factory. NIRS is often used in process analytics due to short measurement times, minimal sample preparation and high robustness of the spectrometers. In this study 70 mineral wool samples were examined, including both new samples with manufacturer`s specifications and unknown samples without specifications, which were taken at various German construction sites between 2016 and 2017 or which were provided by landfills. X-ray fluorescence spectroscopy was used as a reference method to identify the mineral wool type via the element content according to VDI 3492. With the help of a multivariate data analysis method finally a method was established, which allows a reliable identification of unknown mineral wool based on its NIR spectra as rock or glass wool. KW - Recycling KW - NIR KW - Baustoffe KW - Chemometrie PY - 2020 VL - 95 IS - 12 SP - 463 EP - 472 PB - VDI Fachmedien GmbH & Co. KG CY - Düsseldorf AN - OPUS4-51851 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Künstliche Neuronale Netze für quantitative Online-Spektroskopie in der Prozessindustrie – Lästige Modellbildung ade? N2 - Bei Industry 4.0 dreht sich alles um Interkonnektivität, sensorgestützte Prozesssteuerung und datengesteuerte Systeme. Prozessanalysentechnik (PAT) wie die Online-Kernresonanzspektroskopie (NMR) gewinnt zunehmend an Bedeutung, da sie zur Automatisierung und Digitalisierung in der Produktion beiträgt. Eine klassische Auswertung von Prozessdaten und deren Umsetzung in Wissen ist jedoch bisher in vielen Fällen aufgrund der unzureichend großen verfügbaren Datensätze nicht möglich oder nicht wirtschaftlich. Bei der Entwicklung eines automatisierten Verfahrens für die Prozesskontrolle stehen manchmal nur die Basisdaten einer begrenzten Anzahl von Batch-Versuchen aus typischen Produkt- und Prozessentwicklungskampagnen zur Verfügung. Diese Datensätze sind jedoch nicht groß genug, um maschinengestützte Verfahren zu trainieren. Um diese Einschränkung zu überwinden, wurde ein neues Verfahren entwickelt, das eine physikalisch motivierte Multiplikation der verfügbaren Referenzdaten erlaubt, um einen ausreichend großen Datensatz für das Training von maschinellen Lernalgorithmen zu erhalten. Das zugrundeliegende Beispiel einer chemischen Synthese wurde spektroskopisch verfolgt und mit der neuen Methode sowie mit einem physikalisch basierten Modell analysiert, wobei sowohl eine anwendungsrelevante Niederfeld-NMR als auch eine Hochfeld-NMR-Spektroskopie als Referenzmethode verwendet wurde. Künstliche neuronale Netze (ANNs) haben das Potenzial, bereits aus relativ begrenzten Eingabedaten wertvolle Prozessinformationen abzuleiten. Um jedoch die Konzentration unter komplexen Bedingungen (viele Edukte und weite Konzentrationsbereiche) vorherzusagen, sind größere ANNs und damit ein größerer Trainingsdatensatz erforderlich. Wir zeigen, dass ein mäßig komplexes Problem mit vier Edukten unter Verwendung von ANNs in Kombination mit der vorgestellten PAT-Methode (Niederfeld-NMR-Spektroskopie) und mit dem vorgeschlagenen Ansatz zur Erzeugung aussagekräftiger Trainingsdaten bewältigt werden kann. T2 - 16. Kolloquium Arbeitskreis Prozessanalytik CY - Online meeting DA - 23.11.2020 KW - Prozessindustrie KW - Online-NMR-Spektroskopie KW - Industrie 4.0 KW - Künstliche Neuronale Netze KW - Prozessanalytik KW - Digitale Transformation PY - 2020 AN - OPUS4-51647 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Meyer, Klas T1 - Compact NMR Spectroscopy: A Versatile Tool for Automated Continuous-Flow Production of Chemicals and Pharmaceuticals N2 - Chemical companies must find new paths to successfully survive in a changing environment. The potential of digital technologies belongs to these. Flexible and modular chemical plants can produce various high-quality products using multi-purpose equipment with short downtimes between campaigns and reduce time to market for new products. Intensified continuous production plants allow for difficult to produce compounds. Therefore, fully automated “chemical” process control along with real-time quality control are prerequisites to such concepts and thus should be based on “chemical” information. The advances of a fully automated NMR sensor were exploited, using a given pharmaceutical lithiation reaction as an example process within a modular pilot plant. A commercially available benchtop NMR spectrometer was integrated to the full requirements of an automated chemical production environment such as, e.g., explosion safety, field communication, and robust evaluation of sensor data. It was thereof used for direct loop advanced process control and real-time optimization of the process. NMR appeared as preeminent online analytical tool and allowed using a modular data analysis tool, which even served as reliable reference method for further PAT applications. In future, such fully integrated and intelligently interconnecting “smart” systems and processes can speed up the high-quality production of specialty chemicals and pharmaceuticals. T2 - USP qNMR Emerging Technologies Workshop & Roundtable CY - Online meeting DA - 17.11.2020 KW - Quantitative NMR spectroscopy KW - Benchtop-NMR KW - Process Analytical Technology PY - 2020 AN - OPUS4-51595 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -