TY - CHAP A1 - Maiwald, Michael ED - Tauschnitz, T. T1 - Erweiterung des NOA-Konzepts - M+O-Sensoren, NE 183 N2 - Der Sensorik kommt bei der Digitalisierung der Prozessindustrie eine Schlüsselrolle zu. Entsprechend ist sie ein zentraler Baustein der NAMUR Open Architecture Konzepts (NOA). M+O-Sensoren (Monitoring + Optimization) - stellen eine neue Geräteklasse für die zusätzliche Überwachung und Optimierung von Anlagen der Prozessindustrie dar. Diese deckt klassische und alternative Messprinzipien bis hin zur Nachbildung der menschlichen Sinne ab. Hier werden die Anforderungen an M+O-Sensoren als Bestandteile der NOA beschrieben. KW - Prozessanalytik KW - Prozessindustrie KW - Sensoren KW - M+O-Sensoren KW - NAMUR Open Architecture KW - NOA PY - 2021 SN - 978-3-8356-7451-6 SP - 39 EP - 45 PB - Vulkan-Verlag GmbH CY - Essen ET - 1 AN - OPUS4-52912 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Fully integrated and intelligently networked systems and processes - Perspective: Smart sensors, actuators and communication N2 - Companies in the chemical industry have to tread new paths in order to survive successfully in a changed environment. This includes, in particular, the potential of digital technologies. The full integration and intelligent networking of systems and processes is making slow progress. This talk is a tribute to the field level. It wants to encourage a more holistic approach to the digitalisation of the process industry based on smart sensors, actuators and communication and provides information on current technical perspectives, such as the "one-network paradigm", ad-hoc networking, edge computing, FPGAs, virtual machines or blockchain. These give smart sensors, actuators and communication a completely new perspective. T2 - 5th European Conference on Process Analytics and Control Technology - EuroPACT 2021 CY - Online meeting DA - 15.11.2021 KW - Process Analytical Technology KW - Smart Sensors KW - Digital transformation KW - Industry 4.0 KW - EuroPact KW - Distributed Networks PY - 2021 UR - https://dechema.de/europact2021.html AN - OPUS4-53754 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CHAP A1 - Kessler, R. W. A1 - Kessler, W. A1 - Maiwald, Michael ED - Meyers, R. A. T1 - Inline and Online Process Analytical Technology with a Focus on Optical Spectroscopy N2 - Process analytical technology (PAT) is a cross-sectional technology and thus essential for future smart production. While in the past decades, the focus of process optimization strategies was on increasing efficiency, in the future, the focus will be on the sustainability of a production and its products. In addition, products will be increasingly personalized in order to match the property profile exactly to the intended use. PAT is able to provide context-sensitive information at the molecular level for process control. Spectroscopic sensors can determine inline and simultaneously both the chemical composition and its sub-microscopic morphology. The article will focus on the optical spectroscopy and therefore starts with a brief introduction on the basic concepts of molecular spectroscopy. In addition, the particularities of measuring liquids, surfaces, or particulate systems in PAT applications are described. This should enable the reader to select the appropriate method for the specific problem. Many examples from everyday industrial practice illustrate the applications. The areas covered are the manufacturing industry, process and pharmaceutical industry, food industry, as well as biotechnology and medical technology. Future will show that PAT is especially important for applications in the field of medicine (point of care) circular economy (recycling, water–wastewater, etc.). It is important to emphasize that sustainability in industrial production can only be successful with an inter- and transdisciplinary close exchange between the different disciplines. KW - Process Analytical Technology KW - Optical Spectroscopy KW - Encyclopedia of Analytical Chemistry KW - Sensors KW - Process Industry PY - 2022 SN - 978-0-47002-731-8 DO - https://doi.org/10.1002/9780470027318.a9791 SP - 1 EP - 31 PB - JohnWiley & Sons, Ltd. AN - OPUS4-56688 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Fricke, F. A1 - Mahmood, S. A1 - Hoffmann, J. A1 - Brandalero, M. A1 - Liehr, Sascha A1 - Kern, Simon A1 - Meyer, Klas A1 - Kowarik, S. A1 - Westerdick, S. A1 - Maiwald, Michael A1 - Hübner, M. T1 - Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy N2 - Mass Spectrometry (MS) and Nuclear Magnetic Resonance Spectroscopy (NMR) are critical components of every industrial chemical process as they provide information on the concentrations of individual compounds and by-products. These processes are carried out manually and by a specialist, which takes a substantial amount of time and prevents their utilization for real-time closed-loop process control. This paper presents recent advances from two projects that use Artificial Neural Networks (ANNs) to address the challenges of automation and performance-efficient realizations of MS and NMR. In the first part, a complete toolchain has been developed to develop simulated spectra and train ANNs to identify compounds in MS. In the second part, a limited number of experimental NMR spectra have been augmented by simulated spectra to train an ANN with better prediction performance and speed than state-of-theart analysis. These results suggest that, in the context of the digital transformation of the process industry, we are now on the threshold of a possible strongly simplified use of MS and MRS and the accompanying data evaluation by machine-supported procedures, and can utilize both methods much wider for reaction and process monitoring or quality control. T2 - 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE) CY - Grenoble, France DA - 01.02.2021 KW - Industry 4.0, KW - Cyber-physical systems KW - Artificial neural networks KW - Mass spectrometry KW - Nuclear magnetic resonance spectroscopy PY - 2021 DO - https://doi.org/10.23919/DATE51398.2021.9473958 SP - 615 EP - 620 PB - IEEE AN - OPUS4-55360 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael A1 - Lubenau, U. T1 - Large-scale hydrogen storage in geological reservoirs: Current perspectives and requirements for metrology N2 - The course of the changeover of UGS from natural gas to hydrogen varies depending on the type of the underground gas storage (UGS). In caverns a changeover to high H2-contents can be achieved quickly, while pore storage tanks must be converted over long periods of time. The analytical requirements are correspondingly different. This information has been compiled through expert statement by underground storage operators. A significant number of new UGS is currently not expected. Public funds (project funding) are currently being raised for the conversion of caverns to hydrogen. In addition, investigations and evaluations of the material are currently being carried out at various storage facilities in order to determine the possibilities and costs of a conversion. H2 admixtures to natural gas, but also pure H2 caverns are considered. The bottleneck seems to be the availability of large volumes of hydrogen. The analytical requirements along with the different hydrogen qualities, which are currently discussed were compiled through expert discussions with underground storage operators and are at hand as early impact results. T2 - EEMUA Energy Transition Seminar CY - Rotterdam, Netherland DA - 23.06.2022 KW - Hydrogen Storage KW - Underground gas storage (UGS) KW - MefHySto KW - EMPIR PY - 2022 AN - OPUS4-55109 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Integrierte und vernetzte Systeme und Prozesse – Eine Perspektive für das Messen in der Prozessindustrie N2 - Anhand von Beispielen wird in diesem Vortrag ein möglicher ganzheitlicherer Ansatz für die Digitalisierung und den Einsatz maschinengestützter Prozesse bei der Herstellung von Spezialchemikalien und Arzneimitteln durch die Einführung integrierter und vernetzter Systeme und Prozesse skizziert. Ein aktueller Ansatz und ein Beispiel in diesem Vortrag sind flexible und modulare chemische Produktionseinheiten, die Mehrzweckanlagen nutzen, um verschiedene hochwertige Produkte mit kurzen Stillstandszeiten zwischen den Kampagnen herzustellen und die Markteinführungszeit für neue Produkte zu verkürzen. Als zweites Beispiel wird kurz die Testplattform Wasserstofftankstelle vorgestellt, die als moderne Anlage der Prozessindustrie betrachtet werden kann, vergleichbar mit einer Anlage aus der chemischen oder pharmazeutischen Industrie. An ihr lassen sich alle derzeit entlang der Digitalen Transformation diskutierten Konzepte implementieren, um sie zu standardisieren und zu validieren. Dazu gehören Konzepte zur Konnektivität von Sensoren und Aktoren aus der Feldebene in höhere Ebenen der Automatisierung oder zur Einbringung zusätzlicher Sensoren oder Sensornetzwerke, die zunehmend flexibler gestaltet werden soll, die sichere und nachvollziehbare Parametrierung von Automatisierungskomponenten – vielleicht aus einem digitalen Abbild (Verwaltungsschale bzw. „Digitaler Zwilling“) heraus, Konzepte zur vorausschauenden Wartung („Predictive Maintenance“), Konzepte zu digitalen Entscheidungsprozessen, Zertifikaten und Signaturen oder der zunehmende Einsatz von komplexen Auswertungsalgorithmen und Applikationen in der Feldebene („Embedded Computing“) oder der „Kante“ zu Cloudbasierten Systemen der Informationstechnik („Edge-Computing“). Die beiden Beispiele sollen aktuelle Entwicklungsachsen des industriellen Messwesens im Rahmen der industriellen Automation aufzeigen, in denen Messwerte, deren Messunsicherheiten und Kontextinformationen eine wichtige Rolle einnehmen. T2 - 324. PTB-Seminar: Berechnung der Messunsicherheit – Empfehlungen für die Praxis CY - Berlin, Germany DA - 22.05.2023 KW - Messunsicherheit KW - Prozessindustrie KW - Datenerfassung KW - QI-Digital KW - Online-NMR-Spektroskopie PY - 2023 UR - https://www.ptb.de/cms/de/ptb/fachabteilungen/abt8/fb-84/ag-842/seminare/324-ptb-seminar-berechnung-der-messunsicherheit-empfehlungen-fuer-die-praxis.html AN - OPUS4-57533 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Modular process control with compact NMR spectroscopy – From field integration to automated data analysis N2 - Chemical and pharmaceutical companies have to find new paths to survive successfully in a changing environment, while also finding more flexible ways of product and process development to bring their products to market more quickly – especially high-quality high-end products like fine chemicals or pharmaceuticals. A current approach uses flexible and modular chemical production units, which can produce different high-quality products using multi-purpose equipment with short downtimes between campaigns and reduce the time to market of new products. NMR spectroscopy appeared as excellent online analytical tool and allowed a modular data analysis approach, which even served as reliable reference method for further Process Analytical Technology (PAT) applications. Using the available datasets, a second data analysis approach based on artificial neural networks (ANN) was evaluated. Therefore, amount of data was augmented to be sufficient for training. The results show comparable performance, while improving the calculation time tremendously. In future, such fully integrated and interconnecting “smart” systems and processes can increase the efficiency of the production of specialty chemicals and pharmaceuticals. T2 - GIDRM Day (Gruppo Italiano Discussione Risonanze Magnetiche) - Data analysis and NMR: from fundamental aspects to health and material applications CY - Online meeting DA - 14.10.2022 KW - Process Control KW - Online NMR Spectroscopy KW - Industry 4.0 KW - Process Analytical Technology KW - Data Analysis KW - Machine-Assisted Workflows PY - 2022 DO - https://doi.org/http://www.gidrm.org/index.php/activities/workshops/2022-workshops/gidrm-day-data-analysis-and-nmr-from-fundamental-aspects-to-health-and-material-applications AN - OPUS4-56002 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Modular process control with compact NMR spectroscopy: From field integration to fully automated data analysis N2 - Chemical and pharmaceutical companies need to find new ways to survive successfully in a changing environment, while finding more flexible ways of product and process development to bring their products to market faster - especially high-value, high-end products such as fine chemicals or pharmaceuticals. This is complicated by changes in value chains along a potential circular economy. One current approach is flexible and modular chemical production units that use multi-purpose equipment to produce various high-value products with short downtimes between campaigns and can shorten time-to-market for new products. Online NMR spectroscopy will play an important role for plant automation and quality control, as the method brings very high linearity, matrix independence and thus works almost calibration-free. Moreover, these properties ideally enable automated and machine-aided data analysis for the above-mentioned applications. Using examples, this presentation will outline a possible more holistic approach to digitalization and the use of machine-based processes in the production of specialty chemicals and pharmaceuticals through the introduction of integrated and networked systems and processes. T2 - Benchtop NMR: From Academia to Industry CY - Online meeting DA - 28.09.2022 KW - Digital Transformatioin KW - Process Industry KW - Benchtop NMR Spectroscopy KW - Procee Analytical Technology KW - Modular Production KW - Specialty Chemicals KW - Industry 4.0 PY - 2022 UR - https://eventos.fct.unl.pt/benchtop_nmr_workshop2022/pages/welcome AN - OPUS4-55850 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Sicherheit und Prozesskontrolle in der Wasserstoff-Wirtschaft: Anforderungen an Sensoren und Prozessanalytik N2 - Der Vortrag ist ein Impulsvortrag, der kurz in die Prozessketten der potentiellen Wasserstoffwirtschaft einführt. An vielen Stellen werden spezifische Sensoren benötigt, die die Prozess-Sicherheit und die Zuverlässigkeit von Qualitätsparametern gewährleisten. Es wird auch kurz auf die Forschungsföerderungslandschaft zu diesem Thema eingegangen. T2 - Sensorik für die Digitalisierung Chemische Produktionsanlagen – Wir bringen neue Projektideen auf dem Weg! CY - Frankfurt am Main, Germany DA - 13.06.2022 KW - Sensoren KW - Wasserstoff-Wirtschaft KW - Forschungslandschaft Wasserstoff KW - ProcessNet KW - Digitale Transformation PY - 2022 AN - OPUS4-55110 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Zhou, Z. A1 - Han, Q. A1 - Wang, D. A1 - Macé, T. A1 - Kipphardt, Heinrich A1 - Maiwald, Michael A1 - Tuma, Dirk A1 - Uehara, S. A1 - Akima, D. A1 - Shimosaka, T. A1 - Jung, J. A1 - Oh, S.-H. A1 - van der Veen, A. A1 - van Wijk, J.I.T. A1 - Ziel, P. R. A1 - Konopelko, L. A1 - Valkova, M. A1 - Mogale, D.M. A1 - Botha, A. A1 - Brewer, P. A1 - Murugan, A. A1 - Minnaro, M.D. A1 - Miller, M. A1 - Guenther, F. A1 - Kelly, M.E. T1 - CCQM K101 Final report international comparison CCQM-K101:Oxygen in nitrogen-a track B comparison and that the matrix contains argon N2 - This key comparison aims to assess the capabilities of the participants to determine the amount-of-substance fraction oxygen in nitrogen. The GAWG has classified this as a track B comparison, due to the unexpected 50 μmol/mol argon mole fraction content of the transfer standards, which effects the achievable performance of some measurement techniques such a GC-TCD. The separation of oxygen and argon is challenging, and not all systems in use are equally well designed for it. As this analytical challenge due to a substantial fraction of argon in the transfer standards became a reality, the Gas Analysis Working Group (GAWG) decided to qualify this key comparison as a regular key comparison and not as a core comparison, which may be used to support calibration and measurement capabilities (CMCs) for oxygen in nitrogen, or for oxygen in nitrogen mixtures containing argon only (see also the section on support to CMCs). KW - CCQM-K101 KW - Gas analysis PY - 2016 UR - http://iopscience.iop.org/article/10.1088/0026-1394/53/1A/08013 SN - 1681-7575 SN - 0026-1394 VL - 53 IS - Techn Suppl SP - 08013, 1 EP - 71 PB - IOP publishing AN - OPUS4-40013 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Michalik-Onichimowska, Aleksandra A1 - Kern, Simon A1 - Riedel, Jens A1 - Panne, Ulrich A1 - King, R. A1 - Maiwald, Michael T1 - ‘‘Click” analytics for ‘‘click” chemistry – A simple method for calibration–free evaluation of online NMR spectra N2 - Driven mostly by the search for chemical syntheses under biocompatible conditions, so called "click" chemistry rapidly became a growing field of research. The resulting simple one-pot reactions are so far only scarcely accompanied by an adequate optimization via comparably straightforward and robust analysis techniques possessing short set-up times. Here, we report on a fast and reliable calibration-free online NMR monitoring approach for technical mixtures. It combines a versatile fluidic system, continuous-flow measurement of 1H spectra with a time interval of 20 s per spectrum, and a robust, fully automated algorithm to interpret the obtained data. As a proof-of-concept, the thiol-ene coupling between N-boc cysteine methyl ester and allyl alcohol was conducted in a variety of non-deuterated solvents while its time-resolved behaviour was characterized with step tracer experiments. Overlapping signals in online spectra during thiol-ene coupling could be deconvoluted with a spectral model using indirect hard modeling and were subsequently converted to either molar ratios (using a calibrationfree approach) or absolute concentrations (using 1-point calibration). For various solvents the kinetic constant k for pseudo-first order reaction was estimated to be 3.9 h-1 at 25 °C. The obtained results were compared with direct integration of non-overlapping signals and showed good agreement with the implemented mass balance. KW - Online NMR Spectroscopy KW - Reaction Monitoring KW - Automated Data Evaluation KW - Thiol-ene click chemistry KW - Click Chemistry KW - Process Analytical Technology PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-393232 UR - http://www.sciencedirect.com/science/article/pii/S1090780717300575 DO - https://doi.org/10.1016/j.jmr.2017.02.018 VL - 277 SP - 154 EP - 161 PB - Elsevier Inc. CY - Oxford AN - OPUS4-39323 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Kern, Simon A1 - Michalik-Onichimowska, Aleksandra A1 - Riedel, Jens A1 - Panne, Ulrich A1 - King, R. A1 - Maiwald, Michael ED - Herwig, Christoph T1 - “Click” analytics for “click” chemistry – a simple method for calibration-free evaluation of online NMR spectra N2 - Currently, research in chemical manufacturing moves towards flexible plug-and-play approaches focusing on modular plants, capable of producing small scales on-demand with short down-times between individual campaigns. This approach allows for efficient use of hardware, a faster optimization of the process conditions, and thus, an accelerated introduction of new products to the market. Driven mostly by the search for chemical syntheses under biocompatible conditions, so-called “click” chemistry rapidly became a growing field of research. The resulting simple one-pot reactions are so far only scarcely accompanied by an adequate optimization via comparably straightforward and robust analysis techniques. Here we report on a fast and reliable calibration-free online high field NMR monitoring approach for technical mixtures. It combines a versatile fluidic system, continuous-flow measurement with a time interval of 20 s per spectrum, and a robust, automated algorithm to interpret the obtained data. All spectra were acquired using a 500 MHz NMR spectrometer (Varian) with a dual band flow probe having a 1/16-inch polymer tubing working as a flow cell. Single scan 1H NMR spectra were recorded with an acquisition time of 5 s, relaxation delay of 15 s. As a proof-of-concept, the thiol-ene coupling between N-boc cysteine methyl ester and allyl alcohol was conducted in non-deuterated solvents while its time-resolved behaviour was characterised with step tracer experiments. Through the application of spectral modeling the signal area for each reactant can be deconvoluted in the online spectra and thus converted to the respective concentrations or molar ratios. The signals which were suitable for direct integration were used herein for comparison purposes of both methods. T2 - 11. Interdisziplinäres Doktorandenseminar CY - Berlin, Germany DA - 12.03.2017 KW - Process Monitoring KW - Online NMR Spectroscopy KW - Indirect Hard Modeling KW - Process Control KW - Process Analytical Technology KW - CONSENS KW - Click Chemistry PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-435531 SP - 33 EP - 35 PB - Gesellschaft Deutscher Chemiker (GDCh) CY - Frankfurt a. M. AN - OPUS4-43553 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Meyer, Klas A1 - Rademann, K. A1 - Panne, Ulrich A1 - Maiwald, Michael T1 - Quantitative NMR spectroscopy for gas analysis for production of primary reference gas mixtures N2 - Due to its direct correlation to the number of spins within a sample quantitative NMR spectroscopy (qNMR) is a promising method with absolute comparison abilities in complex systems in technical, as well as metrological applications. Most of the samples studied with qNMR are in liquid state in diluted solutions, while gas-phase applications represent a rarely applied case. Commercially available NMR equipment was used for purity assessment of liquid and liquefied hydrocarbons serving as raw materials for production of primary reference gas standards. Additionally, gas-phase studies were performed within an online NMR flow probe, as well as in a high-pressure NMR setup to check feasibility as verification method for the composition of gas mixtures. KW - Quantitative NMR spectroscopy KW - Gas-phase NMR spectroscopy KW - Primary reference gas mixtures PY - 2017 UR - http://www.sciencedirect.com/science/article/pii/S1090780716302518 DO - https://doi.org/10.1016/j.jmr.2016.11.016 SN - 1090-7807 SN - 1096-0856 VL - 275 SP - 1 EP - 10 AN - OPUS4-38803 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Kern, Simon A1 - Michalik-Onichimowska, Aleksandra A1 - Riedel, Jens A1 - Panne, Ulrich A1 - King, Rudibert A1 - Maiwald, Michael ED - Maiwald, Michael T1 - “Click” analytics for “click” chemistry – a simple method for calibration-free evaluation of online NMR spectra N2 - Currently research in chemical manufacturing moves towards flexible plug-and-play approaches focusing on modular plants, capable of producing small scales on-demand with short down-times between individual cam-paigns. This approach allows for efficient use of hardware, a faster optimization of the process conditions, and thus, an accelerated introduction of new products to the market. Driven mostly by the search for chemical syntheses under biocompatible conditions, so-called “click” chemistry rapidly became a growing field of research. The re-sulting simple one-pot reactions are so far only scarcely accompanied by an adequate optimization via compara-bly straightforward and robust analysis techniques. Here we report on a fast and reliable calibration-free online high field NMR monitoring approach for technical mixtures. It combines a versatile fluidic system, continuous-flow measurement with a time interval of 20 s per spectrum, and a robust, automated algo-rithm to interpret the ob-tained data. All spectra were acquired using a 500 MHz NMR spectrometer (Varian) with a dual band flow probe having a 1/16 inch polymer tubing working as a flow cell. Single scan 1H spectra were recorded with an acquisition time of 5 s, relaxation delay of 15 s. T2 - 12. Kolloquium des Arbeitskreises Prozessanalytik CY - Berlin, Germany DA - 28.11.2016 KW - “Click” chemistry KW - Online NMR KW - Online monitoring PY - 2016 SP - 72 EP - 74 AN - OPUS4-38385 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Metrology for Advanced Hydrogen Storage Solutions (MefHySto) – Overviewand Tangible Results N2 - The European project MefHySto addresses the need of large-scale energy storage, which is required for a shift to renewable energy supply. The project is funded by the European Metrology Programme on Innovation and Research (EMPIR) and consists of 14 consortium partners from all over Europe (www.mefhysto.eu). It is demonstrated, how MefHySto is contributing to the EMN for Energy Gases aiming at prioritisation of the measurement gaps and challenges interacting with the EMN stakeholders. T2 - European Metrology Network Energy Gases “Measurement Solutions for Energy Gases” Workshop CY - Lisbon, Portugal DA - 21.03.2023 KW - MefHySto KW - EMPIR KW - Hydrogen Storage KW - Hydrogen Metrology KW - Hydrogen Purity KW - Geological Storage PY - 2023 AN - OPUS4-57193 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Modular process control with compact NMR spectroscopy – From Field Integration to Automated Data Analysis N2 - Chemical and pharmaceutical companies have to find new paths to survive successfully in a changing environment, while also finding more flexible ways of product and process development to bring their products to market more quickly – especially high-quality high-end products like fine chemicals or pharmaceuticals. A current approach uses flexible and modular chemical production units, which can produce different high-quality products using multi-purpose equipment with short downtimes between campaigns and reduce the time to market of new products. NMR spectroscopy appeared as excellent online analytical tool and allowed a modular data analysis approach, which even served as reliable reference method for further Process Analytical Technology (PAT) applications. Using the available datasets, a second data analysis approach based on artificial neural networks (ANN) was evaluated. Therefore, amount of data was augmented to be sufficient for training. The results show comparable performance, while improving the calculation time tremendously. In future, such fully integrated and interconnecting “smart” systems and processes can increase the efficiency of the production of specialty chemicals and pharmaceuticals. At the end of the article, ideas for solutions are discussed in order to speed up the implementation of new special products from the point of view of process analytics and to network the existing process chains more closely. T2 - PATriCK 2022 – Merck conference on PAT technology CY - Darmstadt, Germany DA - 19.10.2022 KW - Process Analytical Technology KW - Digitalisation KW - Process Industry KW - Online NMR Spectroscopy KW - Modular Production PY - 2022 AN - OPUS4-56089 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Integrierte und vernetzte Systeme und Prozesse – Eine Perspektive für die smarte Laborinfrastruktur N2 - Chemie- und Pharmaunternehmen müssen neue Wege gehen, um in einem sich wandelnden Umfeld erfolgreich zu überleben, und gleichzeitig flexiblere Wege der Produkt- und Prozessentwicklung finden, um ihre Produkte schneller auf den Markt zu bringen - vor allem hochwertige High-End-Produkte wie Feinchemikalien oder Arzneimittel. Dazu gehört auch das Potenzial der digitalen Technologien, um ein umfassenderes Wissensmanagement zu ermöglichen. Eine wichtige Wissensquelle sind analytische Labors, die Unternehmensweit aktiv sind – von F&E bis zur Produktion. Die ganzheitliche Einbindung von analytischen Labors und ein unternehmensweites Daten- und Wissensmanagement sind wichtige Bausteine zur Integration und Vernetzung aller Systeme und Prozesse. Das Potenzial von Daten aus der Produktion mit ihren Kontextinformationen wird heute oft noch nicht konsequent für ein umfassendes Verständnis der Produktion genutzt. Dieser Beitrag skizziert anhand von Beispielen einen möglichen ganzheitlicheren Ansatz zur Digitalisierung und zum Einsatz maschineller Verfahren in der Produktion von Spezialchemikalien und Pharmazeutika durch die Einführung integrierter und vernetzter Systeme und Prozesse. T2 - 6. Analytik-Tag des Institut für Energie- und Umwelttechnik e.V. (IUTA) CY - Duisburg, Germany DA - 10.11.2022 KW - Prozessindustrie KW - Online-NMR-Spektroskopie KW - Prozessanalytik KW - Digitalisierung KW - Datenauswertung KW - IUTA PY - 2022 AN - OPUS4-56226 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Integrierte und vernetzte Systeme und Prozesse – Prozessnahe Sensorik für die digital transformierte Prozessindustrie N2 - Unternehmen der Prozessindustrie müssen neue Wege finden, um in einem sich wandelnden Umfeld erfolgreich zu überleben, und gleichzeitig flexiblere Wege der Produkt- und Prozessentwicklung finden, um ihre Produkte schneller auf den Markt zu bringen – insbesondere hochwertige, hochwertige Produkte wie Feinchemikalien oder Arzneimittel. Dies wird zukünftig durch Veränderungen in den Wertschöpfungsketten entlang einer potenziellen Kreislaufwirtschaft erschwert. Anhand von Beispielen wird in diesem Vortrag ein möglicher ganzheitlicher Ansatz zur Digitalisierung und zum Einsatz maschineller Verfahren in der Produktion von Spezialchemikalien durch die Einführung integrierter und vernetzter Systeme und Prozesse skizziert. Es wird auch auf die aktuelle Technologie-Roadmap „Prozess-Sensoren 2027+“ eingegangen, die Ende 2021 erschienen ist. Im Zentrum dieser Roadmaps stehen Sensoren zur Erfassung von physikalischen und chemischen Messgrößen mittels spezifischer und unspezifischer Messverfahren, die zur Steuerung und dem besseren Verständnis von Prozessen dienen. Die Roadmap fasst die gemeinsame Technologie- und Marktsicht von Anwendern, Herstellern und Forschungs¬einrichtungen im Bereich Prozess-Sensorik in der verfahrenstechnischen Industrie zusammen. Digitalisierung und Nachhaltigkeit sind übergreifende Kernthemen der künftigen Entwicklung. T2 - 11. Fachtagung Prozessnahe Röntgenanalytik PRORA CY - Berlin, Germany DA - 24.11.2022 KW - Digital Transformatioin KW - Prozessindustrie KW - Sensorik KW - Prozessanalytik KW - Industrie 4.0 KW - PRORA PY - 2022 AN - OPUS4-56391 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Maiwald, Michael T1 - Editorial: Es ist Arznei, nicht Gift, was ich dir reiche N2 - Der Artikel ist ein Editorial, der für die Herstellung eines grundlegenden Vertrauens in medizinische Produkte - insbesondere Impfstoffe - wirbt, um Skeptiker zu Unterstützern zu machen. Er wirbt nicht nur für die Impfstoffe, sondern auch für die Kultur der Pharmazie und Chemie und die Wissenschaft ganz allgemein und regt an, mehr erklärende Formate wie z. B. im Stil der Sendung mit der Maus für diese Dinge zu werben. Der Artikel geht auch auf den ungeheuren Reiz der seit gut zwanzig Jahren diskutierten risikobasierten Ansätze für pharmazeutische Entwicklung und Herstellung von Arzneimitteln auf Basis der Quality Guidelines ein. KW - Impfstoffe KW - Pharmazeutische Produktion KW - Qualitätssicherung KW - Wissenschaftskultur KW - Prozessanalytik KW - Quality by Design PY - 2021 SN - 2625-4212 SN - 2364-3137 VL - 63 IS - 3 SP - 1 PB - Vulkan Verlag CY - Essen AN - OPUS4-52264 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - BOOK A1 - Maiwald, Michael A1 - Bassler, M. A1 - Deilmann, M. A1 - Ens, W. A1 - Frenzel, F. A1 - Gerlach, M. A1 - Großmann, J. A1 - Grümbel, F. A1 - Heisterkamp, M. A1 - Kaiser, U. A1 - Lambrecht, A. A1 - Ohlenkamp, R. A1 - Pötter, T. A1 - Pyka, P. A1 - Roos, E. A1 - Schmidt, A. A1 - Schünemann, U. A1 - Theuer, M. A1 - Tukle, A. A1 - Weber, N. T1 - Technologie-Roadmap „Prozess-Sensoren 2027+“ N2 - Die Technologie-Roadmap „Prozess-Sensoren 2027+“ ist eine Weiterentwicklung vorgängiger Technologie-Roadmaps. Im Zentrum dieser Roadmaps stehen Sensoren zur Erfassung von physikalischen und chemischen Messgrößen mittels spezifischer und unspezifischer Messverfahren, die zur Steuerung und dem besseren Verständnis von Prozessen dienen. Die Roadmap fasst die gemeinsame Technologie- und Marktsicht von Anwendern, Herstellern und Forschungseinrichtungen im Bereich Prozess-Sensorik in der verfahrenstechnischen Industrie zusammen. Sie beschreibt die wesentlichen Trends im Bereich Prozess-Sensorik und künftige Handlungsbedarfe für Hersteller, Anwender sowie für Einrichtungen der Forschung und Lehre. Für die aktuellen und zukünftigen Anforderungen an Prozess-Sensoren werden 19 Thesen formuliert. Die Thesen basieren auf den Thesen der vorangegangenen Roadmaps, wobei die aus heutiger Sicht erforderlichen Anpassungen, Ergänzungen und teilweise auch Streichungen vorgenommen wurden. Die Thesen sind in 5 Themencluster eingeordnet. Digitalisierung und Nachhaltigkeit sind übergreifende Kernthemen der künftigen Entwicklung. KW - Technologie-Roadmap Prozess-Sensoren KW - Prozessindustrie KW - Prozessanalytik KW - Sensorik KW - Digitalisierung KW - NAMUR PY - 2021 SP - 1 EP - 63 AN - OPUS4-53741 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -