TY - CONF A1 - Kern, Simon T1 - Ugly Spectra and Lousy interfaces – Challenges for Compact NMR Spectroscopy in Process Control N2 - With the introduction of advanced process analytical technology, the closeness of key process variables to their limits can be directly controlled and the product can be classified or even released in real time. Compact NMR instruments can make NMR spectroscopy accessible in industrial and harsh environments for process control. T2 - ProcessNet-Jahrestagung und 32. DECHEMA-Jahrestagung der Biotechnologen 2016 CY - Aachen, Germany DA - 12.09.2016 KW - Industrie 4.0 KW - CONSENS KW - Reaction Monitoring KW - Smart Sensors KW - Online NMR Spectroscopy KW - Lithiation PY - 2016 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-373895 AN - OPUS4-37389 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Kern, Simon T1 - Novel Flow Cell Designs for Process Monitoring with Compact NMR Spectroscopy N2 - Compact nuclear magnetic resonance (NMR) instruments make NMR spectroscopy and relaxometry accessible in industrial and harsh environments for reaction characterization and process control. Robust field integration of NMR systems have to face explosion protection or integration into process control systems with short set-up times. This paves the way for industrial automation in real process environments. The design of failsafe, temperature and pressure resistant flow through cells along with their NMR-specific requirements is an essential cornerstone to enter industrial production plants and fulfill explosion safety requirements. Additionally, if fast reactions are monitored, suitable mixing devices need to be placed in close vicinity to the measuring volume to mix the reactants properly. NMR-specific requirements aim at full quantitative pre-magnetization and acquisition with maximum sensitivity while reducing sample transfer times and dwell-times. All parameters are individually dependent on the applied NMR instrument. Luckily, an increasing number of applications are reported together with an increasing variety of commercial equipment. However, these contributions have to be reviewed thoroughly. The performance of sample flow cells commonly used in online analytics and especially for low-field NMR spectroscopy was experimentally and theoretically investigated by 1H-NMR experiments and numerical simulations. Especially, the applicability of 3D printed zirconium dioxide for innovative flow cell designs was of interest. Here, we demonstrate and discuss an automated test method to determine the critical parameters of flow through cells for quantitative online NMR spectroscopy. The setup is based on randomized setpoints of flow rates in order to reduce temperature related effects. Five flow cells and tubing were assessed and compared for high-field as well as low-field NMR spectrometers. T2 - Practical Applications of NMR in Industry Conference ​(PANIC) 2018 CY - La Jolla, California, USA DA - 04.03.2018 KW - Process Monitoring KW - Process Control KW - Flow Cell KW - Online NMR Spectroscopy KW - Additive Manufacturing KW - CONSENS PY - 2018 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-444364 N1 - Geburtsname von Bornemann-Pfeiffer, Martin: Bornemann, M. - Birth name of Bornemann-Pfeiffer, Martin: Bornemann, M. AN - OPUS4-44436 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Sustainable and Flexible Production of High Quality Chemicals and Pharmaceuticals Using Smart Sensors and Modular Production Units N2 - The departure from the current automation landscape to next generation automation concepts for the process industry has already begun. Smart functions of sensors simplify their use and enable plug-and-play integration, even though they may appear to be more complex at first sight. Monitoring specific information (i.e., “chemical” such as physico-chemical properties, chemical reactions, etc.) is the key to “chemical” process control. The talk introduces a smart online NMR sensor module provided in an explosion proof housing as example. This sensor was developed for an intensified industrial process (pharmaceutical lithiation reaction step) funded by the EU’s Horizon 2020 research and innovation programme (www.consens-spire.eu). Due to NMR spectroscopy as an “absolute analytical comparison method”, independent of the matrix, it runs with extremely short set-up times in combination with “modular” spectral models. Such models can simply be built upon pure component NMR spectra within a few hours (i.e., assignment of the NMR signals to the components) instead of tedious calibrations runs. The talk also generally covers current aspects of high-field and low-field online NMR spectroscopy for reaction monitoring and process control and gives also an overview on direct dissolution studies of API cocrystals. T2 - Chemistry Group Seminar Pfizer Inc. CY - La Jolla, California, USA DA - 09.03.2018 KW - Process Monitoring KW - Online NMR Spectroscopy KW - Smart Sensors KW - Indirect Hard Modeling KW - Modular Production KW - CONSENS PY - 2018 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-444382 AN - OPUS4-44438 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Man proposes, God disposes – The Way from Reaction Monitoring to Industrial Automation N2 - Compact nuclear magnetic resonance (NMR) instruments make NMR spectroscopy and relaxometry accessible in industrial and harsh environments for reaction and process control. An increasing number of applications are reported. Robust field integration of NMR systems have to face explosion protection or integration into process control systems with short set-up times. Tis paves the way for industrial automation in real process environments. Automated data preparation and analysis are cornerstones for a breakthrough of NMR techniques for process control. Particularly, robust chemometrics as well as automated signal processing methods have to be (further) developed especially for NMR spectroscopy in process control. This becomes even more important for so called “smart sensors” providing the basis for the future project “Industrie 4.0”, and Industrial Internet of Things (IIoT), along with current requirements to process control, model based control, or soft sensing. Data analysis techniques are available but currently mostly used for off-line data analysis to detect the causes of variations in the product quality. The talk presents current research activities towards process control with compact NMR and reflects “cultural differences” between the interdisciplinary parties involved. T2 - Symposium NMRPM - Quantitative NMR Methods for Reaction and Process Monitoring CY - Kaiserslautern, Germany DA - 19.01.2017 KW - Reaction Monitoring KW - Process Analytical Technology KW - Smart Sensors KW - Process Control KW - Industrie 4.0 KW - Online NMR Spectroscopy PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-389940 AN - OPUS4-38994 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bremser, Wolfram T1 - Mathematical and statistical tools for online NMR spectroscopy in chemical processes N2 - Monitoring chemical reactions is the key to chemical process control. Today, mainly optical online methods are applied, which are calibration intensive. NMR spectroscopy has a high potential for direct loop process control while exhibiting short set-up times. Compact NMR instruments make NMR spectroscopy accessible in industrial and harsh environments for advanced process monitoring and control. Within the European Union’s Research Project CONSENS (Integrated CONtrol and SENsing by development and integration of a smart NMR module for process monitoring was designed and delivers online spectra of various reactions. The presented NMR module is provided in an explosion proof housing of 57 x 57 x 85 cm module size and involves a compact spectrometer together with an acquisition unit and a programmable logic controller for automated data preparation (phasing, baseline correction), and evaluation. For reaction monitoring and process control using NMR instruments after acquisition of the FID the data needs to be corrected in real-time for common effects using fast interfaces and automated methods. When it comes to NMR data evaluation under industrial process conditions, the shape of signals can change drastically due to nonlinear effects. Additionally, the multiplet structure becomes more dominant because of the comparably low-field strengths which results in overlapping of multiple signals. However, the structural and quantitative information is still present but needs to be extracted by applying predictive models. We present a range of approaches for the automated spectra analysis moving from statistical approach, (i.e., Partial Least Squares Regression) to physically motivated spectral models (i.e., Indirect Hard Modelling and Quantum Mechanical calculations). By using the benefits of traditional qNMR experiments data analysis models can meet the demands of the PAT community (Process Analytical Technology) regarding low calibration effort/calibration free methods, fast adaptions for new reactants, or derivatives and robust automation schemes. T2 - Advanced Mathematical and Computational Tools in Metrology and Testing XI (AMCTM) CY - Glasgow, UK DA - 29.08.2017 KW - Process Monitoring KW - CONSENS KW - Online NMR Spectroscopy KW - Indirect Hard Modeling KW - Data Analysis PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-416560 AN - OPUS4-41656 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Strangers in the Night – Smart Process Sensors in Our Current Automation Landscape N2 - The departure from the current automation landscape to next generation automation concepts for the process industry has already begun. Smart functions of sensors will simplify their use and enable plug-and-play integration, even though they may appear to be more complex at first sight. This is particularly important for concepts like self-diagnostics, self-calibration and self-configuration/parameterization. Intelligent field devices as parts of digital field networks, Inter-net Protocol (IP)-based connectivity and web interfaces, as well as advanced data analysis soft-ware will provide the basis for future projects like Industrie 4.0, Factory of the Future, or Industrial Internet of Things (IIoT). The talk summarizes the currently discussed general requirements for process sensors 4.0 and introduces an online NMR sensor as example. This sensor was developed to provide integrated control and sensing for sustainable operation of flexible intensified processes (CONSENS) funded by the European Union’s Horizon 2020 research and innovation programme. T2 - Eurosensors 2017 Conference CY - Paris, France DA - 03.09.2017 KW - Process Monitoring KW - Smart Sensors KW - Online NMR Spectroscopy KW - Indirect Hard Modeling KW - Industrie 4.0 KW - Eurosensors PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-418271 UR - http://www.eurosensors2017.eu/ AN - OPUS4-41827 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Using Smart Sensors and Modular Production Units for Sustainable and Flexible Production of High Quality Chemicals and Pharmaceuticals N2 - The talk reflects how PAT could be applied in future developments ofpharma manufacturing. It shows the benefits, increase quality, size and increasing speed of production with significant reduction of quality costs, which are possible. Using Smart Sensors and model based data evaluation methods are the key to reduce set-up times and costs. Industry 4.0 will help shape the Pharmaceutical industry of tomorrow. This is demonstrated by an example using modular production units for Continuous Manufacturing. The development of a smart online NMR analyser is shown. T2 - Pharma Talk 2017 CY - Berlin, Germany DA - 08.06.2017 KW - Process Monitoring KW - CONSENS KW - Online NMR Spectroscopy KW - Continuous Manufacturing KW - Pharmaceutical Production PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-405039 AN - OPUS4-40503 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael T1 - Sensor Roadmap 4.0 – Prospects towards a uniform topology for process control and smart sensor networks N2 - Smart functions of sensors simplify their use and enable plug-and-play, even though they are more complex. This is particularly important for, self-diagnostics, self-calibration and self-configuration/parameterization. Intelligent field devices, digital field networks, Internet Protocol (IP)-enabled connectivity and web services, historians, and advanced data analysis software are providing the basis for the future project “Industrie 4.0” and Industrial Internet of Things (IIoT). Important smart features include connectivity and communication ability according to a unified protocol (OPC-UA currently most widely discussed), maintenance and operating functions, traceability and compliance, virtual description to support a continuous engineering, and well as interaction capabilities between sensors. This is a prerequisite for the realization of Cyber Physical Systems (CPS) within these future automation concepts for the process industry. Therefore, smart process sensors enable new business models for users, device manufacturers, and service providers. The departure from current automation to smart sensor has already begun. Further development is based on the actual situation over several steps. Possible perspectives will be via additional communication channels to mobile devices, bidirectional communication, integration of the cloud and virtualization. The integration of virtual runtime environments can provide a more flexible topology for process control environments. The talk summarizes the currently discussed requirements to process sensors 4.0 and introduces an online NMR sensor as an example, which was developed in the EU project CONSENS. T2 - Swiss Chemical Society Fall Meeting, Symposium on PAT & Industry 4.0 CY - Bern, Switzerland DA - 21.08.2017 KW - Process Monitoring KW - Smart Sensors KW - Reaction Monitoring KW - Indirect Hard Modeling KW - Online NMR Spectroscopy KW - Industrie 4.0 PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-414683 AN - OPUS4-41468 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Wander, Lukas T1 - Reading Between the Lines – Automated Data Analysis for Low-Field NMR Spectra N2 - For reaction monitoring using NMR instruments, in particular, after acquisition of the FID the data needs to be corrected in real-time for common effects using automated methods. When it comes to NMR data evaluation under industrial process conditions, the shape of signals can change drastically due to nonlinear effects. However, the structural and quantitative information is still present but needs to be extracted by applying predictive models. Acquired raw spectra were processed with the following tools: · Phase correction using the Entropy minimization method · Baseline correction using a low-order Polynomial fit · Alignment (icoshift) Pure component models based on Pseudo-Voigt functions can be derived via peak fitting of measured pure components or by the use of spin calculations. T2 - Tackling the Future of Plant Operation - Jointly towards a Digital Process Industry CY - Barcelona, Spain DA - 13.12.2017 KW - Process Monitoring KW - Online NMR Spectroscopy KW - Indirect Hard Modeling KW - Spectral Modeling KW - Process Analytical Technology KW - CONSENS PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-434346 AN - OPUS4-43434 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Guhl, Svetlana T1 - Design and Validation of a Compact Online NMR Module N2 - The recent developments of inovative compact NMR spectrometers are therefore remarkable due to their possible application in process analytical technology (PAT) in an industrial environment without high maintenance requirements. spectroscopic methods, NMR spectroscopy offers some unique features for online reaction monitoring. However, those benefits have not been exploited for PAT applications so far. Within the CONSENS Project, the challenge to adapt a commercially available benchtop NMR spectrometer to the full requirements of an automated chemical production environment was tackled successfully. was provided in an explosion proof housing and involves a compact NMR spectrometer together with an automated data acquisition and evaluation unit, flow control, as well as data communication. T2 - Tackling the Future of Plant Operation - Jointly towards a Digital Process Industry CY - Barcelona, Spain DA - 13.12.2017 KW - Process Monitoring KW - Online NMR Spectroscopy KW - Indirect Hard Modeling KW - Explosion Safety KW - Field Integration KW - CONSENS KW - Process Analytical Technology KW - OPC UA PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-434351 AN - OPUS4-43435 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -