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- Prozessanalytik (12)
- Online NMR Spectroscopy (8)
- Process Analytical Technology (7)
- CONSENS (5)
- Process analytical technology (5)
- Prozess-Spektroskopie (5)
- Raman spectroscopy (5)
- Hydroformylation (4)
- Industrie 4.0 (4)
- Online NMR spectroscopy (4)
Organisationseinheit der BAM
In this contribution a Raman spectrometer based control structure for the heating of a desorption column is proposed. For this purpose calibration experiments for the absorption of carbon dioxide using monoethanolamine solutions are carried out and calibration models are developed to measure both carbon dioxide liquid loads and monoethanolamine mass fractions. The calibration experiments are supported by online NMR spectroscopy to accurately measure the appearance of all species in the electrolyte system. Both models are tested during the plant operation of a mini-plant for the oxidative coupling of methane and the proof of concept for the control structure is given. The Raman spectroscopy implemented in the ATEX conform mini-plant shows a reliable and robust performance being even indifferent to impurities hindering the GC analysis.
Medium resolution nuclear magnetic resonance spectroscopy (MR-NMR) currently develops to an important analytical tool for both quality control and process monitoring. One of the fundamental acceptance criteria for online MR-MNR spectroscopy is a robust data treatment and evaluation strategy with the potential for automation. The MR-NMR spectra were treated by an automated baseline and phase correction using the minimum entropy method. The evaluation strategies comprised direct integration, automated line fitting, indirect hard modeling, and partial least squares regression.
Derzeit finden gravierende Veränderungen im Umfeld der Informations- und Kommunikationstechnik statt, die eine große Chance für die optimierte Prozessführung und Wertschöpfung mit darauf abgestimmten vernetzt kommunizierenden Sensoren bieten. Diese Art „smarter“ Sensoren stellen Dienste innerhalb eines Netzwerks bereit und nutzen Informationen daraus. Dadurch ergibt sich aktuell die Notwendigkeit, die Anforderungen an Prozess-Sensoren sowie an deren Kommunikationsfähigkeiten detaillierter zu beschreiben – vom einfachen Temperatursensor bis über heute in Entwicklung befindlichen Mess-Systemen hinaus – da diese Technologieentwicklungen rasant voranschreiten. Vernetzte Sensoren sind die Voraussetzung für die Realisierung von Cyber-physischen Produktionssystemen (CPPS) und zukünftiger Automatisierungskonzepte für die Prozessindustrie, wie sie auch durch das Zukunftsprojekt „Industrie 4.0“ adressiert werden.
The increasing pollution of terrestrial and aquatic ecosystems with plastic debris, which leads to the accumulation of microscopic plastic particles of still unknown fate, is an upcoming problem of our time. In order to monitor the degree of contamination and to understand the underlying processes of degradation and internalization of plastic debris, analytical methods are urgently needed, which help to identify and quantify microplastics. Currently, expensive collected and purified materials enriched on filters are investigated by (micro) infrared spectroscopy (FTIR). Few studies using micro-Raman spectroscopy have been published as well. In contrast to FTIR, Raman spectroscopy can handle wet samples, but it suffers from interference of fluorescent materials. Both micro-FTIR- and micro-Raman, always include time consuming scanning and mapping procedures followed by the manual inspection and measurement of selected particles.
The Cultivation of “Saccharomyces cerevisiae” for enzyme production was monitored using Near-infrared spectroscopy. An inline NIR optrode was therefore immersed in a 15 L vessel. The calibration was done using a Partial Least Squares (PLS) model with reference measurements of glucose, ammonium, phosphate, ethanol, and optical density. A nonlinear biological process model based on an extended Kalman Filter (EKF) was used to describe the fermentation behavior. It was found that EKF corrects inaccurate PLS predictions.
Monitoring chemical reactions is the key to chemical process control. Today, mainly optical online methods are applied, which require excessive calibration effort. 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 environ¬ments for advanced process monitoring and control, as demonstrated within the European Union’s Horizon 2020 project CONSENS.
We present a range of approaches for the automated spectra analysis moving from conventional multivariate 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.
Eine stets optimale Nutzung von Anlagen, Rohstoffen und Energie in Verbindung mit einer guten Prozessführung sind die wichtigsten Voraussetzungen für globale Wettbewerbsvorteile der Chemisch Pharmazeutischen Industrie und für die Branchen Energieerzeugung, Petrochemie, Nahrungsmittel, Papier- und Zellstoff oder Wasserversorgung. Überlegene Verfahren erfordern die fortwährende Kontrolle der geforderten Produktqualität, ihre präventive Sicherstellung und eine ständige Verbesserung des Wissens über den Prozess. Sensoren helfen dabei, alle wichtigen Messgrößen an kritischen Stellen transparent zu machen.
Sie sind die 'Sinnesorgane der Prozessleittechnik' für automatisierte Verfahren. Allein aufgrund stetig wachsender Anforderungen an Sensoren ergibt sich für viele Messaufgaben die Notwendigkeit einer ständigen Verbesserung der Sensoren. Für völlig neue Aufgaben müssen jedoch neue Messprinzipien gefunden werden, weil heute noch keine Sensor-Technologie existiert oder die wachsenden Anforderungen nicht mehr allein durch Weiterentwicklung bestehender Technologien erfüllt werden können.
Ende 2009 wurden Anforderungen und Wege für die konsequente Weiterentwicklung und Verbesserung von Prozess-Sensoren aus Anwendersicht aufgeschrieben. Das Projekt wurde von NAMUR und GMA initiiert und gemeinsam mit Industrieanwendern und Geräteherstellern als Technologie-Roadmap 'Prozess-Sensoren 2015+' veröffentlicht.
Was ist aus den Wünschen seither geworden? Wie kann die Umsetzung dieser Entwicklungsziele von den Geräteherstellern wirtschaftlich und marktgängig erfolgen? Wie werden neuartige Forschungsziele mit der angemessenen Forschungsförderung am besten vorangebracht?
Process analytical techniques are extremely useful tools for chemical production and manufacture and are of particular interest to the pharmaceutical, food and (petro-) chemical industries.
Today, mainly optical online methods are applied. NMR spectroscopy has a high potential for direct loop process control. Compact NMR instruments based on permanent magnets are robust and relatively inexpensive analysers, which feature advantages like low cost, low maintenance, ease of use, and cryogen-free operation. Instruments for online NMR measurements equipped with a flow-through cell, possessing a good signal-to-noise-ratio, sufficient robustness, and meeting the requirements for integration into industrial plants (i.e., explosion safety and fully automated data analysis) are currently not available off the rack.
A major advantage of NMR spectroscopy is that the method features a high linearity between absolute signal area and sample concentration, which makes it an absolute analytical comparison method which is independent of the matrix. This is an important prerequisite for robust data evaluation strategies within a control concept and reduces the need for extensive maintenance of the evaluation model over the time of operation. Additionally, NMR spectroscopy provides orthogonal, but complimentary physical information to conventional, e.g., optical spectroscopy. It increases the accessible information for technical processes, where aromatic-toaliphatic conversions or isomerizations occur and conventional methods fail due to only minor changes in functional groups.
As a technically relevant example, the catalytic hydrogenation of 2-butyne-1,4-diol and further pharmaceutical reactions were studied using an online NMR sensor based on a commercially available low-field NMR spectrometer within the framework of the EU project CONSENS (Integrated Control and Sensing).
Produzieren Sie schon oder kalibrieren Sie noch? – Online-NMR-Spektrometer als Smarte Feldgeräte
(2018)
Der Vortrag zeigt allgemeine Anforderungen an "smarte Feldgeräte" und deren Entwicklung in den vergangenen Jahren. Am Beispiel eines smarten Online-NMR-Sensors, der in einem EU-Projekt von der BAM entwickelt wurde, wird die Umsetzung der Anforderung aufgezeigt. Schließlich werden weitere Technologieanforderungen und Lösungsansätze vorgestellt.
Hydroformylation of short-chained olefins has been established as a standard industrial process for the production of C2 to C6 aldehydes. Using aqueous solutions of transition metal complexes these processes are carried out homogeneously catalyzed. A biphasic approach allows for highly efficient catalyst recovery. Regarding renewable feedstocks, the hydroformylation of long-chained alkenes (> C10) in a biphasic system, using highly selective rhodium catalysts has yet not been shown. Therefore, the Collaborative Research Center SFB/TR 63 InPROMPT develops new process concepts, involving innovative tuneable solvent systems to enable rather difficult or so far nonviable synthesis paths. One possible concept is the hydroformylation of long-chained alkenes in microemulsions. For this, a modular mixer-settler concept was proposed, combining high reaction rates and efficient catalyst recycling via the application of technical grade surfactants. The feasibility of such a concept is evaluated in a fully automated, modular mini-plant system within which the characteristics of such a multiphase system pose several obstacles for the operation. Maintaining a stable phase separation for efficient product separation and catalyst recycling is complicated by small and highly dynamic operation windows as well as poor measurability of component concentrations in the liquid phases. In this contribution, a model-based strategy is presented to enable concentration tracking and phase state control within dynamic mini-plant experiments. Raman spectroscopy is used as an advanced process analytical tool, which allows for online in-situ tracking of concentrations. Combined with optical and conductivity analysis optimal plant trajectories can be calculated via the solution of dynamic optimization problem under uncertainty. Applying these, a stable reaction yield of 40 % was achieved, combined with an oil phase purity of 99,8 % (total amount of oily components in the oil phase) and catalyst leaching below 0.1 ppm.