Quantitative online NMR spectroscopy for industrial reaction and process monitoring
- 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 techniquesCompact 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.…
MetadatenAutor*innen: | Klas MeyerORCiD |
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Koautor*innen: | Patrick Gräßer, Lukas WanderORCiD, Svetlana Guhl, Simon KernORCiD, Michael MaiwaldORCiD |
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Dokumenttyp: | Vortrag |
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Veröffentlichungsform: | Präsentation |
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Sprache: | Englisch |
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Jahr der Erstveröffentlichung: | 2017 |
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DDC-Klassifikation: | Naturwissenschaften und Mathematik / Chemie / Analytische Chemie |
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Freie Schlagwörter: | CONSENS; Gas analysis; Hydroformylation; Indirect hard modeling; Online NMR spectroscopy; Process monitoring; Reaction monitoring |
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Veranstaltung: | Syngenta Face to Face Meeting Process Analytical Technology |
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Veranstaltungsort: | Münchwilen, Switzerland |
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Beginndatum der Veranstaltung: | 12.09.2017 |
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Enddatum der Veranstaltung: | 14.09.2017 |
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Verfügbarkeit des Dokuments: | Datei im Netzwerk der BAM verfügbar ("Closed Access") |
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Datum der Freischaltung: | 18.09.2017 |
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Referierte Publikation: | Nein |
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Eingeladener Vortrag: | Nein |
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