47715
2019
eng
poster
0
--
--
--
Flexible Automation with compact NMR instruments
Modular plants using intensified continuous processes represent an appealing concept to produce pharmaceuticals. It can improve quality, safety, sustainability, and profitability compared to batch processes, and it enables plug-and-produce reconfiguration for fast product changes. To facilitate this flexibility by real-time quality control, we developed a solution that can be adapted quickly to new processes and includes a compact Nuclear Magnetic Resonance (NMR) spectrometer for online quality monitoring as well as a new model-based control approach. The NMR sensor is a benchtop device enhanced to the requirements of automated chemical production including ro-bust evaluation of sensor data.
Here, we present alternatives for the quantitative determination of the analytes using modular, physically motivated models. These models can be adapted to new substances solely by the use of their corresponding pure component spectra, which can either be derived from experimental spectra as well as from quantum mechanical models or NMR predictors. Modular means that spec-tral models can simply be exchanged together with alternate reagents and products. Beyond that, we comprehensively calibrated an NIR spectrometer based on online NMR process data for the first time within an industrial plant. The integrated solution was developed for a metal organic reac-tion running on a commercial-scale modular pilot plant and it was tested under industrial conditions.
7th Annual PANIC Conference
Hilton Head Island, South Carolina, USA
03.03.2019
07.03.2019
false
true
Simon Kern
Lukas Wander
Klas Meyer
Svetlana Guhl
A. R. Gottu Mukkula
M. Holtkamp
M. Salge
C. Fleischer
N. Weber
R. King
S. Engell
Andrea Paul
M. Pereira Remelhe
Michael Maiwald
eng
uncontrolled
Online NMR Spectroscopy
Analytische Chemie
1 Analytische Chemie; Referenzmaterialien
1.4 Prozessanalytik
Umwelt
Datei im Netzwerk der BAM verfügbar ("Closed Access")
Präsentation
Sensorik
53741
2021
deu
1
63
book
NAMUR Interessengemeinschaft Automatisierungstechnik der Prozessindustrie
0
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--
--
Technologie-Roadmap „Prozess-Sensoren 2027+“
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.
publish
Michael Maiwald
M. Bassler
M. Deilmann
W. Ens
F. Frenzel
M. Gerlach
J. Großmann
F. Grümbel
M. Heisterkamp
U. Kaiser
A. Lambrecht
R. Ohlenkamp
T. Pötter
P. Pyka
E. Roos
A. Schmidt
U. Schünemann
M. Theuer
A. Tukle
N. Weber
deu
uncontrolled
Technologie-Roadmap Prozess-Sensoren
deu
uncontrolled
Prozessindustrie
deu
uncontrolled
Prozessanalytik
deu
uncontrolled
Sensorik
deu
uncontrolled
Digitalisierung
deu
uncontrolled
NAMUR
Analytische Chemie
1 Analytische Chemie; Referenzmaterialien
1.4 Prozessanalytik
Umwelt
Verlagsliteratur
Datei im Netzwerk der BAM verfügbar ("Closed Access")
Sensorik
11146
2005
eng
78
82
2
12
article
Tsukuba
Hyomen Bunseki Kenkyukai
0
--
--
--
Testing of Lateral Resolution in the Nanometre Range Using the BAM-L002 - Certified Reference Material: Application to ToF-SIMS IV and NanoESCA Instruments
Journal of surface analysis
12785
1341-1756
1347-8400
Sonderstandort: Publica-Schrank
International Symposium on Practical Surface Analysis
Jeju, Republic of Corea
2004-10-04
2004-10-06
Mathias Senoner
Thomas Wirth
Wolfgang Unger
M. Escher
N. Weber
D. Funnenmann
B. Krömker
eng
uncontrolled
ESCA
eng
uncontrolled
Nanometrologie
eng
uncontrolled
Nanotechnologie
eng
uncontrolled
Oberflächenanalytik
eng
uncontrolled
SIMS
eng
uncontrolled
XPS
eng
uncontrolled
Zertifiziertes Referenzmaterial
Verlagsliteratur
Physisches Exemplar in der Bibliothek der BAM vorhanden ("Hardcopy Access")
32306
2014
eng
1
8
12
19
article
NDT.net
Kirchwald
1
--
--
--
Digital radiology with photon counting detectors
The progress in X-ray detector electronics (sensitivity and speed) allows meanwhile fast single photon detection by a matrix detector. Combined photon counting and energy discrimination is implemented in the electronic circuit of each detector pixel. The company XCounter developed detectors based on CdTe single crystals, which can be tiled to larger areas and have a pixel size of 100ìm. The largest area available in beginning of 2014 is 50x75 mm². These detectors have very promising properties, which make them very suitable for NDT applications:
1. A CdTe attenuation layer of 750 µm thickness allows efficient X-ray detection up to ca. 300 keV. In counting mode only photon noise is important; no other detector noise sources need to be considered. There is no Offset signal without radiation.
2. Each of the detector pixels has two energy thresholds. These can be used for dual energy imaging for materials separation. Also the suppression of scattered radiation by energy thresholding will improve the image contrast sensitivity. First experiments will be presented which demonstrate the advantages of this new detector technology over the conventional charge integrating detectors.
A challenge is the development of a modified detector calibration procedure, which becomes critical at longer exposure times.
The e-journal of nondestructive testing & ultrasonics
35372
https://www.ndt.net/?id=16709
urn:nbn:de:kobv:b43-323063
1435-4934
Geburtsname von Schumacher, David: Walter, D.
-
Birth name of Schumacher, David: Walter, D.
ECNDT 2014 - 11th European conference on non-destructive testing
Prague, Czech Republic
06.10.2014
10.10.2014
18.12.2014
Creative Commons - Namensnennung-Keine Bearbeitung
Uwe Zscherpel
David Schumacher
Bernhard Redmer
Uwe Ewert
C. Ullberg
N. Weber
T. Pantsar
eng
uncontrolled
Materials characterization
eng
uncontrolled
Radiographic testing (RT)
eng
uncontrolled
Digital detector array
eng
uncontrolled
Photo counting
eng
uncontrolled
Image quality
eng
uncontrolled
Calibration
eng
uncontrolled
Dual-energy
eng
uncontrolled
Energy discrimination
eng
uncontrolled
Digital radiology
eng
uncontrolled
Detectors
Analytische Chemie
Datei für die Öffentlichkeit verfügbar ("Open Access")
Graue Literatur
Wissenschaftliche Artikel der BAM
Bundesanstalt für Materialforschung und -prüfung (BAM)
https://opus4.kobv.de/opus4-bam/files/32306/461_Zscherpel.pdf
48062
2019
eng
3037
3046
14
411
article
Springer Nature
Heidelberg
1
--
--
--
Flexible automation with compact NMR spectroscopy for continuous production of pharmaceuticals
Modular plants using intensified continuous processes represent an appealing concept for the production of pharmaceuticals. It can improve quality, safety, sustainability, and profitability compared to batch processes; besides, it enables plug-and-produce reconfiguration for fast product changes. To facilitate this flexibility by real-time quality control, we developed a solution that can be adapted quickly to new processes and is based on a compact nuclear magnetic resonance (NMR) spectrometer. The NMR sensor is a benchtop device enhanced to the requirements of automated chemical production including robust evaluation of sensor data. Beyond monitoring the product quality, online NMR data was used in a new iterative optimization approach to maximize the plant profit and served as a reliable reference for the calibration of a near-infrared (NIR) spectrometer. The overall approach
was demonstrated on a commercial-scale pilot plant using a metal-organic reaction with pharmaceutical relevance.
Analytical and Bioanalytical Chemistry
10.1007/s00216-019-01752-y
1618-2642
urn:nbn:de:kobv:b43-480623
1618-2650
27.05.2019
https://nbn-resolving.org/urn:nbn:de:kobv:b43-480630
Creative Commons - CC BY - Namensnennung 4.0 International
Simon Kern
Lukas Wander
Klas Meyer
Svetlana Guhl
A. R. Gottu Mukkula
M. Holtkamp
M. Salge
C. Fleischer
N. Weber
S. Engell
Andrea Paul
M. Pereira Remelhe
Michael Maiwald
eng
uncontrolled
NMR Spectroscopy
eng
uncontrolled
NIR Spectroscopy
eng
uncontrolled
Real-time process monitoring
eng
uncontrolled
Real-time quality control
eng
uncontrolled
Continuous processes
eng
uncontrolled
CONSENS
eng
uncontrolled
Data Fusion
Analytische Chemie
1 Analytische Chemie; Referenzmaterialien
1.4 Prozessanalytik
Umwelt
Chemie und Prozesstechnik
Chemische Charakterisierung und Spurenanalytik
Verlagsliteratur
Datei für die Öffentlichkeit verfügbar ("Open Access")
Wissenschaftliche Artikel der BAM
Sensorik
Bundesanstalt für Materialforschung und -prüfung (BAM)
https://opus4.kobv.de/opus4-bam/files/48062/ABC_411_2019_3037-3046_Kern.pdf
48063
2018
eng
researchdata
Zenodo
Geneva
0
--
--
--
Raw data of pilot plant runs for CONSENS project (Case study 1)
In case study one of the CONSENS project, two aromatic substances were coupled by a lithiation reaction, which is a prominent example in pharmaceutical industry. The two aromatic reactants (Aniline and o-FNB) were mixed with Lithium-base (LiHMDS) in a continuous modular plant to produce the desired product (Li-NDPA) and a salt (LiF). The salt precipitates which leads to the formation of particles. The feed streams were subject to variation to drive the plant to its optimum.
The uploaded data comprises the results from four days during continuous plant operation time. Each day is denoted from day 1-4 and represents the dates 2017-09-26, 2017-09-28, 2017-10-10, 2017-10-17.
In the following the contents of the files are explained.
10.5281/zenodo.1438233
Datensatz
https://nbn-resolving.org/urn:nbn:de:kobv:b43-480623
Creative Commons - CC BY - Namensnennung 4.0 International
Simon Kern
Lukas Wander
Klas Meyer
Svetlana Guhl
A. R. Gottu Mukkula
M. Holtkamp
M. Salge
C. Fleischer
N. Weber
S. Engell
Andrea Paul
R. King
Michael Maiwald
eng
uncontrolled
Process Analytical Technology
eng
uncontrolled
Multivariate Data Analysis
eng
uncontrolled
Nuclear Magnetic Resonance
eng
uncontrolled
Near Infrared Spectroscopy
eng
uncontrolled
Continuous Manufacturing
eng
uncontrolled
CONSENS
Analytische Chemie
1 Analytische Chemie; Referenzmaterialien
1.4 Prozessanalytik
Umwelt
Chemie und Prozesstechnik
Chemische Charakterisierung und Spurenanalytik
Datei für die Öffentlichkeit verfügbar ("Open Access")
Graue Literatur
Forschungsdatensätze der BAM
Sensorik
Bundesanstalt für Materialforschung und -prüfung (BAM)