Michael Maiwald

Dr. Michael Maiwald

orcid

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 January 2012 in Progress in Nuclear Magnetic Resonance Spectroscopy
Verified
Journal Article
Closed access
FDFranz Dalitz
Franz Dalitz
MCMarkus Cudaj
Markus Cudaj
MMMichael Maiwald
Michael Maiwald
GGGisela Guthausen
Gisela Guthausen

1 February 2008 in Fluid Phase Equilibria
Verified
Journal Article
Closed access
WBWolfram Böttinger
Wolfram Böttinger
MMMichael Maiwald
Michael Maiwald
HHHans Hasse
Hans Hasse

1 February 2004 in Journal of Magnetic Resonance
Verified
Journal Article
Closed access
MMMichael Maiwald
Michael Maiwald
HFHolger H Fischer
Holger H Fischer
YKYoung-Kyu Kim
Young-Kyu Kim
KAKlaus Albert
Klaus Albert
HHHans Hasse
Hans Hasse

1 October 2016 in TrAC Trends in Analytical Chemistry
Verified
Journal Article
Closed access
KMKlas Meyer
Klas Meyer
SKSimon Kern
Simon Kern
NZNicolai Zientek
Nicolai Zientek
GGGisela Guthausen
Gisela Guthausen
MMMichael Maiwald
Michael Maiwald

13 December 2002 in Industrial & Engineering Chemistry Research
Verified
Journal Article
Closed access
MMMichael Maiwald
Michael Maiwald
HFHolger H. Fischer
Holger H. Fischer
MOMichael Ott
Michael Ott
RPRoger Peschla
Roger Peschla
CKChristian Kuhnert
Christian Kuhnert
HHHans Hasse
Hans Hasse

23 March 2019 in Analytical and Bioanalytical Chemistry
Verified
Journal Article
Open access
PDF file
SKSimon Kern
Simon Kern
LWLukas Wander
Lukas Wander
KMKlas Meyer
Klas Meyer
SGSvetlana Guhl
Svetlana Guhl
AMAnwesh Reddy Gottu Mukkula
Anwesh Reddy Gottu Mukkula
MMMichael Maiwald
Michael Maiwald
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. Graphical abstract