TY - GEN
T1 - Novel strategies for predictive particle monitoring and control using advanced image analysis
AU - Nielsen, Rasmus Fjordbak
AU - Arjomand Kermani, Nasrin
AU - Freiesleben, Louise la Cour
AU - Gernaey, Krist V.
AU - Mansouri, Seyed Soheil
PY - 2019
Y1 - 2019
N2 - Processes including particles, like fermentation, flocculation, precipitation, crystallization etc. are some of the most frequently used operations in the bio-based industries. These processes are today typically monitored using sensors that measure on liquid and gas phase properties. The lack of knowledge of the particles itself has made it difficult to monitor and control these processes. Recent advances in continuous in-situ sensors, that can measure a range of particle properties using advanced image analysis, have now however opened up for implementing novel monitoring and modeling strategies, providing more process insights at a relatively low cost. In this work, an automated platform for particle microscopy imaging is proposed. Furthermore, a model based deep learning framework for predictive monitoring of particles in various bioprocesses using images is suggested, and demonstrated on a case study for crystallization of lactose.
AB - Processes including particles, like fermentation, flocculation, precipitation, crystallization etc. are some of the most frequently used operations in the bio-based industries. These processes are today typically monitored using sensors that measure on liquid and gas phase properties. The lack of knowledge of the particles itself has made it difficult to monitor and control these processes. Recent advances in continuous in-situ sensors, that can measure a range of particle properties using advanced image analysis, have now however opened up for implementing novel monitoring and modeling strategies, providing more process insights at a relatively low cost. In this work, an automated platform for particle microscopy imaging is proposed. Furthermore, a model based deep learning framework for predictive monitoring of particles in various bioprocesses using images is suggested, and demonstrated on a case study for crystallization of lactose.
KW - Bioprocess monitoring
KW - Advanced image analysis
KW - Modeling framework
U2 - 10.1016/B978-0-12-818634-3.50240-X
DO - 10.1016/B978-0-12-818634-3.50240-X
M3 - Article in proceedings
SN - 9780128186343
T3 - Computer Aided Chemical Engineering
SP - 1435
EP - 1440
BT - Proceedings of the 29th European Symposium on Computer Aided Process Engineering
A2 - Anton, Kiss
A2 - Zondervan, Edwin
A2 - Lakerveld, Richard
A2 - Özkan, Leyla
PB - Elsevier
T2 - 29th European Symposium on Computer Aided Process Engineering
Y2 - 16 June 2019 through 19 June 2019
ER -