PhD Comprehensive| Model-Based Optimization of pH and Temperature in Chinese Hamster Ovary Cell Culture by Ali Ghodba
PhD Comprehensive| Model-Based Optimization of pH and Temperature in Chinese Hamster Ovary Cell Culture by Ali Ghodba
PhD Comprehensive| Model-Based Optimization of pH and Temperature in Chinese Hamster Ovary Cell Culture by Ali Ghodba
The Chemical Engineering Department is hosting a special graduate seminar on Materials innovation by learning from nature: bio-based, bio-derived, bio-mimetic strategies.
Abstract:
In this thesis, design and operation strategies for chemical-looping combustion (CLC) and chemical-looping gasification (CLG) are investigated to improve the sustainability of energy generation. In this work, a nonlinear model predictive control scheme is implemented for large-scale packed bed CLC, and is used to determine control actions which increase the energy generation and carbon capture effectiveness of the process. In addition, a reactor network model is developed for biomass-fueled CLC and CLG and is used to determine reactor designs which improve the gasification efficiency of CLG and the carbon capture effectiveness of CLC.
MASc Oral Exam| : Rheology of Cellulose Nanocrystal Dispersions and Pickering Emulsions Stabilized by Cellulose Nanocrystals by Saumay Kinra
The Chemical Engineering Department is hosting a special graduate seminar on a unified strategy for chemical and biological process scale-up.
PhD Comprehensive| Media optimization of CHO cell culture using a hybrid dynamic flux balance analysis model
Kishore Kandasamy will be completing an MASc Oral Exam in a closed session.
Thesis Title: A Journey into Jamming: Phase Transitions and Edge-to-Edge Heterostructures in Langmuir Blodgett Films of Exfoliated Two-Dimensional Materials
To monitor the progress of manure fermentation and control gas pollutants from manure lagoon released into the atmosphere, a sensor that can detect components of biogas in a reliable manner is necessary. Any sensor requires a sensing material that responds to one specific gas analyte. Polyaniline (PANI), PPy and PDMS are found to have affinity for ammonia and/or methane.
They were tested with gas chromatography using formaldehyde. PANI showed better sorption. SnO2, ZnO, SDS, TiO2 and HCl were selected as dopants for PANI. PANI was synthesized with varying dopant levels for GC testing. When tested with the MEMS sensor, both PANI with SnO2 and ZnO sorbed methane at ambient temperature. PANI-5% ZnO was proven to be the most suitable sensing material for methane detection, showing the highest signal at 50 ppm methane levels.
The Chemical Engineering Department is hosting a special graduate seminar on Highly sensitive and multiplexed platforms for protein quantificaton in complex biological samples.