*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************
THE SCHOOL OF MATERIALS SCIENCE AND ENGINEERING
GEORGIA INSTITUTE OF TECHNOLOGY
Under the provisions of the regulations for the degree
DOCTOR OF PHILOSOPHY
on Tuesday, November 8, 2022
11:00 AM
via
Zoom Videoconferencing
https://gatech.zoom.us/j/94991934416?pwd=clp0YlhxZWVoWjdualducHFqOHNXUT09
will be held the
DISSERTATION PROPOSAL DEFENSE
for
Zhaonan Liu
" Impedance-Based In-Line Cell Growth Sensors for Cell Manufacturing"
Committee Members:
Prof. Ben Wang, Co-advisor, MSE/ISyE/ME
Prof. Chuck Zhang, Co-advisor, ISyE
Prof. Donggang Yao, MSE
Kan Wang, PhD, ISyE
Prof. Rosario Gerhardt, MSE
Abstract:
Cell manufacturing is a fast-growing industry as cell therapies show their unparalleled capabilities to treat diseases that humans have never found a cure. Cell density is a critical quality attribute (CQA) in the cell manufacturing process that serves as a key decision-making factor. Impedance/dielectric spectroscopy (IS/DS) has been widely used for biomass monitoring since the 1930s. The development of high-performance computing devices and artificial intelligence in recent decades has expedited the measuring and analysis of IS/DS, enabling this technique to monitor biomass in real time. However, there is still an abundance of mysteries unrevealed and opportunities unexplored in this complicated technique. The mechanism of low-frequency dielectric dispersion (LFDD) is not fully clear to date. The applications of IS/DS in intricated bioreactors, such as hollow fiber bioreactors, are seldom discussed.
This work is based on a comprehensive understanding of IS/DS and its application in biomass sensing and focuses on the underexplored aspects of this technology. Novel theoretical, experimental, and analytical methods have been developed in this work. Those new methods also have the potential to be applied to other sensing scenarios.
