The combination of the Capacitance spectroscopy and Flow imaging microscopy imaging technology will provide the real-time detection of bacterial contamination in biopharmaceutical manufacturing at the currently established limits of on-line detection. Capacitance spectra and cell morphology data will be incorporated into descriptive and predictive chemometric models (PCA and PLS). These models will establish meaningful correlations between in-line and at-line capacitance and imaging data and the contamination state of the bioreaction. This will substantially reduce the time for the detection of contamination and the resulting cost (resources and labor) associated with a contamination event. The utilization of the technology and predictive modeling will allow facile and faster detection of bacterial contamination in bioprocess manufacturing.
Learning Objectives:
Upon completion, participants will be able to understand how capacitance spectroscopy and flow imaging microscopy can be used to detect and monitor early bacterial contamination in mammalian cell culture.
Participants will be able to understand how predictive chemometric modeling could be applied and predict the bacterial contamination.
Participants will be able to understand what different information can be understood from a spectroscopic and an imaging microscopic method to monitor and detect early bacterial contamination.