Machine Learning-Aided At-Line Detection of Bacterial marker NA for Cell Manufacturing

Abstract

We show a machine learning-aided UV spectroscopy-based method using aseptic instrumentation to detect metabolite NA, a marker of microbial contamination. This potentially enables rapid, at-line microbial contamination detection in cell manufacturing.