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.
© 2021 The Author(s)
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