Methods to incorporate machine learning analytics for optimizing protein purity, potency and quality in an on-demand production system for point-of-care delivery

A method of analyzing the purity and quality of a protein produced in a portable, cell-free bioprocessing system, wherein the bioprocessing system comprises a protein expression module, a protein purification module, and an artificial intelligence (AI) machine learning module, the method comprising:

• obtaining at least pressure and UV sensor data from the protein purification module during a production process for the produced protein;
• transmitting the data to a computer aided classification system;
• extracting features from the data with the computer aided classification system for classifying the produced protein and process conditions, wherein extracted features characterize the produced protein and such sample characterization is compared to characterization of previously extracted features to provide classified features of the produced protein;
• and
• applying an unsupervised clustering process to the classified features to provide a plurality of output clusters to provide enhanced identification of the produced protein during the production process.