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 portable and compact cell-free bioprocessing system for the production of on-demand synthesized protein for point-of-care delivery, the system comprising:

• a protein expression module for producing the on-demand synthesized protein, wherein the protein expression module is associated with on-board analytics;
• a protein purification module for purification of the on-demand synthesized protein, wherein the protein purification module is associated with on-board analytics, and wherein the purification module comprises two UV sensors, a multiplicity of programmable syringe pumps, and pressure sensors that generate in-line real-time testing data during a two-step purification process;
• and
• an artificial intelligence (AI) machine learning module,
• wherein the on-board analytics comprise multiple sensors for collecting data during the production of the on-demand synthesized protein, to be analyzed by the AI machine learning module, and wherein the AI machine learning module collects and stores in-line real-time testing data of purified protein from the protein purification module and provides information on product quality and potency for each batch of the on-demand synthesized protein relative to previously produced proteins.