“…The resultant data can then be analyzed via machine learning to optimize and study the contributions of experimental parameters, 14,42 for example via reinforcement learning. Mass spectrometry, 42 nuclear magnetic resonance, 21 Raman spectroscopy, 152 or infrared spectroscopy 153 can be used to monitor reactions in real time, 154 while brightfield microscopy can be used to monitor flow rates, 49 fluid properties, 52 chemical composition, 50 or mixing. 155 Other techniques must be adapted depending on the application; for example, infrared thermography was demonstrated effectively monitor Schematic of an intelligent microfluidic platform including microfluidic chips coupled to miniaturized instrumentation such as an in situ bio-electrochemical multisensor platform, 160 optical probing, mass spectrometry, 42 spectroscopy (e.g., nuclear magnetic resonance, 21 Raman, 152 or infrared), 153 and microscopy (e.g., brightfield or fluorescent).…”