Robotization of Synthesis and Analysis Process of Graphene Oxide-Based Membrane

The use of collaborative robots (Cobots) for materials development in chemical laboratories is currently of high priority. Herein, the Cobot is used for autonomous continued analysis and synthesis of graphene oxide-polyethyleneimine-based membrane to unify a method and prospects for big data collection are shown. Membranes have already demonstrated a selective affinity to potassium cations and promised to adjust permeability for other cations by changing pH. The Cobot allows a variation of membrane properties by its composition modification. The present strategy combines a novel perspective of material production by Cobots and the application of machine learning. Moreover, the current approach can be adapted for different modern chemical laboratories for various scientific research, and the proper workflow is provided. Collaborative robots (Cobots) for materials development in chemical laboratories are currently of high priority. In this study, Cobot synthesise an intelligent membrane and analyzed it. It is an advanced area for dataset collection and material artificial intelligence optimization. The Cobot allows a variation of membrane properties by its composition modification. Together with computational descriptors, the dataset can be further multiplied.image (c) 2024 WILEY-VCH GmbH