Robotic-based Experimental Procedure for Colorimetric Gas Sensing DevelopmentZechen Li 1, Siyuan Xu 1, Mengyang Cui 2, Jie Deng 2, Jing Jiang 3,4, Yijian Shi 5
1School of Computer and Information Technology, Beijing Jiaotong University, 2Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, 3Zhejiang Lab, 4Faculty of Materials Science and Energy Engineering, Shenzhen University of Advanced Technology, 5College of Electrical and Electronic Engineering, Wenzhou University
Here, we present a protocol to develop colorimetric gas sensors using a robotic-based Design-Build-Test-Learn (DBTL) approach. This protocol integrates high-throughput automation, machine learning, and multi-objective optimization to efficiently discover and optimize sensor formulations for detecting gases like CO2, enabling rapid, cost-effective, and precise sensor development.
