自驱动固体酸催化乙酸苄酯的合成OA

The rapid advancement of artificial intelligence(AI)technology has established AI for Science(AI4S)as an emerging paradigm in scientific research,particularly revolutionizing experimental methodologies in chemistry.This study innovatively introduces the concept of Self-Driving Laboratories(SDL)to address future challenges in chemical research and explore its application in AI-driven digital transformation of fundamental chemical experiments.Employing a recyclable solid acid catalyst for the esterification reaction between acetic acid and benzyl alcohol,we developed a cost-effective,education-oriented closed-loop system for reaction condition optimization.The integrated system comprises an automated reactor based on the Neodawn automatic synthesizer,a custom-designed liquid-phase automatic sampling and monitoring system,and a Python-based decision optimization algorithm.This work successfully overcomes existing challenges in hardware compatibility and algorithm optimization,providing a robust foundation for future innovations in chemical experimentation.