大学化学2026，Vol.41Issue(1)：1-8,8.DOI:10.12461/PKU.DXHX202505049
自驱动固体酸催化乙酸苄酯的合成
Self-Driving Solid Acid Catalyzed Synthesis of Benzyl Acetate
摘要
Abstract
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.关键词
数字化/全自动/固体酸催化/酯化反应Key words
Digitization/Fully automatic/Solid acid catalysis/Esterification reaction分类
社会科学引用本文复制引用
牛昊蕃,吴郁菡,李欣燃,李龙妹,王栋,张永策,刘凤玉,白伟..自驱动固体酸催化乙酸苄酯的合成[J].大学化学,2026,41(1):1-8,8.基金项目
大连理工大学教育教学改革基金项目 （）
