Du Chengzhe, Zhao Chenghao, Ma Huixia, Jiang Rui, Zhang Huanling, Zhou Feng
State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences Beijing 100190 China
SINOPEC Dalian Research Institute of Petroleum and Petrochemicals Co., Ltd Dalian 116100 China
RSC Adv. 2025 May 2;15(18):14307-14314. doi: 10.1039/d5ra01226k. eCollection 2025 Apr 28.
The hydrogenation of dimethyl succinate (DMS) to γ-butyrolactone (GBL) is crucial in producing high-value chemicals for pharmaceuticals, agrochemicals, and battery electrolytes. This study utilized a self-developed copper-based catalyst and a micro-fixed bed reactor to systematically investigate the effects of temperature, pressure, and the hydrogen-to-ester ratio on reaction performance. An intrinsic kinetic model was developed based on experimental data, with reaction rate constants and activation energies determined through standard regression techniques. The model correlated well with observed data, providing insights into reaction kinetics. Validation against experimental data indicated fair agreement across various conditions. Sensitivity analysis confirmed the model's robustness, making it useful for process optimization. This kinetic analysis offers insights to enhance the efficiency and cost-effectiveness of industrial GBL production, aiming to improve overall process yield and efficiency.
将丁二酸二甲酯（DMS）氢化为γ-丁内酯（GBL）对于生产用于制药、农用化学品和电池电解质的高价值化学品至关重要。本研究使用自行开发的铜基催化剂和微固定床反应器，系统地研究了温度、压力和氢酯比对反应性能的影响。基于实验数据建立了本征动力学模型，通过标准回归技术确定了反应速率常数和活化能。该模型与观测数据相关性良好，为反应动力学提供了见解。与实验数据的验证表明在各种条件下吻合度较好。敏感性分析证实了该模型的稳健性，使其可用于工艺优化。这种动力学分析为提高工业GBL生产的效率和成本效益提供了见解，旨在提高整体工艺产率和效率。
