详细信息

Process Optimization and Kinetic Modeling for Sucrose Acylation to Sucrose-6-acetate through the Dibutyltin Oxide Method  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Process Optimization and Kinetic Modeling for Sucrose Acylation to Sucrose-6-acetate through the Dibutyltin Oxide Method

作者:Yang, Minghua[1];Ma, Zhihong[1];Chen, Lejian[1];Sun, Weizhen[1];Zhao, Ling[1]

机构:[1]East China Univ Sci & Technol, Sch Chem Engn, State Key Lab Chem Engn, Shanghai 200237, Peoples R China

年份:2024

卷号:63

期号:21

起止页码:9371

外文期刊名:INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

收录:;EI(收录号:20242116132430);WOS:【SCI-EXPANDED(收录号:WOS:001225254900001)】;

基金:The financial support by the National Key Research and Development Project (2022YFC2104504) is gratefully acknowledged.

语种:英文

外文关键词:Acylation - Kinetic parameters - Kinetic theory - Molar ratio - Optimization - Process control - Reaction kinetics - Temperature

摘要:Sucrose-6-acetate (S-6-A) is an important intermediate in the industrial production process of sucralose. In this work, the synthesis and reaction kinetics for both the high-temperature and low-temperature processes of sucrose acylation to produce S-6-A via the dibutyltin oxide method were investigated. The influences of the molar ratios of both dibutyltin oxide (DBTO)/sucrose and acetic anhydride/sucrose, reaction time, and temperature on the yield of S-6-A were evaluated. Based on the reaction mechanism of the high-temperature process and the solubility characteristic of DBTO, the first-order pseudohomogeneous kinetic model was proposed, which fitted experimental data well in the temperature range of 360.15 to 370.65 K. In addition, the second-order pseudohomogeneous kinetic model was established for the low-temperature process, and the model fitting was in good agreement with experimental data in the temperature range of 274.15 to 296.15 K. The results indicate that the early stage cooling and reduction of reaction time can significantly enhance the yield of S-6-A in the low-temperature process. Hopefully, the kinetic models developed in this work can provide valuable insights into the process optimization of the acylation reaction, the design of the reactors, and the continuous process.

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