five

Systematic Identification of Solvents Optimal for the Extraction of 5‑Hydroxymethylfurfural from Aqueous Reactive Solutions

收藏
NIAID Data Ecosystem2026-03-09 收录
下载链接:
https://figshare.com/articles/dataset/Systematic_Identification_of_Solvents_Optimal_for_the_Extraction_of_5_Hydroxymethylfurfural_from_Aqueous_Reactive_Solutions/2093227
下载链接
链接失效反馈
官方服务:
资源简介:
To ensure a high efficiency of 5-hydroxymethylfurfural (HMF) synthesis, improved solvents for the extraction of HMF from a reactive aqueous solution were identified using the predictive thermodynamic model COSMO-RS. Utilizing COSMO-RS as a basis for a systematic solvent selection has the advantage of potentially saving significant time and effort by computationally screening several thousand possible solvents. Factors including temperature, concentration, and fructose addition were used for experimental validation of the predictive power of COSMO-RS. Continuous extraction experiments confirmed also kinetics and phase separation to be important for technical implementation. COSMO-RS predicted o-propylphenol and o-isopropylphenol to have partition coefficients as high as 10.02 and 9.82, which are roughly five times higher than the partition coefficient of the previously known, most effective solvent: 2-methyltetrahydrofuran (PHMF = 2). Therefore, the identification of o-propylphenol and o-isopropylphenol as improved solvents constitutes a significant efficiency improvement for the extraction, and by extension for the entire HMF synthesis.
创建时间:
2016-02-12
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作