通过调节金属聚(离子液体)的电子结构增强环己烷的选择性氧化作用

IF 9.1 Q1 ENGINEERING, CHEMICAL Green Chemical Engineering Pub Date : 2023-04-18 DOI:10.1016/j.gce.2023.04.002
Ying Jin , Shengxin Chen , Ruirui Wang , Yumei Liu , Xinxin Li , Yingwei Li , Ruirui Zhang , Ruixia Liu
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引用次数: 0

摘要

聚离子液体(PILs)结合了离子液体的大分子结构和独特性质,在催化方面显示出无限的潜力。本研究制备了一系列不同离子比的金属基 PIL,用于环己烷的选择性氧化。表征分析表明,不同的离子化程度可以有效地调整催化剂的 Co-N 位点,使其电子结构发生显著变化,而这些变化与催化氧化性能密切相关。金属基 PIL 的环己烷转化率为 20.07%,环己酮和环己醇(KA 油)收率为 13.06%,均优于其他商用催化剂。与 CoCl2 相比,金属基 PIL 表现出色,具有更高的转化率和 KA 油产率。更有趣的是,本研究创建的催化剂具有可延展的 Co-N 位点,这可能会对催化剂吸附和脱附氧物种的方式产生潜在影响。因此,本研究中的催化剂可作为分子氧用于环己烷的选择性氧化以生产 KA 油,其应用前景十分广阔。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Selective cyclohexane oxidation enhancement by electronic structures regulation of metal-poly(ionic liquid)s

Poly(ionic liquids) (PILs) combined with the macromolecular structure and unique properties of ionic liquids show unlimited potential in catalysis. In this work, a series of metal-based PIL with different ionic ratios were prepared for the selective oxidation of cyclohexane. Characterization analysis reveals that different degrees of ionization could adjust the Co–N sites of the catalysts efficiently, leading to significant changes in their electronic structure, which strongly relate to catalytic performance in oxidation. 20.07% cyclohexane conversion and 13.06% cyclohexanone and cyclohexanol (KA oil) yield can be achieved by metal-based PILs that are better than other commercial catalysts. Compared with CoCl2, metal-based PILs perform well, with superior conversion and KA oil yield. More interestingly, the catalyst created in this study features a malleable Co–N site, which may potentially have an impact on how oxygen species adsorb and desorb from the catalyst. Therefore, the catalyst studied in this work is used as molecular oxygen for the selective oxidation of cyclohexane to produce KA oil, and its application prospect is promising.

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来源期刊
Green Chemical Engineering
Green Chemical Engineering Process Chemistry and Technology, Catalysis, Filtration and Separation
CiteScore
11.60
自引率
0.00%
发文量
58
审稿时长
51 days
期刊最新文献
OFC: Outside Front Cover Outside Back Cover Outside Back Cover OFC: Outside Front Cover Integration of physical information and reaction mechanism data for surrogate prediction model and multi-objective optimization of glycolic acid production
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