☆ 4.7 Article

Selective liquid phase oxidation of benzyl alcohol catalyzed by carbon nanotubes

CHEMICAL ENGINEERING JOURNAL (2012)

期刊

CHEMICAL ENGINEERING JOURNAL

卷 204, 期 -, 页码 98-106

出版社

ELSEVIER SCIENCE SA

DOI: 10.1016/j.cej.2012.07.098

关键词

Carbon nanotubes; Selective oxidation; Benzyl alcohol; Nitric acid; Carbon catalysis

类别

Engineering, Environmental Engineering, Chemical

资金

National Science Foundation of China [21133010]
Guangdong Provincial National Science Foundation [9251064101000020]

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Protocol

Reagent

摘要

A HNO3-promoted benzyl alcohol catalytic oxidation system was developed in the presence of carbon nanotubes (CNTs), using molecular oxygen as the terminal oxidant under the mild reaction conditions. The effects of solvent, reaction temperature, amount of HNO3, catalyst loading and surface structure of CNTs on the catalytic performances have been investigated. The CNTs showed excellent catalytic activity exhibiting benzyl alcohol conversion of 96.2% and benzaldehyde selectivity of 88.3% under optimal conditions. In particular, it had remarkable reusability without a significant loss in its activity and selectivity after six consecutive usages. The carbon catalysts were characterized by N-2 adsorption-desorption, FT-IR (Fourier transform infrared spectroscopy), Raman, SEM (scanning electron microscopy) and TEM (transmission electron microscopy) techniques. A possible reaction pathway has been proposed, it is clarified that HNO2 attacks benzyl alcohol to generate benzyl nitrite, which is decomposed to benzaldehyde over the HNO3-promoted CNTs-catalyzed system, and electron transfer in graphene sheets plays an important role in the decomposition of benzyl nitrite. These results not only provide an attractive metal-free alternative to noble-metal-catalyzed systems but also come up with a better understanding of the mechanism of CNTs as a metal-free catalyst for the liquid-phase oxidation of benzyl alcohol. (C) 2012 Elsevier B.V. All rights reserved.

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Highly efficient and sustainable cationic polyvinyl chloride nanofibrous membranes for removal of E. coli and Cr (VI): Filtration and adsorption

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Summary: This study developed cationic PVC nanofibrous membranes with high filtration and adsorption capability for the removal of bacteria and hexavalent chromium ions from wastewater. The membranes demonstrated remarkable performance in terms of filtration efficiency and maximum adsorption capacity. Additionally, modified nanofibrous membranes were produced using recycled materials and showed excellent retention rates in dynamic adsorption processes.

CHEMICAL ENGINEERING JOURNAL (2024)

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Article Engineering, Environmental

Concerted proton-coupled electron transfer promotes NiCoP nanowire arrays for efficient overall water splitting at industrial-level current density

Xiaoyan Wang, Zhikun Wang, Ben Jia, Chunling Li, Shuangqing Sun, Songqing Hu

Summary: Inspired by photosystem II, self-supported Fe-doped NiCoP nanowire arrays modified with carboxylate were constructed to boost industrial-level overall water splitting by employing the concerted proton-coupled electron transfer mechanism. The introduction of Fe and carboxyl ligand led to improved catalytic activity for HER and OER, and NCFCP@NF exhibited long-term durability for overall water splitting.

CHEMICAL ENGINEERING JOURNAL (2024)

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Article Engineering, Environmental

Self-limiting growth of thin dense LTA membranes boosts H2 gas separation performance

Pengyao Yu, Ge Yang, Yongming Chai, Lubomira Tosheva, Chunzheng Wang, Heqing Jiang, Chenguang Liu, Hailing Guo

Summary: Thin LTA zeolite membranes were prepared through secondary growth of nano LTA seeds in a highly reactive gel, resulting in membranes with superior permeability and selectivity in gas separation applications.

CHEMICAL ENGINEERING JOURNAL (2024)

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Article Engineering, Environmental

Prediction of phosphate adsorption amount, capacity and kinetics via machine learning: A generally physical-based process and proposed strategy of using descriptive text messages to enrich datasets

Baiqin Zhou, Huiping Li, Ziyu Wang, Hui Huang, Yujun Wang, Ruichun Yang, Ranran Huo, Xiaoyan Xu, Ting Zhou, Xiaochen Dong

Summary: The use of machine learning to predict the performance of specific adsorbents in phosphate adsorption shows great promise in saving time and revealing underlying mechanisms. However, the small size of the dataset and insufficient detailed information limits the model training process and the accuracy of results. To address this, the study employs a fuzzing strategy that replaces detailed numeric information with descriptive text messages on the physiochemical properties of adsorbents. This strategy allows the recovery of discarded samples with limited information, leading to accurate prediction of adsorption amount, capacity, and kinetics. The study also finds that phosphate uptake by adsorbents is generally through physisorption, with some involvement of chemisorption. The framework established in this study provides a practical approach for quickly predicting phosphate adsorption performance in urgent scenarios, using easily accessible information.

CHEMICAL ENGINEERING JOURNAL (2024)

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Article Engineering, Environmental

Absorption of hydrophobic volatile organic compounds in renewable vegetable oils and esterified fatty acids: Determination of gas-liquid partitioning coefficients as a function of temperature

Paula Alejandra Lamprea Pineda, Joren Bruneel, Kristof Demeestere, Lisa Deraedt, Tex Goetschalckx, Herman Van Langenhove, Christophe Walgraeve

Summary: This study evaluates the use of four esterified fatty acids and three vegetable oils as absorption liquids for hydrophobic VOCs. The experimental results show that isopropyl myristate is the most efficient liquid for absorbing the target VOCs.

CHEMICAL ENGINEERING JOURNAL (2024)

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