4.8 Article

Custom-sized graphene oxide for the hydrolysis of cellulose

期刊

CARBON
卷 175, 期 -, 页码 429-439

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.carbon.2021.01.108

关键词

Graphene quantum dots; Graphene oxide; Carbocatalysts; Cellulose hydrolysis; Mix-milling

资金

  1. FEDER
  2. Spanish Ministry of Economy and Competitiveness [ENE2017-83854-R]

向作者/读者索取更多资源

This study investigates the catalytic role of various graphene oxide morphologies in cellulose hydrolysis reaction, with GOQDs showing the highest catalytic activity. However, the behavior of GOQDs depends on the crystalline features of the starting cellulose and the degree of substrate-catalyst interaction.
Carbon nanostructures have attracted a long-lasting interest in cellulose hydrolysis reaction. Herein, the usefulness of catalyst downsizing is addressed using various graphene oxide (GO) morphologies, including nanofibers (GONF), sheets of few-layers (FLGO) and quantum dots (GOQD). Such materials were obtained from carbon nanofibers by oxidative cutting and subsequent exfoliation and fractioning in size. The synthesis process incorporated numerous active species (S- and 0- functional groups) onto the carbon sp(2)-network, whose relative abundance was in some instances tuned by hydrothermal reduction. Chemical and structural analysis of GO materials was performed by XRD, TEM, XPS and elemental analysis. GOQDs, as the smallest particle size GO material, exhibited the highest catalytic activity. However, its behaviour was dependent on the crystalline features of the starting cellulose and the substrate-catalysts interaction degree. Thus, only 17.8% of raw cellulose was depolymerized into sugars after 24 h at 135 degrees C, which rose to 60.1% upon enhancing its reactivity by ball-milling (8h, 600 rpm). A simple mix-milling of the cellulose with the catalyst for 10 min enabled an effective solid-solid contact, affording complete conversion and 83.5% of glucose. In comparison, 71.3% and 60.4% of glucose was obtained from their sister counterparts: FLGO and GONF, respectively. (C) 2021 Elsevier Ltd. All rights reserved.

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