Realizing Direct Conversion of Glucose to Furfurals with Tunable Selectivity Utilizing a Carbon Dot Catalyst with Dual Acids Controlled by a Biphasic Medium

25 July 2022, Version 2
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Developing cost-effective processing strategies for the preparation of fuel-precursor chemicals, including 5-hydroxymethylfurfural (HMF) and furfural, has been dedicatedly researched over the last few years. These compounds are typically produced using different carbohydrate sources, say furfural using xylose and HMF using glucose. Herein, we report the significant formation of both these furans using a single glucose source over the fine-tuned Fe2+@SO3-CD nanocomposite. The catalyst exhibiting two different acidic sites, such as Lewis and Brønsted, developed by the iron (II) metal and sulfonate groups, respectively, offered a synergistic effect on the glucose decomposition into furfurals. Mechanistically, the iron (II) Lewis metal acid sites play a vital role in the significant formation of furfurals. Furthermore, the THF/H2O biphasic system influenced a selective formation of HMF and furfural, achieving as high as 85% HMF (94% selectivity) in 1:2 THF/H2O and 56% furfural (90% selectivity) in 1:1 THF/H2O. The recyclability study showed that the catalyst is effective for 4 cycles. The green metrics analysis of the solid acid catalysis represented a greener strategy for furans production. Overall, the catalytic setup can be upscaled because of the involvement of cheaper precursors and less labor-intensive catalyst preparation.

Keywords

Carbon dots
Lewis and Brønsted acids
glucose
5-hydroxymethylfurfural
furfural
biomass
biphasic solvent

Supplementary materials

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Supporting Information
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The supplementary information (SI) provides additional details on the catalyst’s analytical characterization (UV-vis spectra, AFM, TGA, TPD, FE-SEM/EDX, and relative abundance, elemental mapping, HPLC data), recycle performance with P-XRD and TGA data, green metrics parameter formulae, and literature comparison tables.
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