Document Type
Article
Publication Date
9-2023
Department
Department of Materials Science and Engineering
Abstract
Combining terrestrial biomass with submarine-type hydrothermal environments for CO2 reduction is a possible approach for realizing new energies while achieving sustainable circulation of carbon. Herein, carbohydrateenabled CO2 reduction based on NaHCO3 conversion to formate revealed that hydrothermal environments facilitated direct hydrogen transfer from carbohydrates (glucose, cellulose) to CO2/NaHCO3 with hot water (250–300 °C, 5–20 MPa) acting as homogeneous catalyst in absence of any conventional catalysts giving CO2/ NaHCO3 reduction efficiencies as high as 76% for cellulose. Time-resolved operando hydrothermal DRIFTS spectra of glycolaldehyde in hot water (250 °C, autogenous pressure) verified that water catalyzed NaHCO3 reduction by converting the -CHO group in the carbohydrate to its hydrated state as -CH(OH)2, which enabled NaHCO3 reduction by direct hydrogen transfer and that the ratio of hydrogen transfer from water:- glycolaldehyde for NaHCO3 reduction was about 13:87 on an atom basis. For cellulose exploited as energy input, a greater than 3.4% solar-to-formate efficiency can be theoretically attained, which is unprecedented compared with present literature values. These findings provide basic data for future studies on biomass-enabled CO2 reduction and broaden the scope of hydrothermal chemistry for developing net-zero emission processes.
Publication Title
Next Energy
Recommended Citation
Yang, Y.,
Zhong, H.,
Cheng, J.,
Hu, Y.,
Smith, R. L.,
&
Jin, F.
(2023).
Carbohydrates generated via hot water as catalyst for CO2 reduction reaction.
Next Energy,
1(3).
http://doi.org/10.1016/j.nxener.2023.100037
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p2/634
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Version
Publisher's PDF
Publisher's Statement
© 2023 The Authors. Published by Elsevier Ltd. Publisher’s version of record: https://doi.org/10.1016/j.nxener.2023.100037