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Improving Molecular Catalyst Activity using Strain-Inducing Carbon Nanotube Supports

Authors :
Jianjun Su
Charles B. Musgrave III
Yun Song
Libei Huang
Yong Liu
Geng Li
Yinger Xin
Pei Xiong
Molly Meng-Jung Li
Hao Ming Chen
Ben Zhong Tang
Marc Robert
William A. Goddard III
Ruquan Ye
Publication Year :
2022
Publisher :
American Chemical Society (ACS), 2022.

Abstract

Support-induced strain engineering is a powerful strategy to modulate the electronic structure of two-dimensional materials. However, controlling strain of planar molecules such as metallophthalocyanines and metalloporphyrins is technically challenging due to their sub–2 nm lateral size. In addition, the effect of strain on molecular properties remains poorly understood. Starting with cobalt phthalocyanine (CoPc), a model CO2 reduction reaction (CO2RR) catalyst, we show that carbon nanotubes (CNTs) are ideal substrates for inducing optimum properties through molecular curvature. Using a tandem-flow electrolyzer with monodispersed CoPc on single-walled CNTs (CoPc/SWCNT) as the catalyst, we achieve a methanol partial current density of >90 mA cm-2 with a selectivity of >60%. CoPc on wide multi-walled CNTs (MWCNTs) leads to only 16.6% selectivity. We report X-ray spectroscopic characterizations to unravel the distinct local coordinations and electronic structures induced by the strong molecule-support interactions. These results agree with our Grand Canonical Density Functional Theory that calculates the energetics as a function of applied potential. We find that SWCNTs induce curvature in CoPc, which improves *CO binding to enable subsequent formation of methanol, while wide MWCNTs favor CO desorption. Thus, we demonstrate that the SWCNT-induced molecular strain increases methanol formation. We also show that induced strain can accelerate the oxygen reduction reaction and CO2RR for other catalysts. Our results show the important role of SWCNTs beyond catalyst dispersion and electron conduction.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........ea80e0981565bf6097b423f5d15a20f5
Full Text :
https://doi.org/10.26434/chemrxiv-2022-r9r22