Atmospheric modulation of apparent electrical conductivity in a metal−organic framework

Combining high surface area and efficient charge transport, electrically conductive metal−organic frameworks (MOFs) find wide applications in energy storage, sensing, and electrocatalysis. Reliable characterization of electrical conductivity, the key metric for assessing this class of materials, remains challenging due to its high sensitivity to the atmosphere. Herein, through electrical characterization of an exemplary MOF, Cd2(TTFTB) (TTFTB4− = tetrathiafulvalene tetrabenzoate), under various controlled atmospheres, we show that adsorption of water in humid air or N2 improves the apparent room-temperature electrical conductivity by one to two orders of magnitude compared to the values observed in dry atmospheres. This observation in conjunction with spectroscopic characterization, structural analysis, and band structure calculations indicates significant contribution of water-mediated proton conductivity and/or proton-electron coupling to the apparent electrical conductivity. Thus, controlling and reporting atmospheres in electrical conductivity measurements of MOFs is critical to improve their reproducibility and to gain insights into electrical conduction mechanisms. Reliable electrical conductivity characterization in metal-organic frameworks remains challenging due to their high sensitivity to the atmosphere. Here, the adsorption of water in a Cd2 (TTFTB) metal-organic framework improves the apparent room-temperature electrical conductivity by one to two orders of magnitude.

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Publication Details

Journal
Communications Materials
Published
2024-08-29
DOI
https://doi.org/10.1038/s43246-024-00620-2
Citations
3
Primary Topic
Earthquake Detection and Analysis
Type
article
Field-Weighted Citation Impact
1.60

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article

Atmospheric modulation of apparent electrical conductivity in a metal−organic framework

Xiaohe Miao, Christopher H. Hendon, Lei Sun, Parker S. Brodale et al.
3 citations
Communications Materials
Earthquake Detection and Analysis
1.60
article

Atmospheric modulation of apparent electrical conductivity in a metal−organic framework

Xiaohe Miao, Christopher H. Hendon, Lei Sun, Parker S. Brodale, Yingchao Wang
article en
3 citations

Abstract

Combining high surface area and efficient charge transport, electrically conductive metal−organic frameworks (MOFs) find wide applications in energy storage, sensing, and electrocatalysis. Reliable characterization of electrical conductivity, the key metric for assessing this class of materials, remains challenging due to its high sensitivity to the atmosphere. Herein, through electrical characterization of an exemplary MOF, Cd2(TTFTB) (TTFTB4− = tetrathiafulvalene tetrabenzoate), under various controlled atmospheres, we show that adsorption of water in humid air or N2 improves the apparent room-temperature electrical conductivity by one to two orders of magnitude compared to the values observed in dry atmospheres. This observation in conjunction with spectroscopic characterization, structural analysis, and band structure calculations indicates significant contribution of water-mediated proton conductivity and/or proton-electron coupling to the apparent electrical conductivity. Thus, controlling and reporting atmospheres in electrical conductivity measurements of MOFs is critical to improve their reproducibility and to gain insights into electrical conduction mechanisms. Reliable electrical conductivity characterization in metal-organic frameworks remains challenging due to their high sensitivity to the atmosphere. Here, the adsorption of water in a Cd2 (TTFTB) metal-organic framework improves the apparent room-temperature electrical conductivity by one to two orders of magnitude.

Communications MaterialsVol. 5(1)
University of Oregon (US), Westlake University (CN)
National Science Foundation, Camille and Henry Dreyfus Foundation, Westlake University, National Natural Science Foundation of China, Division of Materials Research, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 19%
Earthquake Detection and Analysis
1.60
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