Single-Atom Catalysts\nin Conductive Metal–Organic\nFrameworks: Enabling Reversible Gas Sensing at Room Temperature

Conductive metal–organic frameworks (cMOFs) offer\nhigh porosity\nand electrical conductivity simultaneously, making them ideal for\napplication in chemiresistive sensors. Recently, incorporating foreign\nelements such as catalytic nanoparticles into cMOFs has become a typical\nstrategy to enhance their sensing properties. However, this approach\nhas led to critical challenges, such as pore blockage that impedes\ngas diffusion, as well as limited improvement in reversibility. Herein,\nsingle-atom catalyst (SAC)-functionalized cMOF is presented as a robust\nsolution to the current limitations. Facile functionalization of SACs\nin a cMOF can be achieved through electrochemical deposition of metal\nprecursors. As a proof of concept, a Pd SAC-functionalized cMOF is\nsynthesized. The Pd SACs are stabilized at the interplanar sites of\ncMOF with Pd–N<sub>4</sub> coordination while preserving the\nporosity of the MOF matrix. Notably, the microenvironment created\nby Pd SACs prevents irreversible structural distortion of cMOFs and\nfacilitates a reversible charge transfer with NO<sub>2</sub>. Consequently,\nthe cMOF exhibits a fully recoverable NO<sub>2</sub> response, which\nwas not previously attainable with the nanoparticle functionalization.\nAdditionally, with the combination of preserved porosity for gas diffusion,\nit demonstrates the fastest level of response and recovery speed compared\nto other 2D-cMOFs of this class.

Publication Details

Journal
Figshare
Published
2024-09-02
DOI
https://doi.org/10.1021/acsnano.4c05815.s001
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single-Atom Catalysts\nin Conductive Metal–Organic\nFrameworks: Enabling Reversible Gas Sensing at Room Temperature

Figshare
Gas Sensing Nanomaterials and Sensors
article

Single-Atom Catalysts\nin Conductive Metal–Organic\nFrameworks: Enabling Reversible Gas Sensing at Room Temperature

article en

Abstract

Conductive metal–organic frameworks (cMOFs) offer\nhigh porosity\nand electrical conductivity simultaneously, making them ideal for\napplication in chemiresistive sensors. Recently, incorporating foreign\nelements such as catalytic nanoparticles into cMOFs has become a typical\nstrategy to enhance their sensing properties. However, this approach\nhas led to critical challenges, such as pore blockage that impedes\ngas diffusion, as well as limited improvement in reversibility. Herein,\nsingle-atom catalyst (SAC)-functionalized cMOF is presented as a robust\nsolution to the current limitations. Facile functionalization of SACs\nin a cMOF can be achieved through electrochemical deposition of metal\nprecursors. As a proof of concept, a Pd SAC-functionalized cMOF is\nsynthesized. The Pd SACs are stabilized at the interplanar sites of\ncMOF with Pd–N<sub>4</sub> coordination while preserving the\nporosity of the MOF matrix. Notably, the microenvironment created\nby Pd SACs prevents irreversible structural distortion of cMOFs and\nfacilitates a reversible charge transfer with NO<sub>2</sub>. Consequently,\nthe cMOF exhibits a fully recoverable NO<sub>2</sub> response, which\nwas not previously attainable with the nanoparticle functionalization.\nAdditionally, with the combination of preserved porosity for gas diffusion,\nit demonstrates the fastest level of response and recovery speed compared\nto other 2D-cMOFs of this class.

Figshare
Openalex Percentile: Top 69%
Gas Sensing Nanomaterials and Sensors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.