Innovative Microstructure and Morphology Engineering of MOF‐Derived Single‐Atom Sn‐Doped ZnO Nanosheet Showing Highly Sensitive Acetone Sensing

Abstract Single‐atom materials (SAMs) have garnered widespread attention due to their maximum utilization of active metal atoms for catalytic related applications. However, the facile preparation of oxide materials with high single‐atom loading is still challenging. Herein, derivation of highly tunable metal‐organic frameworks (MOFs) precursor is found to be a potential method for the preparation of single‐atom Sn‐doped ZnO materials for high‐performance chemiresistive sensing applications. Specifically, Sn/Zn‐MOF‐L precursor with interdigitated lamellar morphology is transferred from bimetallic Sn/Zn‐MOF‐B featuring tunable microstructure and morphology through solvent treatment. Utilizing the finely Sn‐doped MOF as precursor, single‐atom Sn‐doped ZnO featuring nanosheet morphology and porous structure is successfully constructed. The as‐prepared single‐atom doped oxides show superior acetone sensing performances, as sensor based on 8% Sn‐doped ZnO demonstrates an astonishing response value of 213 ( R a / R g ) toward 10 ppm acetone and low detection limit of 0.52 ppb. The high sensitivity of Sn‐doped ZnO is attributed to the nanosheet morphology with high specific surface area and the distribution of single‐atom Sn active sites, benefiting from the manipulation of MOF precursor. The method for the preparation of single‐atom loaded oxides and their considerable sensing performance offers a new perspective for the design and application of SAMs.

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Publication Details

Journal
Advanced Functional Materials
Published
2025-02-03
DOI
https://doi.org/10.1002/adfm.202422378
Citations
18
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
13.15

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article

Innovative Microstructure and Morphology Engineering of MOF‐Derived Single‐Atom Sn‐Doped ZnO Nanosheet Showing Highly Sensitive Acetone Sensing

Jijie Zhang, Mei‐Hui Yu, Jiuhui Han, Ze Chang et al.
18 citations
Advanced Functional Materials
Gas Sensing Nanomaterials and Sensors
13.15
article

Innovative Microstructure and Morphology Engineering of MOF‐Derived Single‐Atom Sn‐Doped ZnO Nanosheet Showing Highly Sensitive Acetone Sensing

Jijie Zhang, Mei‐Hui Yu, Jiuhui Han, Ze Chang, Xian‐He Bu, Han Fang, Haichao Wang, Hui Zhang
article en
18 citations

Abstract

Abstract Single‐atom materials (SAMs) have garnered widespread attention due to their maximum utilization of active metal atoms for catalytic related applications. However, the facile preparation of oxide materials with high single‐atom loading is still challenging. Herein, derivation of highly tunable metal‐organic frameworks (MOFs) precursor is found to be a potential method for the preparation of single‐atom Sn‐doped ZnO materials for high‐performance chemiresistive sensing applications. Specifically, Sn/Zn‐MOF‐L precursor with interdigitated lamellar morphology is transferred from bimetallic Sn/Zn‐MOF‐B featuring tunable microstructure and morphology through solvent treatment. Utilizing the finely Sn‐doped MOF as precursor, single‐atom Sn‐doped ZnO featuring nanosheet morphology and porous structure is successfully constructed. The as‐prepared single‐atom doped oxides show superior acetone sensing performances, as sensor based on 8% Sn‐doped ZnO demonstrates an astonishing response value of 213 ( R a / R g ) toward 10 ppm acetone and low detection limit of 0.52 ppb. The high sensitivity of Sn‐doped ZnO is attributed to the nanosheet morphology with high specific surface area and the distribution of single‐atom Sn active sites, benefiting from the manipulation of MOF precursor. The method for the preparation of single‐atom loaded oxides and their considerable sensing performance offers a new perspective for the design and application of SAMs.

Advanced Functional MaterialsVol. 35(26)
Nankai University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 1%
Gas Sensing Nanomaterials and Sensors
13.15
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