High-performance trimethylamine gas sensors based on defect-engineering MOF-derived ZnO nanoclusters with tunable surface oxygen vacancies

被引:45
作者
Yu, Shaoyuan [1 ]
Dong, Jingshi [1 ,2 ]
Wang, He [1 ]
Li, Sirui [1 ]
Zhu, Hang [1 ,2 ]
Yang, Tianye [1 ,2 ]
机构
[1] Jilin Univ, Sch Mech & Aerosp Engn, Changchun 130022, Peoples R China
[2] Jilin Univ, Chongqing Res Inst, Chongqing 401100, Peoples R China
基金
中国国家自然科学基金;
关键词
SENSING PROPERTIES; NANOSTRUCTURES; COORDINATION; REDUCTION; LITHIUM; VOCS;
D O I
10.1039/d2ta07048k
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
In this study, we have successfully fabricated high-performance trimethylamine (TMA) sensors. Defect-engineering (DE) strategy in which two organic ligands, i.e., dicarboxylate and tricarboxylate coordinated with Zn2+ ions, simultaneously, was adopted to obtain MOF-derived ZnO nanoclusters with tunable surface oxygen vacancies after the annealing process. The coordinate competition is expected to introduce more coordinate unsaturated metal sites (CUSs) in MOF materials and thus introduce more oxygen vacancies in MOF-derived materials. Results of gas sensing tests indicate that the dual ligand sensor (DL4) exhibits optimal TMA sensing performance including a high response value of 270.1, excellent selectivity, and good stability to 20 ppm TMA at a low operating temperature of 140 degrees C. Results of comprehensive characterization experiments including XPS, UV-vis spectra, PL spectra, and EPR indicate that the extraordinary TMA-sensing performance of the sensor can be attributed to abundant doubly positive oxygen vacancies on the ZnO nanocluster surface. The first-principles calculations including the TMA adsorption energy of the ZnO surface and the corresponding differential charge density were calculated using the software VASP (Vienna Ab initio Simulation Package), which further proved that the surface oxygen vacancy is beneficial to TMA sensing performance improvement. Furthermore, the TMA sensing mechanism is also discussed. The DE MOF-derived preparation strategy is a facile and effective method for designing high-performance metal oxide semiconductor gas sensing materials with tunable surface oxygen vacancies.
引用
收藏
页码:25453 / 25462
页数:11
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