Please use this identifier to cite or link to this item: https://doi.org/10.1002/advs.202001173
Title: Metal-Organic Framework-Surface-Enhanced Infrared Absorption Platform Enables Simultaneous On-Chip Sensing of Greenhouse Gases
Authors: Zhou, Hong
Hui, Xindan
Li, Dongxiao
Hu, Donglin
Chen, Xin 
He, Xianming
Gao, Lingxiao
Huang, He
Lee, Chengkuo 
Mu, Xiaojing
Keywords: greenhouse gases
metal-organic frameworks
metamaterial absorbers
multigas sensors
surface-enhanced infrared absorption
Issue Date: 18-Sep-2020
Publisher: WILEY
Citation: Zhou, Hong, Hui, Xindan, Li, Dongxiao, Hu, Donglin, Chen, Xin, He, Xianming, Gao, Lingxiao, Huang, He, Lee, Chengkuo, Mu, Xiaojing (2020-09-18). Metal-Organic Framework-Surface-Enhanced Infrared Absorption Platform Enables Simultaneous On-Chip Sensing of Greenhouse Gases. ADVANCED SCIENCE 7 (20). ScholarBank@NUS Repository. https://doi.org/10.1002/advs.202001173
Abstract: Simultaneous on-chip sensing of multiple greenhouse gases in a complex gas environment is highly desirable in industry, agriculture, and meteorology, but remains challenging due to their ultralow concentrations and mutual interference. Porous microstructure and extremely high surface areas in metal–organic frameworks (MOFs) provide both excellent adsorption selectivity and high gases affinity for multigas sensing. Herein, it is described that integrating MOFs into a multiresonant surface-enhanced infrared absorption (SEIRA) platform can overcome the shortcomings of poor selectivity in multigas sensing and enable simultaneous on-chip sensing of greenhouse gases with ultralow concentrations. The strategy leverages the near-field intensity enhancement (over 1500-fold) of multiresonant SEIRA technique and the outstanding gas selectivity and affinity of MOFs. It is experimentally demonstrated that the MOF–SEIRA platform achieves simultaneous on-chip sensing of CO2 and CH4 with fast response time (<60 s), high accuracy (CO2: 1.1%, CH4: 0.4%), small footprint (100 × 100 µm2), and excellent linearity in wide concentration range (0–2.5 × 104 ppm). Additionally, the excellent scalability to detect more gases is explored. This work opens up exciting possibilities for the implementation of all-in-one, real-time, and on-chip multigas detection as well as provides a valuable toolkit for greenhouse gas sensing applications.
Source Title: ADVANCED SCIENCE
URI: https://scholarbank.nus.edu.sg/handle/10635/189781
ISSN: 21983844
DOI: 10.1002/advs.202001173
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