Metal–Organic Framework‐Surface‐Enhanced Infrared Absorption Platform Enables Simultaneous On‐Chip Sensing of Greenhouse Gases
Open accessAbstract
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 CO 2 and CH 4 with fast response time (<60 s), high accuracy (CO 2: 1.1%, CH 4: 0.4%), small footprint (100 × 100 µm 2), and excellent linearity in wide concentration range (0–2.5 × 10 4 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.
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Molecular enrichment strategies bring additional working requirements for specific molecules, impeding global molecular recognition.
“The molecular enrichment strategies, including functionalized chemical bonding17,18, chemical reaction19,20, physical adsorption21–23, optical trapping24 as well as passive trapping by undercut structure25–28 bring in the additional working requirements (e.g., chemical stimuli, temperature, pressure, pump power, etc.) for specific molecules, impeding the system for global molecular recognition.”
From Wavelength-multiplexed hook nanoantennas for machine learning enabled mid-infrared spectroscopy (2022) · cites this paper as [22]
Three approaches to optimize nanoantenna sensing by increasing coupling efficiency μ are hotspot release, molecule enrichment, and squeezing adjacent nanoantennas into a nanogap.
“Figure 2b summarizes three approaches to optimize nanoantenna sensing by increasing μ. Hotspots release is proposed to increase accessible sensing areas for analytes, which are usually blocked by the substrate, to further enhance the coupling efficiency25–28.”
From Wavelength-multiplexed hook nanoantennas for machine learning enabled mid-infrared spectroscopy (2022) · cites this paper as [22]
In PNA-based SEIRAS, the great challenge is the limited bandwidth of nanoantenna resonances compared with the ultra-broadband vibrational absorption fingerprints.
“In PNA-based surface-enhanced IR absorption spectroscopy (SEIRAS), the great challenge is the limited bandwidth of nanoantenna resonances compared with the ultra-broadband vibrational absorption fingerprints.”
From Wavelength-multiplexed hook nanoantennas for machine learning enabled mid-infrared spectroscopy (2022) · cites this paper as [22]
Previous works show many solutions using multiple resonances of nanoantenna structures to capture plasmonic enhanced molecular fingerprints in separate wavelength ranges for sensing different molecule species.
“Previous works show many solutions using multiple resonances of nanoantenna structures to capture the plasmonic enhanced molecular fingerprints in separate wavelength ranges for sensing different molecule species22,39,41,50,54–56.”
From Wavelength-multiplexed hook nanoantennas for machine learning enabled mid-infrared spectroscopy (2022) · cites this paper as [22]
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Self-citation
- Authors
- Zhou, H., Hui, X., Li, D., Hu, D., Chen, X., He, X., Gao, L., Huang, H., Lee, C., & Mu, X.
- Affiliations
- Chongqing University (CN)
- National University of Singapore (SG)
- Corresponding author
- Lee, Chengkuo
- Mu, Xiaojing
- ORCID
- Venue
- Advanced Science
- Publisher
- Wiley
- Published
- 2020-09-18
- Volume
- 7
- Issue
- 20
- Pages
- 2001173-2001173
- ISSN
- 2198-3844 (ISSN-L)
- PMC
- PMC7578855
- OpenAlex
- W3087008916
- Cited by
- 136
- References
- 47
- Citations by year
- 2026: 10 · 2025: 29 · 2024: 26 · 2023: 28 · 2022: 20 · 2021: 19 · 2020: 4
- FWCI
- 6.10
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Advanced Science (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- National University of Singapore (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Key Research and Development Program of China (2019YFB2004800, 2019YFB2004803, 2016YFB0402702)
- Fundamental Research Funds for the Central Universities (2019CDCGGD320)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Gas Sensing Nanomaterials and Sensors
- Physical Sciences › Chemistry › Spectroscopy › Spectroscopy and Laser Applications
- Physical Sciences › Chemistry › Inorganic Chemistry › Metal-Organic Frameworks: Synthesis and Applications
- Keywords
- metal-organic frameworks, surface-enhanced infrared absorption, carbon dioxide detection, methane detection, gas selectivity
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