IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v10y2019i1d10.1038_s41467-019-09157-2.html
   My bibliography  Save this article

Fluorinated MOF platform for selective removal and sensing of SO2 from flue gas and air

Author

Listed:
  • M. R. Tchalala

    (King Abdullah University of Science and Technology (KAUST))

  • P. M. Bhatt

    (King Abdullah University of Science and Technology (KAUST))

  • K. N. Chappanda

    (King Abdullah University of Science and Technology (KAUST))

  • S. R. Tavares

    (Institut Charles Gerhardt Montpellier (UMR CNRS 5253), Université Montpellier)

  • K. Adil

    (King Abdullah University of Science and Technology (KAUST))

  • Y. Belmabkhout

    (King Abdullah University of Science and Technology (KAUST))

  • A. Shkurenko

    (King Abdullah University of Science and Technology (KAUST))

  • A. Cadiau

    (King Abdullah University of Science and Technology (KAUST))

  • N. Heymans

    (Service de thermodynamique, Faculté Polytechnique de Mons, Université de Mons)

  • G. Weireld

    (Service de thermodynamique, Faculté Polytechnique de Mons, Université de Mons)

  • G. Maurin

    (Institut Charles Gerhardt Montpellier (UMR CNRS 5253), Université Montpellier)

  • K. N. Salama

    (King Abdullah University of Science and Technology (KAUST))

  • M. Eddaoudi

    (King Abdullah University of Science and Technology (KAUST))

Abstract

Conventional SO2 scrubbing agents, namely calcium oxide and zeolites, are often used to remove SO2 using a strong or irreversible adsorption-based process. However, adsorbents capable of sensing and selectively capturing this toxic molecule in a reversible manner, with in-depth understanding of structure–property relationships, have been rarely explored. Here we report the selective removal and sensing of SO2 using recently unveiled fluorinated metal–organic frameworks (MOFs). Mixed gas adsorption experiments were performed at low concentrations ranging from 250 p.p.m. to 7% of SO2. Direct mixed gas column breakthrough and/or column desorption experiments revealed an unprecedented SO2 affinity for KAUST-7 (NbOFFIVE-1-Ni) and KAUST-8 (AlFFIVE-1-Ni) MOFs. Furthermore, MOF-coated quartz crystal microbalance transducers were used to develop sensors with the ability to detect SO2 at low concentrations ranging from 25 to 500 p.p.m.

Suggested Citation

  • M. R. Tchalala & P. M. Bhatt & K. N. Chappanda & S. R. Tavares & K. Adil & Y. Belmabkhout & A. Shkurenko & A. Cadiau & N. Heymans & G. Weireld & G. Maurin & K. N. Salama & M. Eddaoudi, 2019. "Fluorinated MOF platform for selective removal and sensing of SO2 from flue gas and air," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-09157-2
    DOI: 10.1038/s41467-019-09157-2
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-019-09157-2
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-019-09157-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kun Li & Junchen Chen & Jingyu Lin & Huanyu Zhang & Yujing Xie & Zhaohua Li & Ling Wang, 2022. "Identifying Ecosystem Service Trade-Offs and Their Response to Landscape Patterns at Different Scales in an Agricultural Basin in Central China," Land, MDPI, vol. 11(8), pages 1-16, August.
    2. Rupam, Tahmid Hasan & Palash, M.L. & Islam, Md Amirul & Saha, Bidyut Baran, 2022. "Transitional metal-doped aluminum fumarates for ultra-low heat driven adsorption cooling systems," Energy, Elsevier, vol. 238(PC).
    3. Zhihao Ren & Zixuan Zhang & Jingxuan Wei & Bowei Dong & Chengkuo Lee, 2022. "Wavelength-multiplexed hook nanoantennas for machine learning enabled mid-infrared spectroscopy," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    4. Qingwei Shi & Yupeng Hu & Tiecheng Yan, 2023. "A Study on the Effect of Innovation-Driven Policies on Industrial Pollution Reduction: Evidence from 276 Cities in China," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    5. Sa Wang & Yu Fu & Ting Wang & Wansheng Liu & Jian Wang & Peng Zhao & Heping Ma & Yao Chen & Peng Cheng & Zhenjie Zhang, 2023. "Fabrication of robust and cost-efficient Hoffmann-type MOF sensors for room temperature ammonia detection," Nature Communications, Nature, vol. 14(1), pages 1-9, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-09157-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.