IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v3y2012i1d10.1038_ncomms2027.html
   My bibliography  Save this article

Hygro-responsive membranes for effective oil–water separation

Author

Listed:
  • Arun K. Kota

    (University of Michigan)

  • Gibum Kwon

    (University of Michigan)

  • Wonjae Choi

    (University of Texas, Dallas)

  • Joseph M. Mabry

    (Air Force Research Laboratory, Edwards Air Force Base)

  • Anish Tuteja

    (University of Michigan
    Macromolecular Science and Engineering, University of Michigan)

Abstract

There is a critical need for new energy-efficient solutions to separate oil–water mixtures, especially those stabilized by surfactants. Traditional membrane-based separation technologies are energy-intensive and limited, either by fouling or by the inability of a single membrane to separate all types of oil–water mixtures. Here we report membranes with hygro-responsive surfaces, which are both superhydrophilic and superoleophobic, in air and under water. Our membranes can separate, for the first time, a range of different oil–water mixtures in a single-unit operation, with >99.9% separation efficiency, by using the difference in capillary forces acting on the two phases. Our separation methodology is solely gravity-driven and consequently is expected to be highly energy-efficient. We anticipate that our separation methodology will have numerous applications, including the clean-up of oil spills, wastewater treatment, fuel purification and the separation of commercially relevant emulsions.

Suggested Citation

  • Arun K. Kota & Gibum Kwon & Wonjae Choi & Joseph M. Mabry & Anish Tuteja, 2012. "Hygro-responsive membranes for effective oil–water separation," Nature Communications, Nature, vol. 3(1), pages 1-8, January.
  • Handle: RePEc:nat:natcom:v:3:y:2012:i:1:d:10.1038_ncomms2027
    DOI: 10.1038/ncomms2027
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms2027
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms2027?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. Chao Yang & Mengying Long & Cuiting Ding & Runnan Zhang & Shiyu Zhang & Jinqiu Yuan & Keda Zhi & Zhuoyu Yin & Yu Zheng & Yawei Liu & Hong Wu & Zhongyi Jiang, 2022. "Antifouling graphene oxide membranes for oil-water separation via hydrophobic chain engineering," Nature Communications, Nature, vol. 13(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:3:y:2012:i:1:d:10.1038_ncomms2027. 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.