IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v485y2012i7396d10.1038_nature11084.html
   My bibliography  Save this article

Liquid-crystal-mediated self-assembly at nanodroplet interfaces

Author

Listed:
  • J. A. Moreno-Razo

    (Universidad Autónoma Metropolitana-Iztapalapa, Apartado Postal 55-534, México 09340, Distrito Federal, México)

  • E. J. Sambriski

    (Department of Chemistry and Biochemistry Delaware Valley College)

  • N. L. Abbott

    (Department of Chemical and Biological Engineering University of Wisconsin-Madison)

  • J. P. Hernández-Ortiz

    (Universidad Nacional de Colombia, Sede Medellín, Bloque M3-050, Medellin, Colombia)

  • J. J. de Pablo

    (University of Wisconsin-Madison)

Abstract

Ordering in liquid-crystal applications is usually achieved using surfactants, but here, in modelled nanodroplets of liquid crystals and surfactants, the liquid crystals control the ordering effects, which resemble those seen in block copolymer ordering, such as spots and stripes.

Suggested Citation

  • J. A. Moreno-Razo & E. J. Sambriski & N. L. Abbott & J. P. Hernández-Ortiz & J. J. de Pablo, 2012. "Liquid-crystal-mediated self-assembly at nanodroplet interfaces," Nature, Nature, vol. 485(7396), pages 86-89, May.
  • Handle: RePEc:nat:nature:v:485:y:2012:i:7396:d:10.1038_nature11084
    DOI: 10.1038/nature11084
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature11084
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/nature11084?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Bangfeng Wang & Yiwei Li & Mengfan Zhou & Yulong Han & Mingyu Zhang & Zhaolong Gao & Zetai Liu & Peng Chen & Wei Du & Xingcai Zhang & Xiaojun Feng & Bi-Feng Liu, 2023. "Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence," Nature Communications, Nature, vol. 14(1), pages 1-18, 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:nature:v:485:y:2012:i:7396:d:10.1038_nature11084. 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.