IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v5y2014i1d10.1038_ncomms5195.html
   My bibliography  Save this article

Supersensitive fingerprinting of explosives by chemically modified nanosensors arrays

Author

Listed:
  • Amir Lichtenstein

    (Tracense Ltd.)

  • Ehud Havivi

    (Tracense Ltd.)

  • Ronen Shacham

    (Tracense Ltd.)

  • Ehud Hahamy

    (Tracense Ltd.
    School of Mathematics, The Raymond and Beverly Sackler Faculty of Exact Sciences Tel-Aviv University)

  • Ronit Leibovich

    (Tracense Ltd.
    School of Mathematics, The Raymond and Beverly Sackler Faculty of Exact Sciences Tel-Aviv University)

  • Alexander Pevzner

    (School of Chemistry, The Raymond and Beverly Sackler Faculty of Exact Sciences Tel-Aviv University)

  • Vadim Krivitsky

    (School of Chemistry, The Raymond and Beverly Sackler Faculty of Exact Sciences Tel-Aviv University)

  • Guy Davivi

    (School of Chemistry, The Raymond and Beverly Sackler Faculty of Exact Sciences Tel-Aviv University)

  • Igor Presman

    (Tracense Ltd.)

  • Roey Elnathan

    (School of Chemistry, The Raymond and Beverly Sackler Faculty of Exact Sciences Tel-Aviv University)

  • Yoni Engel

    (School of Chemistry, The Raymond and Beverly Sackler Faculty of Exact Sciences Tel-Aviv University)

  • Eli Flaxer

    (School of Chemistry, The Raymond and Beverly Sackler Faculty of Exact Sciences Tel-Aviv University
    Afeka Tel Aviv Academic College of Engineering)

  • Fernando Patolsky

    (School of Chemistry, The Raymond and Beverly Sackler Faculty of Exact Sciences Tel-Aviv University
    The Center for Nanoscience and Nanotechnology, Tel-Aviv University
    The Iby and Aladar Fleischman Faculty of Engineering, Tel-Aviv University)

Abstract

The capability to detect traces of explosives sensitively, selectively and rapidly could be of great benefit for applications relating to civilian national security and military needs. Here, we show that, when chemically modified in a multiplexed mode, nanoelectrical devices arrays enable the supersensitive discriminative detection of explosive species. The fingerprinting of explosives is achieved by pattern recognizing the inherent kinetics, and thermodynamics, of interaction between the chemically modified nanosensors array and the molecular analytes under test. This platform allows for the rapid detection of explosives, from air collected samples, down to the parts-per-quadrillion concentration range, and represents the first nanotechnology-inspired demonstration on the selective supersensitive detection of explosives, including the nitro- and peroxide-derivatives, on a single electronic platform. Furthermore, the ultrahigh sensitivity displayed by our platform may allow the remote detection of various explosives, a task unachieved by existing detection technologies.

Suggested Citation

  • Amir Lichtenstein & Ehud Havivi & Ronen Shacham & Ehud Hahamy & Ronit Leibovich & Alexander Pevzner & Vadim Krivitsky & Guy Davivi & Igor Presman & Roey Elnathan & Yoni Engel & Eli Flaxer & Fernando P, 2014. "Supersensitive fingerprinting of explosives by chemically modified nanosensors arrays," Nature Communications, Nature, vol. 5(1), pages 1-12, September.
  • Handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms5195
    DOI: 10.1038/ncomms5195
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms5195
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms5195?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
    ---><---

    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:5:y:2014:i:1:d:10.1038_ncomms5195. 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.