IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v9y2018i1d10.1038_s41467-018-06939-y.html
   My bibliography  Save this article

Mass spectrometry and Monte Carlo method mapping of nanoparticle ligand shell morphology

Author

Listed:
  • Zhi Luo

    (École Polytechnique Fédérale de Lausanne)

  • Yanfei Zhao

    (École Polytechnique Fédérale de Lausanne)

  • Tamim Darwish

    (Australian Nuclear Science and Technology Organisation)

  • Yue Wang

    (École Polytechnique Fédérale de Lausanne)

  • Jing Hou

    (École Polytechnique Fédérale de Lausanne)

  • Francesco Stellacci

    (École Polytechnique Fédérale de Lausanne
    École Polytechnique Fédérale de Lausanne)

Abstract

Janus, patchy, stripe-like, or random arrangements of molecules within the ligand shell of nanoparticles affect many properties. Among all existing ligand shell morphology characterization methods, the one based on mass spectroscopy is arguably the simplest. Its greatest limitation is that the results are qualitative. Here, we use a tailor-made Monte Carlo type program that fits the whole MALDI spectrum and generates a 3D model of the ligand shell. Quantitative description of the ligand shell in terms of nearest neighbor distribution and characteristic length scale can be readily extracted by the model, and are compared with the results of other characterization methods. A parameter related to the intermolecular interaction is extracted when this method is combined with NMR. This approach could become the routine method to characterize the ligand shell morphology of many nanoparticles and we provide an open access program to facilitate its use.

Suggested Citation

  • Zhi Luo & Yanfei Zhao & Tamim Darwish & Yue Wang & Jing Hou & Francesco Stellacci, 2018. "Mass spectrometry and Monte Carlo method mapping of nanoparticle ligand shell morphology," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06939-y
    DOI: 10.1038/s41467-018-06939-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-018-06939-y
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-018-06939-y?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:9:y:2018:i:1:d:10.1038_s41467-018-06939-y. 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.