IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-51733-8.html
   My bibliography  Save this article

Data-driven fingerprint nanoelectromechanical mass spectrometry

Author

Listed:
  • John E. Sader

    (California Institute of Technology
    California Institute of Technology)

  • Alfredo Gomez

    (California Institute of Technology
    Carnegie Mellon University)

  • Adam P. Neumann

    (California Institute of Technology)

  • Alex Nunn

    (California Institute of Technology)

  • Michael L. Roukes

    (California Institute of Technology
    California Institute of Technology
    California Institute of Technology)

Abstract

Fingerprint analysis is a ubiquitous tool for pattern recognition with applications spanning from geolocation and DNA analysis to facial recognition and forensic identification. Central to its utility is the ability to provide accurate identification without an a priori mathematical model for the pattern. We report a data-driven fingerprint approach for nanoelectromechanical systems mass spectrometry that enables mass measurements of particles and molecules using complex, uncharacterized nanoelectromechanical devices of arbitrary specification. Nanoelectromechanical systems mass spectrometry is based on the frequency shifts of the nanoelectromechanical device vibrational modes that are induced by analyte adsorption. The sequence of frequency shifts constitutes a fingerprint of this adsorption, which is directly amenable to pattern matching. Two current requirements of nanoelectromechanical-based mass spectrometry are: (1) a priori knowledge or measurement of the device mode-shapes, and (2) a mode-shape-based model that connects the induced modal frequency shifts to mass adsorption. This may not be possible for advanced nanoelectromechanical devices with three-dimensional mode-shapes and nanometer-sized features. The advance reported here eliminates this impediment, thereby allowing device designs of arbitrary specification and size to be employed. This enables the use of advanced nanoelectromechanical devices with complex vibrational modes, which offer unprecedented prospects for attaining the ultimate detection limits of nanoelectromechanical mass spectrometry.

Suggested Citation

  • John E. Sader & Alfredo Gomez & Adam P. Neumann & Alex Nunn & Michael L. Roukes, 2024. "Data-driven fingerprint nanoelectromechanical mass spectrometry," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-51733-8
    DOI: 10.1038/s41467-024-51733-8
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-51733-8
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-024-51733-8?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
    ---><---

    References listed on IDEAS

    as
    1. Eric Sage & Marc Sansa & Shawn Fostner & Martial Defoort & Marc Gély & Akshay K. Naik & Robert Morel & Laurent Duraffourg & Michael L. Roukes & Thomas Alava & Guillaume Jourdan & Eric Colinet & Christ, 2018. "Single-particle mass spectrometry with arrays of frequency-addressed nanomechanical resonators," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
    2. Thomas P. Burg & Michel Godin & Scott M. Knudsen & Wenjiang Shen & Greg Carlson & John S. Foster & Ken Babcock & Scott R. Manalis, 2007. "Weighing of biomolecules, single cells and single nanoparticles in fluid," Nature, Nature, vol. 446(7139), pages 1066-1069, April.
    3. Eric Sage & Ariel Brenac & Thomas Alava & Robert Morel & Cécilia Dupré & Mehmet Selim Hanay & Michael L. Roukes & Laurent Duraffourg & Christophe Masselon & Sébastien Hentz, 2015. "Neutral particle mass spectrometry with nanomechanical systems," Nature Communications, Nature, vol. 6(1), pages 1-5, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Samantha Sbarra & Louis Waquier & Stephan Suffit & Aristide Lemaître & Ivan Favero, 2022. "Optomechanical measurement of single nanodroplet evaporation with millisecond time-resolution," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    2. Hosseini-Ara, Reza & Mokhtarian, Ali & Karamrezaei, Amir Hossein & Toghraie, Davood, 2022. "Computational analysis of high precision nano-sensors for diagnosis of viruses: Effects of partial antibody layer," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 192(C), pages 384-398.
    3. Andreas P. Cuny & K. Tanuj Sapra & David Martinez-Martin & Gotthold Fläschner & Jonathan D. Adams & Sascha Martin & Christoph Gerber & Fabian Rudolf & Daniel J. Müller, 2022. "High-resolution mass measurements of single budding yeast reveal linear growth segments," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    4. Stefano Stassi & Ido Cooperstein & Mauro Tortello & Candido Fabrizio Pirri & Shlomo Magdassi & Carlo Ricciardi, 2021. "Reaching silicon-based NEMS performances with 3D printed nanomechanical resonators," Nature Communications, Nature, vol. 12(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:15:y:2024:i:1:d:10.1038_s41467-024-51733-8. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.