IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v192y2022icp384-398.html
   My bibliography  Save this article

Computational analysis of high precision nano-sensors for diagnosis of viruses: Effects of partial antibody layer

Author

Listed:
  • Hosseini-Ara, Reza
  • Mokhtarian, Ali
  • Karamrezaei, Amir Hossein
  • Toghraie, Davood

Abstract

By using these high precision nano-bio-sensors, the slightest mechanical changes are also recognizable, as its detection limit is one hundred times more than conventional methods such as electrochemical sensing. In this research, a silicon nano-bio-sensor is modeled based on a novel modified nonlocal Euler–Bernoulli beam theory. On this basis, shift of resonant frequencies are determined due to adsorption of fine biological particles on the antibody layer. In this regard, the effects of stiffness and mass of partial antibody layer in addition to surface tensions, nonlocal parameter and rotary inertia are investigated, simultaneously. Consequently, the precise resonant frequency of a cantilever biological nano-sensor is determined for diagnosis of viruses. Totally, the results show that resonant frequency of nano-sensor is reduced by taking these effects into account, which should not be ignored at nano-scale. Finally, for the validation of numerical results, the presented results are compared with existing literatures and show complete agreement. This research can create proper insights into the analysis and design of precise resonator bio-nano-sensors based on computational methods.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:matcom:v:192:y:2022:i:c:p:384-398
    DOI: 10.1016/j.matcom.2021.09.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475421003244
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2021.09.009?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.

    References listed on IDEAS

    as
    1. Sayed Arif Ahmadi & Mohammad Zaher Sakha & Sohaila Ebadi & Ashok Kumar Panda, 2021. "Study of milk and dairy products Staphylococcus contamination and antimicrobial susceptibility sold in local markets around Kabul University," International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 4(1), pages 20-24.
    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.
    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. 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.
    2. 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.

    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:eee:matcom:v:192:y:2022:i:c:p:384-398. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    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.