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Improving QCM Biosensor Efficiency by Flow Cell Modification

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F25%3A43933489" target="_blank" >RIV/60461373:22340/25:43933489 - isvavai.cz</a>

  • Result on the web

    <a href="http://www2.it.cas.cz/fm/im/im/proceeding/2025/21" target="_blank" >http://www2.it.cas.cz/fm/im/im/proceeding/2025/21</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.14311/TPFM.2025.021" target="_blank" >10.14311/TPFM.2025.021</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Improving QCM Biosensor Efficiency by Flow Cell Modification

  • Original language description

    Biosensors based on quartz crystal microbalance (QCM) are often used for detection of biomolecules, pathogens, or viruses. The biological analyte gets captured at the QCM crystal surface, leading to a change in the crystal resonant frequency and analyte detection. However, with standard biosensor geometry, most of the analyte is captured in regions where the crystal sensitivity is limited. In this work, we investigate how changes in the biosensor geometry influence the spatial distribution of the captured analyte. Using a custom implementation of an immersed boundary method, we add obstacles on the non-detecting top wall of the biosensor flow cell, which is motivated by the possibility to 3D print this surface. Next, we simulate the biomolecules as Lagrangian particles with the Brownian motion taken into account and evaluate the probability of the analyte detection. Several different variants of obstacle shapes and layouts were tested. With the best obstacle configuration found, the amount of analyte captured in the most sensitive region of the crystal was 17% higher than in the standard configuration. The obtained results may be used (i) to generate QCM sensor geometries and validate this computational study, and (ii) as a basis for the development of less computationally demanding models usable in automatic optimization of the QCM biosensor geometry.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Topical Problems of Fluid Mechanics 2025

  • ISBN

    978-80-87012-05-5

  • ISSN

    2336-5781

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    159-166

  • Publisher name

    Ústav termomechaniky AV ČR, v.v.i.

  • Place of publication

    Praha

  • Event location

    Praha

  • Event date

    Feb 12, 2025

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    001597458700021