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  • A tool for designing tree-like concentration gradient generators for lab-on-a-chip applications

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    Kashaninejad268660Accepted.pdf (1.462Mb)
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    Accepted Manuscript (AM)
    Author(s)
    Ebadi, M
    Moshksayan, K
    Kashaninejad, N
    Saidi, MS
    Nguyen, NT
    Griffith University Author(s)
    Nguyen, Nam-Trung
    Kashaninejad, Navid
    Year published
    2020
    Metadata
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    Abstract
    Concentration gradient generators (CGGs) help biologists to perform large scale, fast and high-throughput experiments. This paper introduces a design tool called Tree-like Concentration gradient generator Design Tool (TCDT). The performance of this tool is validated both numerically and experimentally. Three CGGs were fabricated using three different fabrication methods and design parameters. The performance of these devices was examined using the measurement of fluorescent and dye intensity. The performance of the design tool for non-linear and multi-drug concentration gradient generations was investigated as well. In ...
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    Concentration gradient generators (CGGs) help biologists to perform large scale, fast and high-throughput experiments. This paper introduces a design tool called Tree-like Concentration gradient generator Design Tool (TCDT). The performance of this tool is validated both numerically and experimentally. Three CGGs were fabricated using three different fabrication methods and design parameters. The performance of these devices was examined using the measurement of fluorescent and dye intensity. The performance of the design tool for non-linear and multi-drug concentration gradient generations was investigated as well. In addition, a method was developed to investigate the multi-drug concentration effect, which can be the starting point for off-the-shelf usage of the CGGs in personalized medicine. Experimental data, as well as numerical results, confirmed that the output concentrations of the CGGs were within five percent of the values predicted by the design tool. This open-source software is available online for public use.
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    Journal Title
    Chemical Engineering Science
    Volume
    212
    DOI
    https://doi.org/10.1016/j.ces.2019.115339
    Copyright Statement
    © 2020 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence, which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
    Subject
    Chemical engineering
    Mechanical engineering
    Resources engineering and extractive metallurgy
    Science & Technology
    Technology
    Engineering
    Tree-like concentration gradient generator
    Publication URI
    http://hdl.handle.net/10072/393791
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    • Journal articles

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