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Modelling of an Enhanced Microfluidic Device for Segregation of Circulating Tumor Cells using Asymmetric Deterministic Lateral Displacement

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Circulating Tumor cells (CTCs) are very rare cells in blood samples of cancer patients which act as biomarkers for advance cancer diagnosis. Deterministic Lateral Displacement (DLD) has been successfully tested as an effective technique for separation of cells. In the proposed model of microfluidic device using COMSOL Multiphysics 5.4 software, an asymmetric DLD array of circular pillars has been employed to enhance the separation efficiency for separation of CTCs in the case of higher throughput operation. The simulated device showed clear separation of CTCs present in blood sample of lung cancer patients with diameter 22.5 μm from White blood cells (WBCs) of diameter 12 μm at a very high sample flow rate of 22×10-6 kg/s and Reynolds number of 40.4 offering minimum resistance by the implanted pillars thereby enhancing throughput and reducing chances of deformation of CTCs during passage inside the device. The proposed model sharply enhances the separation resolution of the DLD array at very high throughput and indicates better purity of extracted cells at the respective outlets compared to existing models for segregation of CTCs.

    Original languageEnglish
    Title of host publication2020 International Conference on Computational Performance Evaluation, ComPE 2020
    EditorsSudip Paul, Jitendra Kumar Verma
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages73-77
    Number of pages5
    ISBN (Electronic)9781728166445
    DOIs
    Publication statusPublished - 07-2020
    Event2020 International Conference on Computational Performance Evaluation, ComPE 2020 - Shillong, India
    Duration: 02-07-202004-07-2020

    Publication series

    Name2020 International Conference on Computational Performance Evaluation, ComPE 2020

    Conference

    Conference2020 International Conference on Computational Performance Evaluation, ComPE 2020
    Country/TerritoryIndia
    CityShillong
    Period02-07-2004-07-20

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Energy Engineering and Power Technology
    • Computational Mechanics
    • Electrical and Electronic Engineering
    • Safety, Risk, Reliability and Quality
    • Control and Optimization

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