Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/14017
Title: μDACS platform: A hybrid microfluidic platform using magnetic levitation technique and integrating magnetic, gravitational, and drag forces for density-based rare cancer cell sorting
Authors: Keçili, Seren
Yılmaz, Esra
Özçelik, Özge Solmaz
Anıl İnevi, Müge
Günyüz, Zehra Elif
Yalçın Özuysal, Özden
Özçivici, Engin
Tekin, Hüseyin Cumhur
Keywords: Biophysical biomarkers
Circulating tumor cells
Density
Hybrid cell sorting
Label-free
Magnetic levitation
Publisher: Elsevier
Abstract: Circulating tumor cells (CTCs) are crucial indicators of cancer metastasis. However, their rarity in the bloodstream and the heterogeneity of their surface biomarkers present challenges for their isolation. Here, we developed a hybrid microfluidic platform (microfluidic-based density-associated cell sorting (µDACS) platform) that utilizes density as a biophysical marker to sort cancer cells from the population of white blood cells (WBCs). The platform utilizes the magnetic levitation technique on a microfluidic chip to sort cells based on their specific density ranges, operating under a continuous flow condition. By harnessing magnetic, gravitational, and drag forces, the platform efficiently separates cells. This approach involves a microfluidic chip equipped with a microseparator, which directs cells into top and bottom outlets depending on their levitation heights, which are inversely proportional to their densities. Hence, low-density cancer cells are collected from the top outlet, while high-density WBCs are collected from the bottom outlet. We optimized the sorting efficiency by varying the flow rates, and concentrations of the sorting medium's paramagnetic properties using standard densities of polymeric microspheres. To demonstrate the platform's applicability, we performed hybrid microfluidic sorting on MDA-MB-231 human breast cancer cells and U-937 human monocytes. The results showed efficient sorting of rare cancer cells (≥100 cells/mL) from serum samples, achieving a sorting efficiency of ∼70% at a fast-processing speed of 1 mL h−1. This label-free approach holds promise for rapid and cost-effective CTC sorting, facilitating in-vitro diagnosis and prognosis of cancer. © 2023 The Author(s)
URI: https://doi.org/10.1016/j.biosx.2023.100392
https://hdl.handle.net/11147/14017
ISSN: 2590-1370
Appears in Collections:Bioengineering / Biyomühendislik
Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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