Numerical Simulation of a Sheathless Multi-CTC Separator Lab-on-a-Chip Using Inertial Focusing Method

IF 2.8 3区工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Computational Particle Mechanics Pub Date : 2024-05-20 DOI:10.1007/s40571-024-00770-7

Writtick Pakhira, R. Kumar, Khalid Mohd. Ibrahimi

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Abstract

Investigating and analyzing circulating tumor cells (CTCs) have shown to be an invaluable tool for early cancer detection and diagnosis. Microfluidic devices, which are inexpensive and simple to use, have recently gained a lot of attention for the enumeration and separation of CTCs. In this research, a novel sheathless double-loop spiral-based lab-on-a-chip is proposed dependent upon the functionality of inertial focusing for separating multiple CTCs such as MCF-7 (breast cancer CTCs) and A549 (lung cancer CTCs) distinctly from the normal cells like WBCs (white blood cells) and RBCs (red blood cells). The chip is designed and examined in numerical simulation using COMSOL Multiphysics 5.4 tool at various average flow velocities and Reynolds numbers (Re). In this study, the separation purities and recoveries of \(\sim \) 100% is gained by the chip at the Re values ranges from 71.75 \({\text{to}}\) 76.87 (flowrate of 87.8\(-\)94.1 ml/h), which indicates the high capability of separating multiple CTCs distinctly with high throughput.

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使用惯性聚焦法对无鞘多 CTC 分离器片上实验室进行数值模拟

研究和分析循环肿瘤细胞（CTCs）已被证明是早期癌症检测和诊断的重要工具。微流控装置价格低廉、操作简单，最近在 CTCs 的计数和分离方面受到广泛关注。本研究提出了一种新型无鞘双环螺旋式芯片实验室，该芯片依赖于惯性聚焦功能，可将多种 CTC（如 MCF-7（乳腺癌 CTC）和 A549（肺癌 CTC））与正常细胞（如 WBC（白细胞）和 RBC（红细胞））区分开来。该芯片是利用 COMSOL Multiphysics 5.4 工具在各种平均流速和雷诺数 (Re) 条件下进行设计和数值模拟检查的。在这项研究中，芯片在Re值为71.75 \({\text{to}\) 76.87（流速为87.8 \(-\)94.1 ml/h）时获得了100%的分离纯度和回收率，这表明芯片具有高通量分离多种四氯化碳的能力。

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来源期刊

Computational Particle Mechanics Mathematics-Computational Mathematics

CiteScore

5.70

自引率

9.10%

发文量

期刊介绍： GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research. SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate ﬂows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.