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Published on: February 1, 2022
Microfluidic shape-based separation for cells and particles: recent progress and future perspective
Muhammad Soban Khan1, Raihan Hadi Julio1, Mushtaq Ali1
1Department of Mechanical Engineering, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju 61186, Republic of Korea. jinsoopark@jnu.ac.kr.
Shape-based microfluidic separation offers precise particle isolation, outperforming size-based methods for biomedical and material applications. This review details advancements in passive and active techniques for shape-selective cell and particle sorting.
Area of Science:
- Microfluidics
- Biotechnology
- Materials Science
Background:
- Conventional size-based particle separation methods are limited.
- Shape-based separation is crucial for isolating particles with identical volumes but different morphologies, essential for biomedical applications like pathological cell isolation.
- Microfluidic platforms offer a powerful yet underdeveloped strategy for shape-based separation.
Purpose of the Study:
- To provide a comprehensive overview of recent progress in microfluidic platforms for shape-selective separation.
- To critically analyze both passive and active microfluidic techniques for shape discrimination.
- To highlight advancements, challenges, and future directions in shape-based microfluidic separation.
Main Methods:
- Review of passive microfluidic systems: deterministic lateral displacement, pinched flow fractionation, inertial, and viscoelastic microfluidics.
- Review of active microfluidic systems: dielectrophoresis, magnetophoresis, optophoresis, and acoustophoresis.
- Analysis of underlying mechanisms, technological advancements, and experimental/computational approaches for shape sensitivity.
Main Results:
- Recent advancements show high purities exceeding 95% and shape-based sorting efficiencies above 90%.
- Throughput rates vary from microliters to milliliters per minute, depending on device configuration.
- Techniques exploit hydrodynamic interactions or external fields to modulate particle trajectories based on geometric anisotropy.
Conclusions:
- Shape-based microfluidic separation is a promising strategy for high-precision particle isolation in diagnostics, therapeutics, and materials science.
- Challenges include modeling complex particle behaviors (rotation, alignment, deformability) and the need for integrated control and optimization.
- Future directions involve advancing scalable, high-precision shape-based separation techniques.
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