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Universal correlation for the critical diameter of deterministic lateral displacement devices with polygonal posts
Sourabh Das1, Ishaan Gupta2, Supreet Singh Bahga1
1Department of Mechanical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India.
Deterministic lateral displacement (DLD) microfluidic devices use post arrays to separate particles. This study presents a universal correlation for predicting the critical diameter in DLD arrays with polygonal posts.
Area of Science:
- Microfluidics
- Biotechnology
- Particle Separation
Background:
- Deterministic lateral displacement (DLD) is a microfluidic technique for particle separation based on size.
- The critical diameter for separation in DLD arrays is influenced by post geometry, gap, and row shift.
- Polygonal post shapes in DLD arrays require precise geometric parameter understanding for optimal performance.
Purpose of the Study:
- To investigate the functional dependence of the critical diameter on geometric parameters in DLD arrays with polygonal posts.
- To develop a universal correlation for predicting the critical diameter of DLD arrays with arbitrary polygonal post shapes.
- To validate the derived correlation through experimental data and comparison with existing literature.
Main Methods:
- Numerical simulations of fluid flow through DLD devices with varying geometric parameters.
- Development of a predictive correlation for critical diameter based on simulation data.
- Experimental validation using a microfluidic setup with an integrated droplet generator to test DLD arrays.
Main Results:
- A novel correlation was derived to predict the critical diameter of DLD arrays with polygonal posts.
- Simulation-based predictions showed good agreement with experimental measurements.
- The developed correlation accurately estimates critical diameter for DLD devices with diverse polygonal post designs.
Conclusions:
- The study provides a universal correlation for optimizing the design of DLD devices with polygonal posts.
- This correlation facilitates the precise prediction and control of particle separation in microfluidic applications.
- The findings contribute to the advancement of microfluidic particle separation technologies.
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