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Deterministic Lateral Displacement Using Hexagonally Arranged, Bottom-Up-Inspired Micropost Arrays

https://doi.org/10.1021/acs.analchem.1c03035

Razaulla, Talha M.; Young, Olivia M.; Alsharhan, Abdullah; Sochol, Ryan D.; Warren, Roseanne (February 2022, Analytical Chemistry)

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Multiple Linear Regression Modeling of Nanosphere Self-Assembly via Spin Coating

https://doi.org/10.1021/acs.langmuir.1c02057

Razaulla, Talha; Bekeris, Michael; Feng, Haidong; Beeman, Michael; Nze, Ugochukwu; Warren, Roseanne (October 2021, Langmuir)

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Deterministic Lateral Displacement via Self-Assembly-Based Hexagonally Arranged Triangular Posts

Razaulla, Talha; Young, Olivia; Alshahran, Abdullah T.; Ryan D. Sochol; Warren, Roseanne (October 2021, Proceedings of the 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences (µTAS 2021))

Deterministic lateral displacement (DLD) is a microfluidic micro/nanopost array-based technique for size-based particle separations. A key challenge in scaling DLD for handling smaller particles is that creating such “nanoDLD” arrays can be cost-intensive with substantial technical hurdles. To circumvent such issues, here we explore a new “hexagonally arranged triangles (HAT)” DLD geometry that is based on patterns associated with nanosphere lithography (NSL). Finite element simulations and preliminary experiments with 0.86 μm and 4.7 μm particles suggest effective separation capabilities of the HAT-DLD approach, marking an important first step toward new classes of nanoDLD arrays fabricated through bottom-up, self-assembly-based NSL.
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Direct Laser Writing for Deterministic Lateral Displacement of Submicron Particles

https://doi.org/10.1109/JMEMS.2020.2998958

Alsharhan, Abdullah T.; Stair, Anthony J.; Acevedo, Ruben; Razaulla, Talha; Warren, Roseanne; Sochol, Ryan D. (June 2020, Journal of Microelectromechanical Systems)

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