Numerical study of different pillar shapes using deterministic lateral displacement method for particle separation

Sani, Mohammad Mahdi Eskandari; Aliverdinia, Mahdi; Zand, Mahdi Moghimi

doi:10.1109/icee55646.2022.9827235

Cited by 10 publications

(1 citation statement)

References 6 publications

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“…[ 42 43 44 45 ] The utilization of microfluidic devices opens up numerous opportunities in various fields, such as production of monodisperse double emulsions,[ 46 47 ] particle focusing,[ 48 ] and particle separation. [ 49 50 51 ]…”

Section: Introductionmentioning

confidence: 99%

Microstructured Porous Capacitive Bio-pressure Sensor Using Droplet-based Microfluidics

Eskandarisani,

Aliverdinia,

Malakshah

et al. 2024

Journal of Medical Signals &Amp; Sensors

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Background: Devices that mimic the functions of human skin are known as “electronic skin,” and they must have characteristics like high sensitivity, a wide dynamic range, high spatial homogeneity, cheap cost, wide area easy processing, and the ability to distinguish between diverse external inputs. Methods: This study introduces a novel approach, termed microfluidic droplet-based emulsion self-assembly (DMESA), for fabricating 3D microstructured elastomer layers using polydimethylsiloxane (PDMS). The method aims to produce accurate capacitive pressure sensors suitable for electronic skin (e-skin) applications. The DMESA method facilitates the creation of uniform-sized spherical micropores dispersed across a significant area without requiring a template, ensuring excellent spatial homogeneity. Results: Micropore size adjustment, ranging from 100 to 600 μm, allows for customization of pressure sensor sensitivity. The active layer of the capacitive pressure sensor is formed by the three-dimensional elastomer itself. Experimental results demonstrate the outstanding performance of the DMESA approach. It offers simplicity in processing, the ability to adjust performance parameters, excellent spatial homogeneity, and the capability to differentiate varied inputs. Capacitive pressure sensors fabricated using this method exhibit high sensitivity and dynamic amplitude, making them promising candidates for various e-skin applications. Conclusion: The DMESA method presents a highly promising solution for fabricating 3D microstructured elastomer layers for capacitive pressure sensors in e-skin technology. Its simplicity, performance adjustability, spatial homogeneity, and sensitivity to different inputs make it suitable for a wide range of electronic skin applications.

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