Amalgamation-assisted control of profile of liquid metal for the fabrication of microfluidic mixer and wearable pressure sensor
Amalgamation-assisted control of profile of liquid metal for the fabrication of microfluidic mixer and wearable pressure sensor
The presence of microdomes can significantly increase the surface roughness, contact area, and deformability of materials, which have been adopted in many fields including microfluidics, wearable devices, and microanalysis systems. However, the shape of liquid metal (LM) droplet is defined by the density and surface energy, which has very limited room to tune. In this work, a simple, low-cost method to effectively control the profile of LM using the masked amalgamation is presented. The LM amalgamates the masked copper surface to create the complex microdomes with various aspect ratios, sizes, profiles, and structures. The concave dome replicated from the LM mold has been demonstrated to enhance the microfluidic mixing performance. With a pattern transfer technique, the microconvex domes can be patterned on the surface of stretchable conductive composites to develop a flexible and sensitive pressure sensor. This sensor exhibits a fast response time, a wide working range, and an enhanced sensitivity for detecting small strains. As such, the fabricated microdomes exhibit a great potential to enable the fabrication of high-performance sensors, microfluidic platforms, and micro total analysis systems.
liquid metals, microdomes, microfluidics, wearable sensors
Hu, Weiping
d2144f56-67e2-4f3b-9cdd-0936be023a2f
Li, Yuxing
5e0dfa2f-1857-4c16-b79e-7becedb5eb55
Tang, Shi Yang
1d0f15c6-2a3e-4bad-a3d8-fc267db93ed4
Li, Lin
ee65a55e-7b94-43ac-94c2-43ccfaad2949
Niu, Q. Jason
283e63dd-c4b0-4d89-a257-d35910098255
Yan, Sheng
1cf2968c-1639-4c47-a90b-481b86c441cb
21 May 2021
Hu, Weiping
d2144f56-67e2-4f3b-9cdd-0936be023a2f
Li, Yuxing
5e0dfa2f-1857-4c16-b79e-7becedb5eb55
Tang, Shi Yang
1d0f15c6-2a3e-4bad-a3d8-fc267db93ed4
Li, Lin
ee65a55e-7b94-43ac-94c2-43ccfaad2949
Niu, Q. Jason
283e63dd-c4b0-4d89-a257-d35910098255
Yan, Sheng
1cf2968c-1639-4c47-a90b-481b86c441cb
Hu, Weiping, Li, Yuxing, Tang, Shi Yang, Li, Lin, Niu, Q. Jason and Yan, Sheng
(2021)
Amalgamation-assisted control of profile of liquid metal for the fabrication of microfluidic mixer and wearable pressure sensor.
Advanced Materials Interfaces, 8 (10), [2100038].
(doi:10.1002/admi.202100038).
Abstract
The presence of microdomes can significantly increase the surface roughness, contact area, and deformability of materials, which have been adopted in many fields including microfluidics, wearable devices, and microanalysis systems. However, the shape of liquid metal (LM) droplet is defined by the density and surface energy, which has very limited room to tune. In this work, a simple, low-cost method to effectively control the profile of LM using the masked amalgamation is presented. The LM amalgamates the masked copper surface to create the complex microdomes with various aspect ratios, sizes, profiles, and structures. The concave dome replicated from the LM mold has been demonstrated to enhance the microfluidic mixing performance. With a pattern transfer technique, the microconvex domes can be patterned on the surface of stretchable conductive composites to develop a flexible and sensitive pressure sensor. This sensor exhibits a fast response time, a wide working range, and an enhanced sensitivity for detecting small strains. As such, the fabricated microdomes exhibit a great potential to enable the fabrication of high-performance sensors, microfluidic platforms, and micro total analysis systems.
This record has no associated files available for download.
More information
Published date: 21 May 2021
Additional Information:
Publisher Copyright:
© 2021 Wiley-VCH GmbH
Keywords:
liquid metals, microdomes, microfluidics, wearable sensors
Identifiers
Local EPrints ID: 481755
URI: http://eprints.soton.ac.uk/id/eprint/481755
PURE UUID: 29536167-1d8f-4da7-a94f-5ae7e69bcddf
Catalogue record
Date deposited: 07 Sep 2023 16:35
Last modified: 18 Mar 2024 04:13
Export record
Altmetrics
Contributors
Author:
Weiping Hu
Author:
Yuxing Li
Author:
Shi Yang Tang
Author:
Lin Li
Author:
Q. Jason Niu
Author:
Sheng Yan
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics