Microdroplet splitting and mixing by portable triboelectric nanogenerator

The advancement of digital microfluidics technology has been pivotal in academic research and engineering applications. However, the prevailing limitation is that traditional voltage sources generate an excess of Joule heat, adversely impacting droplet operation. Moreover, the power supply equipment required by digital microfluidics limits its applications. Here, we propose a self-powered microdroplet manipulation (SMDM) via triboelectric nanogenerator (TENG), which presents a capability for splitting and mixing different kinds of droplets. Fundamentally, SMDM is based on the electroosmotic flow principle, thereby enabling droplet splitting in the range of from 2 to 630 μL. Notably, for droplet splitting in the range of from 5 to 60 μL, the TENG only requires a power output ranging from 2.704 to 6.084 mW. In addition, SMDM demonstrates proficiency in droplet mixing, which achieves complete mixing of 10 μL droplets in 60 s and 30 μL droplets in a mere 53 s. Therefore, leveraging the strengths of the TENG, a self-powered microdroplet manipulated system is designed for digital microfluidics. It carries significant advantages over the traditional voltage source, including self-powered, low-Joule heat, increased safety and enhanced portability. This research provides a new solution for portable applications of digital microfluidics.

Authors

Institutions

Publication Details

Journal
Nano Research
Published
2024-12-16
DOI
https://doi.org/10.26599/nr.2025.94907128
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.18

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Microdroplet splitting and mixing by portable triboelectric nanogenerator

Tinghai Cheng, Xiang Qin, Zhong Lin Wang, Jianlong Wang et al.
1 citations
Nano Research
Advanced Sensor and Energy Harvesting Materials
0.18
article

Microdroplet splitting and mixing by portable triboelectric nanogenerator

Tinghai Cheng, Xiang Qin, Zhong Lin Wang, Jianlong Wang, Hengyu Li, Wenkai Liu, Wei Long, Qi Gao, Mengru Ding, Xiaojun Cheng
article en
1 citations

Abstract

The advancement of digital microfluidics technology has been pivotal in academic research and engineering applications. However, the prevailing limitation is that traditional voltage sources generate an excess of Joule heat, adversely impacting droplet operation. Moreover, the power supply equipment required by digital microfluidics limits its applications. Here, we propose a self-powered microdroplet manipulation (SMDM) via triboelectric nanogenerator (TENG), which presents a capability for splitting and mixing different kinds of droplets. Fundamentally, SMDM is based on the electroosmotic flow principle, thereby enabling droplet splitting in the range of from 2 to 630 μL. Notably, for droplet splitting in the range of from 5 to 60 μL, the TENG only requires a power output ranging from 2.704 to 6.084 mW. In addition, SMDM demonstrates proficiency in droplet mixing, which achieves complete mixing of 10 μL droplets in 60 s and 30 μL droplets in a mere 53 s. Therefore, leveraging the strengths of the TENG, a self-powered microdroplet manipulated system is designed for digital microfluidics. It carries significant advantages over the traditional voltage source, including self-powered, low-Joule heat, increased safety and enhanced portability. This research provides a new solution for portable applications of digital microfluidics.

Nano ResearchVol. 18(2)
Kunming University of Science and Technology (CN), Yunnan University (CN), Beijing Institute of Nanoenergy and Nanosystems (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, State Key Laboratory of Fluid Power and Mechatronic Systems
Openalex Percentile: Top 50%
Advanced Sensor and Energy Harvesting Materials
0.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.